Skip to main content
Advertisement
  • Loading metrics

Towards harmonisation of entomological surveillance in the Mediterranean area

  • Frédéric Jourdain ,

    frederic.jourdain@ird.fr

    Current address: Santé Publique France, Saint-Maurice, France

    Affiliation French National Research Institute for Sustainable Development, Research unit MIVEGC IRD-CNRS-Montpellier University, Montpellier, France

  • Abdallah M. Samy,

    Affiliation Entomology Department, Faculty of Science, Ain Shams University, Cairo, Egypt

  • Afrim Hamidi,

    Affiliation University of Prishtina, Faculty of Agriculture and Veterinary Sciences, Prishtina, Kosovo

  • Ali Bouattour,

    Affiliation Université de Tunis El Manar, Institut Pasteur de Tunis, LR11IPT03 Service d’entomologie médicale, Tunis, Tunisia

  • Bülent Alten,

    Affiliation Hacettepe University, Faculty of Science, Biology Department, Ecology Section, Ankara, Turkey

  • Chafika Faraj,

    Affiliation Laboratoire d'Entomologie Médicale, Institut National d'Hygiène, Rabat, Morocco

  • David Roiz,

    Affiliation French National Research Institute for Sustainable Development, Research unit MIVEGC IRD-CNRS-Montpellier University, Montpellier, France

  • Dušan Petrić,

    Affiliation Faculty of Agriculture, Department of Phytomedicine and Environment Protection, Laboratory for Medical Entomology, University of Novi Sad, Novi Sad, Serbia

  • Elisa Pérez-Ramírez,

    Affiliation Centro de Investigación en Sanidad Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CISA), Carretera Algete-El Casar, Valdeolmos, Madrid, Spain

  • Enkeledja Velo,

    Affiliation Control of Infectious Diseases Department, Institute of Public Health, Tirana, Albania

  • Filiz Günay,

    Affiliation Hacettepe University, Faculty of Science, Biology Department, Ecology Section, Ankara, Turkey

  • Golubinka Bosevska,

    Affiliation Institute of Public Health of R. Macedonia, Laboratory for virology and molecular diagnostics, Skopje, the Former Yugoslav Republic of Macedonia

  • Ibrahim Salem,

    Affiliation Ministry of Health, Central public health laboratory, Ramallah, Palestine

  • Igor Pajovic,

    Affiliation University of Montenegro, Biotechnical Faculty, Podgorica, Montenegro

  • Jelena Marić,

    Affiliation PI Veterinary Institute of the Republic of Srpska, Banja Luka, Bosnia and Herzegovina

  • Khalil Kanani,

    Affiliation Parasitic and Zoonotic Diseases Department, Vector-Borne Diseases programmes manager, MOH, Ramallah, Jordan

  • Lusine Paronyan,

    Affiliation Epidemiology of Vector borne and Parasitic diseases, National Center for Disease Control and Prevention, Ministry of Health, Yerevan, Armenia

  • Maria-Grazia Dente,

    Affiliation National Center for Global Health, Istituto Superiore di Sanità, Rome, Italy

  • Marie Picard,

    Affiliation French National Research Institute for Sustainable Development, Research unit MIVEGC IRD-CNRS-Montpellier University, Montpellier, France

  • Marija Zgomba,

    Affiliation Faculty of Agriculture, Department of Phytomedicine and Environment Protection, Laboratory for Medical Entomology, University of Novi Sad, Novi Sad, Serbia

  • M'hammed Sarih,

    Affiliation Laboratoire des Maladies Vectorielles, Institut Pasteur du Maroc, Casablanca, Morocco

  • Nabil Haddad,

    Affiliation Laboratory of Immunology and Vector-Borne Diseases, Faculty of Public Health, Lebanese University, Fanar, Lebanon

  • Oleksandr Gaidash,

    Affiliation State Body “Ukrainian I. I. Mechnikov Research Anti-Plague Institute of Ministry of Health of Ukraine”, Laboratory of Especially Dangerous Infections Epizootology, Odessa, Ukraine

  • Roena Sukhiasvili,

    Affiliation National Center for Disease Control and Public Health, Tbilisi, Georgia

  • Silvia Declich,

    Affiliation National Center for Global Health, Istituto Superiore di Sanità, Rome, Italy

  • Taher Shaibi,

    Affiliation Reference Laboratory of Parasites & Vector Borne Diseases, NCDC Libya, and Zoology Department, Faculty of Science, University of Tripoli, Libya

  • Tatiana Sulesco,

    Affiliation Institute of Zoology, Ministry of Education, Culture and Research, Chisinau, Moldova

  • Zoubir Harrat,

    Affiliation Laboratoire éco-épidémiologie Parasitaire et Génétique des Populations, Institut Pasteur d’Algérie, Algiers, Algeria

  •  [ ... ],
  • Vincent Robert

    Affiliation French National Research Institute for Sustainable Development, Research unit MIVEGC IRD-CNRS-Montpellier University, Montpellier, France

  • [ view all ]
  • [ view less ]

Abstract

Background

The Mediterranean Basin is historically a hotspot for trade, transport, and migration. As a result, countries surrounding the Mediterranean Sea share common public health threats. Among them are vector-borne diseases, and in particular, mosquito-borne viral diseases are prime candidates as (re)emerging diseases and are likely to spread across the area. Improving preparedness and response capacities to these threats at the regional level is therefore a major issue.

The implementation of entomological surveillance is, in particular, of utmost importance. Guidance in designing entomological surveillance systems is critical, and these systems may pursue different specific objectives depending on the disease.

The purpose of the proposed review is to draw up guidelines for designing effective and sustainable entomological surveillance systems in order to improve preparedness and response. However, we make it clear that there is no universal surveillance system, so the thinking behind harmonisation is to define evidence-based standards in order to promote best practises, identify the most appropriate surveillance activities, and optimise the use of resources.

Such guidance is aimed at policymakers and diverse stakeholders and is intended to be used as a framework for the implementation of entomological surveillance programmes. It will also be useful to collaborate and share information with health professionals involved in other areas of disease surveillance. Medical entomologists and vector control professionals will be able to refer to this report to advocate for tailored entomological surveillance strategies.

The main threats targeted in this review are the vectors of dengue virus, chikungunya virus, Zika virus, West Nile virus, and Rift Valley fever virus. The vectors of all these arboviruses are mosquitoes.

Methods

Current knowledge on vector surveillance in the Mediterranean area is reviewed. The analysis was carried out by a collaboration of the medical entomology experts in the region, all of whom belong to the MediLabSecure network, which is currently funded by the European Union and represents an international effort encompassing 19 countries in the Mediterranean and Black Sea region.

Findings

Robust surveillance systems are required to address the globalisation of emerging arboviruses. The prevention and management of mosquito-borne viral diseases must be addressed in the prism of a One Health strategy that includes entomological surveillance as an integral part of the policy. Entomological surveillance systems should be designed according to the entomological and epidemiological context and must have well-defined objectives in order to effect a tailored and graduated response. We therefore rely on different scenarios according to different entomological and epidemiological contexts and set out detailed objectives of surveillance. The development of multidisciplinary networks involving both academics and public authorities will provide resources to address these health challenges by promoting good practises in surveillance (identification of surveillance aims, design of surveillance systems, data collection, dissemination of surveillance results, evaluation of surveillance activities) and through the sharing of effective knowledge and information. These networks will also contribute to capacity building and stronger collaborations between sectors at both the local and regional levels. Finally, concrete guidance is offered on the vector of the main arbovirus based on the current situation in the area.

Introduction

The incidence and geographical distribution of arboviruses, particularly those transmitted by mosquitoes, are on the rise [1]. Different factors concur with this upsurge, including growing trends in global travel, trade, urbanisation and tourism, climate change, and land use changes and management [1,2]. In other words, the impact of arboviruses on public health is worsening, and there is no reason to expect any spontaneous improvement in the short term [1,3].

MediLabSecure is a European project aimed at improving the surveillance and monitoring of mosquito-borne viral diseases [4]. Within this framework, we offer guidance for harmonising entomological surveillance around the Mediterranean area by establishing common, evidence-based standards to promote best practises and identify the most appropriate surveillance activities while optimising financial and human resources. This approach is consistent with the One Health concept, defined by the One Health Initiative (http://www.onehealthinitiative.com) as ‘a worldwide strategy for expanding interdisciplinary collaborations and communications in all aspects of healthcare for humans, animals and the environment’. The surveillance of vector-borne diseases (VBDs) needs, therefore, to integrate the various components that determine the occurrence of these diseases into a system that can exploit relevant sources of data to deal with these risks. Ideally, the system will compile data from human surveillance (human cases), veterinary surveillance (animal hosts), entomological surveillance (arthropod vectors), and environmental surveillance (environmental risk factors) [5].

It is intended that the guidance be used by policymakers and diverse stakeholders as a framework when establishing and implementing entomological surveillance programmes. It might also be usefully shared with health professionals involved in other areas of disease surveillance, thus providing a common framework and raising awareness of the possibilities and limitations of entomological surveillance. Medical entomologists and vector control professionals will be able to refer to this review to advocate for tailored entomological surveillance strategies.

The main arboviruses covered by in this review are dengue virus (DENV), chikungunya virus (CHIKV), Zika virus (ZIKV), West Nile virus (WNV), and Rift Valley fever virus (RVFV). Whereas the first three are transmitted by recently established populations of invasive mosquitoes (Aedes aegypti and Ae. albopictus), WNV and RVFV are transmitted by native mosquito species.

We review here current knowledge generated by entomological surveillance of the main vectors of mosquito-borne arboviruses in the Mediterranean area and put forward proposals for harmonising the most appropriate surveillance activities for identified priorities.

Methodology

Literature-based knowledge, including grey literature from international bodies (European Centre for Disease Prevention and Control [ECDC], European Food Safety Authority [EFSA], World Health Organization [WHO]), on specific viruses (i.e., WNV, RVFV, DENV, CHIKV, and ZIKV) and invasive vectors was reviewed, with a focus on the Mediterranean area. In addition, experts from the 20 medical entomology laboratories of the MediLabSecure network were solicited. Nineteen laboratories responded and reviewed the national grey literature in their respective country (Fig 1 and S1 Table).

thumbnail
Fig 1. Map of the member countries of MediLabSecure and locations of the laboratories constituting the medical entomology network.

The figure was originally published by Jourdain and colleagues [6]. Administrative boundaries: IRD, Cartographic service. IRD, French National Research Institute for Sustainable Development.

https://doi.org/10.1371/journal.pntd.0007314.g001

Identified priorities for mosquito surveillance in the Mediterranean area

In the last 2 centuries, different mosquito-borne viruses have been reported in the Mediterranean Basin and the Black Sea area [4,710]. Global information on main vectors of arboviruses is presented in Table 1. For a precise understanding of the distribution of each species, the reader can refer to a recent publication focusing on Culicidae distribution in the Euro-Mediterranean area [11].

thumbnail
Table 1. Literature-based inventory of known and suspected arbovirus vectors in the Mediterranean area [4,711].

https://doi.org/10.1371/journal.pntd.0007314.t001

The main invasive species in Europe have been identified in a previous review [12] and are relevant for the whole Mediterranean area [13]. Ae. aegypti and Ae. albopictus are considered the main invasive vectors because of their ability to transmit a wide variety of arboviruses, and they are subject to intensive surveillance efforts in the area. Distribution maps are updated several times a year by the European network of medical and veterinary entomologists (VectorNet), supported by ECDC and EFSA [14].

In accordance with the literature cited previously [1,3,4,7,914], reinforced by the opinion of our present group of authors, there is a consensus to address three priority entomological surveillance issues for the countries of the Mediterranean region: (1) invasive species as vectors of DENV, CHIKV, and ZIKV; (2) vectors of WNV; and (3) vectors of RVFV.

General proposals for harmonising entomological surveillance

Entomological surveillance focusses specifically on collecting data on arthropods as vectors of human diseases and is subject to general principles of public health surveillance [15]. WHO defines it as a three-step process: (1) continuous, systematic collection of data; (2) analysis and interpretation of these data; and (3) dissemination of results to guide the planning, implementation, and evaluation of public health practises. As with every health system, entomological surveillance should be an adaptive process based on surveillance results and on evaluation of the system and potential changes in the entomological and epidemiological situation (Fig 2). Entomological surveillance activities (summarised in Box 1) have numerous, context-dependent objectives.

thumbnail
Fig 2. Process for implementing and updating entomological surveillance systems.

https://doi.org/10.1371/journal.pntd.0007314.g002

Box 1. List of the main objectives of entomological surveillance of mosquito-borne viral diseases

The different objectives of entomological surveillance

Entomological surveillance is defined and implemented to meet specific objectives; the main ones are as follows:

  1. Risk assessment: Prioritisation of public health threats
    The purpose of risk assessment is to qualitatively or quantitatively determine the likelihood and impact of an identified threat (or hazard) to the environment, individuals, or populations. With infectious diseases, risk assessment is a step-by-step process that unfolds as follows: (1) identification of the hazard(s) posed by pathogens; (2) assessing the probability of pathogen introduction into a specific area by any possible route; (3) assessing the probability of transmission within the at-risk zone (assuming the presence of competent vectors, susceptible vertebrate hosts, and the biotic and abiotic conditions suitable for transmission); (4) assessing the probability of establishment, spread, and persistence of the disease; and (5) assessing the impacts on health and the economy. Risk assessment is by nature interdisciplinary and entomology provides key inputs for evaluating VBDs. De Vos and colleagues [16] have developed an interesting framework for assessing the risk of VBDs that can be easily transferred to human health.
  2. Early warning systems
    Entomological surveillance can be used for early detection of viral circulation, before the emergence of the index case in a human and/or animal, and therefore paves the way for the preparation of response measures [17,18]. The critical features of early warning systems are sensitivity to detect outbreaks, specificity to avoid false negatives, and timely response to instigate early interventions [19]. The usefulness and relevance of mosquito-based arbovirus surveillance as a tool for developing early warning systems is situation dependent but seems particularly appropriate for endemic enzootic diseases, in which viral amplification in wild hosts and enzootic vectors precedes human cases. Surveillance should thus focus on areas known for sylvatic or synanthropic transmission cycles, which constitute hotspots for transmission, rather than cover a more extensive area [20]. Novel approaches have recently been developed, which mitigate some former limitations [21].
  3. Identification of the vector species involved in a transmission event
    Two situations call for the implementation of entomological surveillance to identify the vector species involved in a specific transmission event. The first is when several potential vectors are present and established, and the role each species plays in transmission needs to be clarified in order to adapt control strategies. For example, where both Ae. albopictus and Ae. aegypti are present in an area, the pathogen could be transmitted by one or both of them and may depend on its viral genotype [22,23]. The second is the case of viral emergence in a new territory (e.g., ZIKV in the Americas), where it is essential to identify the vector(s) involved in order to optimise the response strategy. The possibility of the virus being transmitted by unknown vectors for a particular pathogen should not be overlooked [24].
  4. Identification of the circulating pathogen strain
    In some cases, viral detection in the vectors is an effective way to identify the circulating virus or strain. This can be particularly useful for viruses that are very difficult to detect in the blood of their vertebrate hosts because of very low viremia levels (e.g., WNV). This will contribute to a better understanding of the vector–host–pathogen system, in particular virus–vector interactions (vector competence, duration of the extrinsic incubation period, etc.). Detection of WNV lineage 2 for the first time in pools of Culex pipiens in northern Italy [25] shows the contribution entomological surveillance can make here.
    This objective is important for viruses such as DENV or CHIKV, as it is generally easier to obtain these viral materials in humans.
  5. Optimising vector control in time and space
    Knowledge of the spatial and temporal dynamics of mosquito populations provides crucial information for characterising areas and seasons that may be most at risk of disease transmission [2628].
    The population dynamics of certain mosquitoes can vary considerably from region to region and year to year under pressure from different factors, including climate, land cover, agricultural practises, and water management. Urban species exhibit strong density heterogeneity across districts of the same town/city.
  6. Guidance for source reduction campaigns
    In addition to the points mentioned in the previous paragraph, characterising breeding sites will improve source reduction campaigns, whether these concern larval control undertaken by mosquito control operators or by the social mobilisation actions of communities, especially in domestic and peri-domestic breeding sites (which are most often of anthropogenic origin). In this context, a typology of aquatic sites can be constructed to focus attention on the most common and productive sites [29]. Local specificity and private and public lands must be taken into account (e.g., [30]).
    Larval control through environmental management, larviciding, biological control, and social mobilisation are key components of a proactive and sustainable vector control strategy and must be pursued where a health threat event occurs. In the case of viruses transmitted by Stegomyia, coverage of the intervention is crucial, and source reduction campaigns should rely heavily on community mobilisation [31,32]. However, examples of social mobilisation actions from the Mediterranean area and, more broadly, outside of tropical countries remain rare [33,34] and reflect the need to promote horizontal approaches and no longer rely only on top-down strategies.
  7. Insecticide resistance monitoring
    Most vector control programmes rely to a large extent on chemical insecticides, so monitoring vector susceptibility to commonly used active substances should be a key component of entomological surveillance and an integral part of these programmes [35]. Knowledge of the status, changing trends, and distribution of resistance in vectors is a basic prerequisite to guide policy and operational decisions, which involve choosing appropriate insecticides and implementing comprehensive resistance management strategies. Decision-making needs to be based on reliable vector susceptibility data, which call for standardised monitoring. Information on insecticide resistance is highly important in order to identify areas where resistance may jeopardise VBD management [36].
  8. Evaluating the efficacy of vector control
    Health authorities and local medical entomology laboratories can carry out entomological surveillance in order to evaluate the efficacy of control measures. In this case, monitoring will focus on the species and developmental stages targeted by the control actions. However, evaluations of control programmes will differ depending on whether the focus is source reduction or adult control. Source reduction is a preventive measure aimed at reducing larval populations through biological or chemical control or by eliminating mosquito breeding sites. Such actions are planned in advance so that proper evaluation measures based on larval and/or pupal indices can be put in place [37]. Adult mosquito monitoring is more challenging, as sampling results are less reproducible and actions are most often carried out in reaction to an unexpected event. It is therefore more difficult to conduct proper evaluation studies on a routine basis. In this case, monitoring will mainly be considered operational research dedicated to assessing the effectiveness of the vector control method and will require standardised, high-quality studies optimally based on entomological and epidemiological metrics [31].

General framework: Towards global, integrated surveillance

Implementation of entomological surveillance systems is impeded by several factors, such as limited investment, lack of human resources, limited entomology capacities, difficulties in standardising data collection, and concerns for the economic impact on the tourism sector [38]. These challenges may be partly addressed by implementing a global, integrated surveillance framework in the prism of the One Health strategy in order to better structure management strategies and coordination, to promote intersectoral approaches, and to stimulate the sharing of financial and human resources.

This approach requires surveillance systems in which the sectors concerned (entomology, human and animal health) interact and work together to improve public health at all levels: locally, nationally, and globally. It is essential to broaden expertise and skills to include the ecological and environmental sciences and to incorporate the different disciplines involved in implementing health policy.

This interdisciplinary approach should go beyond surveillance activities to consider the impact of control strategies on vertebrate hosts of VBDs and also the consequences for the environment and ecosystems. The development of multidisciplinary networks will provide the means to address these challenges and, more specifically, to promote integrated surveillance strategies and effective sharing of knowledge and information [5].

The involvement of numerous disciplines calls for a formal coordination framework closely monitored by a steering committee. A common framework does not imply uniformity, as there is no one-size-fits-all surveillance system. Surveillance strategies should be designed for specific entomological and epidemiological situations. Situation analysis and the proposed integrative approach can help define priorities and surveillance objectives.

The rational process for surveillance should be based on the key elements of any integrated vector management (IVM) strategy: advocacy, capacity building, collaboration within the health sector and with other sectors, and evidence-based decision-making [39].

Dente and colleagues’ [40] conceptual framework stipulates the criteria for assessing the integration of systems for the surveillance of arboviral diseases at the following levels: policy and institutional, data collection and analysis, and dissemination of results. This framework could be useful not only for evaluating surveillance systems but also to improve preparedness and response to arboviruses of concern.

The situation regarding mosquito-borne viruses has evolved over recent decades. For example, novel lineages of WNV have emerged and modified the global epidemiology of the disease, whereas RVFV has expanded geographically. Other diseases, such as dengue or chikungunya, are no longer geographically restricted to the tropics and have a strong urban component as a result of urbanisation, global trade, and travel. Viruses such as DENV, CHIKV, and ZIKV have spread worldwide to an unprecedented degree [1]. Other candidates for emergence have been identified, such as Mayaro and Oropouche viruses [41]. These general observations call for the reinforcement and coordination of surveillance on a global scale, enabling the exchange, integration, and use of surveillance data [38]. This means standardising the collection of data and recording and storing it in a format that is easy to access, use, and share [36,42].

Although control measures are not part of the surveillance process, both are closely linked, as epidemiological and entomological surveillance activities are the backbone of effective control campaigns. There is, therefore, a pressing need to develop response capacities, in particular vector control, in parallel with the optimisation of surveillance systems, according to the IVM framework promoted by WHO [13,39]. This type of investment is also a precondition for the sustainability of surveillance systems.

Entomological and epidemiological scenarios

Like every public health action, entomological surveillance must be tailored to the entomological and epidemiological situation (presence of efficient vector population[s], presence of susceptible host[s], and pathogen introduction or intensity of circulation) [43].

The risk of a given VBD can move from an initial entomological risk (presence of a competent vector) to a subsequent epidemiological risk (risk of transmission) when a vector is present. In order to differentiate entomological from epidemiological risk, different scenarios have been proposed depending on whether the mosquito species concerned is invasive or native [10,12,13]. Tailored and graduated actions of vector surveillance and control arise from these different scenarios (Table 2).

thumbnail
Table 2. Objectives of surveillance and possible public health actions based on entomological and epidemiological scenarios.

Adapted from [10,12].

https://doi.org/10.1371/journal.pntd.0007314.t002

Basic knowledge of the entomological fauna

Basic knowledge of the mosquito fauna and its spatial and temporal heterogeneity is required to assess risk and to implement targeted surveillance or vector control actions that are tailored and proportionate to the risks.

First, an inventory of the species present in the area in question is needed to identify the species that are known to be putative vectors. A distinction should be made between potential and proven vectors [63]. Using captures in different areas and during different periods of transmission, it is possible to draw up a specific inventory of the species in at-risk areas in terms of presence/absence as well as abundance in function of time and/or spatial units. In addition to this inventory of native and established species, the invasive species most likely to be introduced should be identified.

Once the main vector candidates are identified, the next step is to obtain reliable information on the various entomological population variables impacting virus transmission. Some of these data can be retrieved from the literature, but in most cases, risk estimation is much more precise when based on studies of local vector populations. The most important variables to be considered are blood-feeding behaviour, longevity, extrinsic incubation period for relevant pathogens, abundance, dispersal, etc. [50]. Knowledge of the seasonal dynamics and spatial distribution of vectors is useful for risk assessment and targeted risk management activities over time and space.

As most vector control programmes rely to a large extent on chemical insecticides, the monitoring of vector susceptibility to commonly used active substances should be a key component of entomological surveillance and an integral part of these programmes [35]. Knowledge of the status, changing trends, and distribution of insecticide resistance in vectors is a basic prerequisite to guiding policy and operational decisions, as it underlies the choice of appropriate insecticides and implementation of comprehensive resistance management strategies [36].

Following these considerations, which are generally applied, specific surveillance activities will be implemented according to the pursued objectives (Box 1) and the targeted vectors. The general framework is subsequently declined for three major issues in the region—i.e., invasive species as vectors of DENV, CHIKV, and ZIKV; vectors of WNV; and vectors of RVFV.

Dengue, chikungunya, and Zika: Surveillance of invasive species

Context

DENV, CHIKV, and ZIKV are transmitted mainly in urban settings by mosquitoes of the Stegomyia subgenus. The most efficient vectors are Ae. aegypti and, to a lesser extent, Ae. albopictus. Ae. cretinus is the only other Stegomyia present in the Mediterranean region [64], but as little information is available on its capacity to transmit viruses, this species will not be considered in this review. Another Aedes-borne virus, yellow fever virus (YFV), has also reemerged in Africa and South America over the last 4 decades. If YFV is introduced, Ae. aegypti and Ae. albopictus may be able to maintain an autochthonous transmission cycle, so surveillance of these invasive mosquito species will help improve preparedness and response to these different agents of virus transmission.

The design of the surveillance system will depend on the level of colonisation by one or several invasive species within the country and in neighbouring countries, as well as on the objectives of the surveillance (see Table 2 and Box 1).

Surveillance of the introduction and establishment of Ae. albopictus and Ae. aegypti

The main objective of entomological surveillance in this context is to detect the introduction of invasive species, so the main focus will be the potential routes of introduction and dispersal. In the specific case of invasive Aedes species, there are two main modes of dispersal. On an intercontinental scale, dispersion mainly occurs at the egg stage and is associated with the international trade in specific goods likely to introduce a sufficient number of individuals that might survive and subsequently reproduce, mainly used tyres and, to a lesser extent, lucky bamboo [12]. On an intracontinental scale, the species gradually spreads along major communication routes in association with traffic, especially when the mosquitoes have a natural ability to enter vehicles, which is common for Ae. albopictus [65].

Ae. aegypti may have different introduction pathways, as the species was broadly spread over the Mediterranean Basin until the 1950s [64]. Recent genetic evidence suggests that remnant populations persist around the Black Sea region [66], with a recent spread into northeastern Turkey [67].

Given the key routes of invasion, a typology of high-risk sites for invasive species introduction can be drawn up based on presence–absence models or by modelling environmental and demographic variables. These sites, which include points of entry (ports, airports, and ground crossings), parking areas and resting places along main communication axes, rail freight interchanges, railway nodes, used tyre storage sites, greenhouses containing imported exotic plants, and green urban spaces, should be selected for targeted surveillance.

Trapping locations can be prioritised on the basis of data on traffic, the volume of imported goods, and the vicinity of the colonised area [12,45]. Ovitraps are the main tool used for the surveillance of invasive mosquito introduction. ECDC guidelines [12] contain useful technical information about trapping procedures and modalities (type, frequency, density, period of trapping). Ovitraps are less sensitive at certain locations, such as used tyre storage sites or greenhouses, because their large numbers of available oviposition sites compete with the traps. Entomological surveys should preferably be carried out on a regular basis (2 to 4 per year) at these locations.

Modelling using mainly abiotic (climate, photoperiod) and landscape (urbanisation) variables can help identify the most suitable areas for invasive species establishment. Different methods have been used to conduct this type of risk assessment for Ae. albopictus and Ae. aegypti (e.g., [6870]).

Ae. albopictus is likely to be introduced and become established in urbanised areas owing to its affinity with the human environment. A plethora of artificial breeding sites compete with ovitraps in this type of environment, so sensitivity is again an issue. Early detection of introduction in at-risk areas, such as urban or peri-urban locations, is therefore a challenge. Passive surveillance, in which the general public are involved in detecting and reporting invasive species, is a particularly promising and economically advantageous way to address the problem of ‘random’ introduction in urbanised areas or at a considerable distance from the colonised area [71,72]. In most cases, identification of Stegomyia is feasible from a mere photo, whereas the main challenges relate to the organisation and formalisation of a reporting system and to making it widely known and accessible, especially to other countries. For example, a unique platform (web portal) could return reports to the competent regional authority and would also enable the development of a regional dynamic through cooperation and data sharing, a crucial aspect of the process of surveillance of invasive species.

Surveillance in areas with locally established populations of Ae. albopictus or Ae. aegypti

Once an invasive species is established, entomological surveillance can assume different objectives.

Monitoring the spread.

Precise knowledge of the vector distribution is needed to support the implementation of epidemiological surveillance and the decision to trigger vector control programmes. The aim of monitoring species distribution in areas with locally established populations is to rationalise vector control around imported arboviral cases, brought in mostly by viremic travellers coming back from endemic or epidemic countries. Surveillance should, therefore, be concentrated in the most densely populated areas and in major tourist locations, where imported cases are most likely to occur.

The system for monitoring spread will be similar to that for the surveillance of introduction. It will mainly consist in deploying a network of ovitraps according to the previously mentioned criteria in proximity to the colonised area.

The use of passive surveillance will be crucial in this context, given the previously highlighted difficulties.

There is usually a latitudinal and altitudinal limit above which a species is unable to establish a population. For example, an average January temperature of 0 °C is usually considered the survival threshold for Ae. albopictus diapausing eggs [73], although this figure should be treated with caution in urban areas, as they contain many microclimates with higher temperatures. For example, the species was present in Trento, Italy, despite minimum temperatures as low as −10 °C and an average January temperature of −5 °C being recorded [74]. One way of estimating altitudinal limits is by monitoring the establishment of species along altitudinal transects.

Estimating vector density.

Estimating vector density is a major element in providing guidance for vector control, but it is difficult to do on a routine basis. Sampling immature stages (larval indices, such as Breteau, container and house, or pupae-per-person and pupae-per-hectare indices) is still widely used to estimate vector density [75]. These container-based indices exhibit weak correlations with the density of biting mosquitoes per human and are poor indicators of the risk of arbovirus transmission [76]. The value of ovitraps for this purpose is under discussion and undoubtedly depends on the context, especially where there are numerous competing breeding sites, given the skip-oviposition behaviour of Stegomyia [77].

For these reasons, adult sampling remains the method of choice to estimate adult density. Of the various traps available, the BG-Sentinel trap with lures (BG trap; Biogents, Regensburg, Germany) is currently the gold standard for monitoring adult populations of Aedes spp. [78,79]. However, BG traps are costly, and collection is labour intensive, making it unrealistic to deploy them on a large scale. Gravid Aedes traps (GATs) may be an alternative, but more studies are needed to confirm their effectiveness for routine surveillance purposes [80].

A pragmatic approach to estimating adult density would be to develop fine-scale models based on land cover, land use, meteorological, and sociodemographic data (review in [81]) in order to target interventions in locations with high densities of mosquito populations [51].

Seasonal dynamics.

Thorough knowledge of seasonal dynamics is useful for risk assessment and risk management purposes, and in particular, for determining the human surveillance period and identifying the months with the highest entomological risks.

The seasonal dynamic in a particular region can be assessed using a dense network of ovitraps or BG traps [12,27].

This dynamic may, however, vary according to the climate. The photoperiod and, hence, the latitude are key factors in Ae. albopictus diapause. Within a given country, it may be appropriate to record these data in all climatic regions.

Guidance for vector control actions.

Once an invasive species is established, only routine larval control strategies are feasible, as elimination is almost unattainable, at least in continental areas and with the vector control tools that are currently available [64].

Entomological surveillance will help in assessing larval source reduction strategies and social mobilisation actions. Larval surveys may also be of interest and can be implemented simultaneously. A typology of breeding sites could be drawn up from larval surveys carried out on private and public lands [30]. Larval and pupal surveys can be used to identify the most commonly encountered and most productive breeding sites, which will then become the focus of public actions and key messages mobilising the community in order to achieve the greatest impact on the adult mosquito population [75]. Larval surveys should, as far as possible, take into account the contribution of cryptic larval breeding sites [82]. This kind of investigation can then contribute to identifying local specificities concerning aquatic sites and hence to implementing targeted actions [8385].

Surveillance efforts will focus on areas and locations that present the greatest risk to public health (history of high densities, public nuisance complaints, hospitals, automotive recycling yards, tyre storage, neighbourhoods with green areas favouring shade and with the presence of containers, or significant presence of water storage).

Once established, it will be necessary to evaluate the susceptibility of the mosquito population to commonly used insecticides according to standardised guidelines [35].

Surveillance of widely established populations of Ae. albopictus or Ae. aegypti

When populations of invasive mosquitoes are widely established, most of the activities described in the previous scenario (local establishment) will continue. The main supplementary activities concern guidance and evaluation of the vector control activities implemented around imported arboviral cases [86].

The effectiveness of vector control measures can be assessed by trapping adults in the intervention area before and after these measures are carried out. Ideally, trapping should also be carried out according to a randomised design in nontreated areas presenting similar environments to the treated areas [31].

Evidence of autochthonous virus transmission

The general objectives of entomological surveillance here are substantially the same as in the previous scenario, but the modalities will have to be adapted to vector control actions, as in the event of viral circulation, these will target adult populations in addition to source reduction.

In the case of autochthonous transmission, mosquitoes can be captured for virus screening. This is particularly important when both Ae. albopictus and Ae. aegypti are present in order to identify the main vector(s) involved in the transmission event and to adapt the strategy of vector control. Because of low virus prevalence in mosquitoes, a large number of mosquitoes, promptly collected in the direct vicinity of arboviral cases, need to be screened [87]. Mosquito-based surveillance is unlikely to make a useful contribution to early warning systems for Stegomyia-borne virus introduction given the previous consideration and the random nature of the geographical distribution of imported cases. In this case, it is more efficient to rely on human surveillance.

West Nile fever

Context

WNV is one of the most widely distributed flaviviruses and the main cause of arboviral human encephalitis worldwide [88]. It is a zoonotic arbovirus maintained in nature in an enzootic cycle that involves birds, mostly passerines, and ornithophilic mosquitoes of the genus Culex (Fig 3). Birds serve as amplifying hosts of the virus and contribute to its dispersal. The disease can also affect humans and horses, but they are considered dead-end hosts, meaning that although they become infected, the level of viremia is insufficient to infect mosquitoes and hence spread the disease.

WNV lineages are genetically and geographically diverse [89], and extensive data on WNV circulation in the Mediterranean are available (e.g., [4,9093]). Historically, lineage 1 (clade 1a) was the most widespread lineage around the Mediterranean Basin. However, the disease pattern has changed over the last 2 decades with the emergence in 2004 of lineage 2 in eastern Europe (Hungary), which has since become endemic throughout eastern, central, and southern Europe. Lineage 2 strains have caused the majority of human and equine neurological cases recently reported in Europe, as well as unexpected avian mortality. Other lineages have been isolated from mosquitoes collected in the Mediterranean area (lineage 3 in the Czech Republic, lineage 4 in southern Spain and Austria), but they have not, so far, been associated with human or animal diseases [89,91,94]. Cocirculation of different lineages across Mediterranean countries provides an opportunity for genetic assortment and the emergence of new strains [95].

Risk-based approach

Many factors have been suggested to explain WNV spread. Temperature is one of the most important drivers in WNV transmission, and above-average summer temperatures have been associated with human and equine cases in Europe [96,97]. Regarding early detection, wetlands with wide avian diversity located along the major flyways of migratory birds are potential hotspots for monitoring enzootic activity [98]. Other environmental risk factors have been assessed, including the normalised difference vegetation index (NDVI), avian biodiversity, land use, and landscape composition, and these have been reviewed for the Mediterranean Basin [99]. Predictive models for the Mediterranean area [96,97,100], Morocco [101], and Tunisia [102,103] have also been built.

Surveillance

WNV surveillance requires an integrated approach that takes into account the enzootic, epizootic, and epidemic transmission cycles of the virus. However, the proportionate design of a surveillance system is country dependent and needs to consider the environmental conditions and local epidemiology of the disease [104]. Several Mediterranean countries have implemented integrated WNV surveillance systems [105,106]. The entomological component of most European surveillance systems has been reviewed by Engler and colleagues [42].

Given that human and equine cases appear to be the result of a spillover from the enzootic cycle, vector surveillance can serve as an early warning system, anticipating viral circulation several weeks before the onset of symptoms in humans, as demonstrated in Greece, Italy, and Serbia [18,107110].

Entomological surveillance can enhance the sensitivity, early detection capability, and spatial specificity of WNV surveillance systems [18] and provide support in implementing risk management measures, such as raising awareness among clinicians to improve diagnosis, educating the public in appropriate personal protection against mosquito bites, and screening blood to reduce virus transmission by transfusion [111]. Entomological surveillance together with ornithological surveillance has been assessed as a more cost-effective strategy for blood and organ safety compared with systematic screening in regions where infected humans or equids were detected in the previous year, as demonstrated in Italy [18].

A further advantage of mosquito surveillance is the possibility to identify new viral strains/lineages or other arboviruses—such as Usutu virus (USUV)—at little additional cost [18,112,113].

There are some limitations to mosquito-based WNV surveillance for early detection [105,109,114]. It is costly and labour intensive, and significant sampling and testing efforts are required, as the number of mosquito pools submitted for virus detection appears to be critical for the sensitivity of this surveillance system. Moreover, results have to be delivered quickly so that vector control actions can be promptly implemented. Because of these constraints, mosquito-based early warning surveillance has been considered of little value in countries where the virus has been circulating at a low level, such as France, Spain, and Israel [105].

To overcome these disadvantages, entomological surveillance must include evaluation of the environmental and epidemiological context. It should be (1) based on knowledge of vector population seasonal dynamics, (2) implemented/intensified when risk is increasing (greater virus circulation compared with the previous year or neighbouring countries/areas), and (3) focussed on high-risk areas identified by biotic and abiotic factors, as mentioned previously.

Entomological surveillance can, however, have other objectives. Monitoring mosquito populations advances knowledge of disease cycles [8] and significantly improves the spatiotemporal risk assessment process and preparedness [42].

Mosquitoes can be collected in areas either at risk of or of known viral circulation to improve knowledge of the species involved in transmission and identify their breeding ecology, abundances, distributions, and trophic preferences [8,115,116].

Adult stages are most often targeted, but larval sampling can usefully complement entomological monitoring [42]. Most often, sampling is carried out monthly during the period of vector activity. However, weekly to biweekly adult sampling seems to be more appropriate if the objective is a sensitive early warning system [18,108,109].

Rift Valley fever

Context

RVFV emergence may have a considerable impact on both humans and livestock. It is a complex VBD, as several vertebrate hosts can be affected, different transmission routes are possible, and there are also multiple pathways of virus introduction that are highly dependent on the local context (Fig 4). Further complexity lies in the fact that RVFV is readily transmitted through a broad range of mosquito genera and by other vectors, including sand flies and ticks [117]. Mosquito species of the Culex and Aedes genus are considered the most competent vectors. The following species are associated with RVFV transmission in the Mediterranean area: Ae. vexans, Ae. caspius, Ae. detritus, Culex pipiens, Cx. theileri, Cx. perexiguus, Cx. antennatus, Cx. tritaeniorhynchus, and Ae. albopictus [9]. The presence of Ae. aegypti in Egypt and around the Black Sea in Russia, Georgia, and Turkey [67,118] justifies its inclusion in the list.

thumbnail
Fig 4. Epidemiological cycle of Rift Valley fever virus.

The figure is adapted from [119].

https://doi.org/10.1371/journal.pntd.0007314.g004

Historically, RVFV was geographically limited to sub-Saharan eastern Africa, especially the Rift Valley of Kenya and Tanzania. In recent decades, the geographical range of the disease has expanded [3,9,120], and regular incursions of the virus have been observed along the Nile River in Egypt. Serological investigations in humans and animals indicate viral circulation apart from epidemic events [121]. Other serological studies suggest RVFV is circulating in areas of Algeria, Morocco, Tunisia, and Libya [4,122]. The probability of RVFV being introduced into Europe has been assessed as very low [123].

Livestock movements are the main factor for introducing the virus into disease-free areas. Camels crossing the border from Sudan to Egypt and the sheep trade between sub-Saharan Africa and northern Africa have been implicated [124]. The spread of the disease to Europe is, however, controlled, as there is a ban on livestock trade from the Middle East and northern Africa, although illegal importations cannot be excluded, particularly in central and southern Europe. These factors justify implementing dedicated systems of surveillance of potential RVFV vectors, acquiring knowledge of their bionomics, and carrying out vector competence studies [123].

Risk-based approach

In the interests of efficiency and efficacy, risk-based surveillance should focus on potential hotspots and periods of disease introduction and transmission [125]. The EFSA recommend developing early warning systems based on epidemic intelligence and predictive models [123]. Models based on rainfall, sea surface temperature, and NDVI have been developed, although their area of validity is restricted to East Africa. Geographically extending these models to other areas (including the Mediterranean Basin) is problematic because of differences in climate and environmental drivers and the epidemiology of the disease [124]. Areas of the Mediterranean Basin at higher risk for RVFV can be identified through analysis of animal trade data and the distributions of competent vectors and susceptible hosts.

Distribution models of RVFV vectors around the Mediterranean Basin have been developed [9], and risk maps for identifying suitable areas for Rift Valley fever emergence are also available for the Maghreb region [126], Egypt [127], Spain [128], and Italy [129]. Potential hotspots have been identified in northern Africa, from Morocco to Libya [126], and include farming areas and desert oases, especially those located close to water bodies and animal facilities. In Egypt, the risk of virus introduction stems from camel importation from Sudan, whereas the risk of transmission is heightened in animal markets and slaughterhouses, most commonly located in crowded areas [127].

Surveillance

RVFV is a perfect example of an arbovirus requiring an integrated approach consistent with the One Health framework to make best use of scientific capacities and resources [130].

Emphasis should be placed on animal and human surveillance, including passive surveillance of animal abortions, sentinel herds around the Mediterranean Basin, and during high-risk periods, as well as human laboratory-based surveillance [123,126]. In addition, entomological surveillance efforts should be focussed on the areas at highest risk of virus introduction and transmission. In spatial terms, entomological surveillance should preferably be carried out in the vicinity of the previously mentioned areas at higher risk of RVFV transmission (quarantines, slaughterhouses, and animal markets). The illegal movement of animals calls for surveillance to be strengthened in animal facilities along borders with endemic countries. In terms of time, entomological surveillance should be reinforced in specific countries in three cases: (1) during viral circulation in neighbouring countries, (2) during the weeks preceding the Islamic festival Eid al-Adha, when there is increase in animal trade, and (3) during periods of heavy rains (especially in natural biotopes).

Targeted entomological surveillance will guide vector control actions, such as source reduction and larviciding, and will raise the awareness of residents and professionals in the livestock sector in at-risk areas.

Regarding entomological scientific issues, the seasonal dynamics of the main vectors should be assessed in different areas vulnerable to virus introduction and transmission. Additional studies can easily be devoted to determining vector competences and host preferences of the different potential vectors [9].

Given the borderless nature of RVFV risk, risk management strategies will need to be pan-regional and based on cooperation through the exchange of information and the pooling of resources [123,124,126].

Surveillance of points of entry according to International Health Regulations

The International Health Regulations (IHRs) were revised in 2005 and explicitly call for vector surveillance and control. In 2016, WHO published a handbook providing guidance in implementing vector surveillance and control within this framework [131]. With specific regard to the definition of entomological surveillance, particular emphasis is given to establishing global baseline conditions for points of entry (their natural and urban environments and their surroundings, the local entomological situation and epidemiological context) for implementing targeted and proportionate surveillance.

Conclusion

Over recent decades, mosquito-borne viruses, including CHIKV, DENV, RVFV, WNV, YFV, and ZIKV, have emerged or reappeared, posing a threat to global health. Efficient surveillance systems are, therefore, of the utmost importance. In light of the various issues discussed previously, surveillance systems must be defined according to the pathogen being targeted and adapted to the epidemiological and entomological contexts and existing resources. Surveillance systems should be strengthened in accordance with the One Health framework so that the different components involved in the introduction and spread of VBDs (vector–pathogen–hosts) can be addressed globally. The definition of any surveillance system should be based on assessment of the national and local situation in order to identify priority areas for multisectoral efforts (e.g., entomology, virology, and human and veterinary public health). A comprehensive capacity-building strategy to confront VBDs must focus on the main competences needed to deal with this risk, but there must also be awareness of and a capacity to develop tools to foster collaboration. Integrated public health policies call for the interoperability of surveillance systems for the purposes of sharing information and carrying out joint data analysis.

International One Health networks, such as MediLabSecure, are important tools for reinforcing preparedness and response to global health threats, as they (1) contribute to the sharing and dissemination of good practises and experiences among countries; (2) foster collaboration between different sectors, thereby overcoming disciplinary barriers; (3) provide specialised training to improve the capacities of the sectors involved; and (4) are able act as a force to influence public health priorities at both global and local levels by instigating interdisciplinary activities that extend traditional fields of competence.

Key learning points

  • The prevention and management of mosquito-borne viral diseases must be addressed in the prism of the One Health strategy, which holds entomological surveillance to be an integral part of policy.
  • Any surveillance system should be defined on the basis of assessments of national and local situations to identify priority areas for multisectoral efforts.
  • Entomological surveillance systems should be designed according to the entomological and epidemiological context and well-defined objectives in order to develop a tailored, graduated response.
  • Robust surveillance systems are needed to address the globalisation of emerging arboviruses. This calls for increased capacities and stronger collaborations between sectors at both the local and regional levels.
  • The development of multidisciplinary networks, involving both academics and public authorities, provides a means to address these health challenges by promoting good practises in surveillance (design of surveillance systems, data collection, etc.) and the sharing of knowledge and information.

Top five papers

  1. Chevalier V, Lecollinet S, Durand B. West Nile virus in Europe: a comparison of surveillance system designs in a changing epidemiological context. Vector Borne Zoonotic Dis. 2011 Aug;11(8):1085–91. 10.1089/vbz.2010.0234. Epub 2011 May 6.
  2. Dente MG, Riccardo F, Nacca G, Ranghiasci A, Escadafal C, Gaayeb L, Jiménez-Clavero MA, Manuguerra JC, Picard M, Fernández-Pinero J, Pérez-Ramírez E, Robert V, Victoir K, Declich S. Strengthening Preparedness for Arbovirus Infections in Mediterranean and Black Sea Countries: A Conceptual Framework to Assess Integrated Surveillance in the Context of the One Health Strategy. Int J Environ Res Public Health. 2018 Mar 10;15(3):E489. 10.3390/ijerph15030489.
  3. Gossner CM, Marrama L, Carson M, Allerberger F, Calistri P, Dilaveris D, Lecollinet S, Morgan D, Nowotny N, Paty MC, Pervanidou D, Rizzo C, Roberts H, Schmoll F, Van Bortel W, Gervelmeyer A. West Nile virus surveillance in Europe: moving towards an integrated animal-human-vector approach. Euro Surveill. 2017 May 4;22(18): 30526. 10.2807/1560-7917.ES.2017.22.18.30526.
  4. Schaffner F, Mathis A. Dengue and dengue vectors in the WHO European region: past, present, and scenarios for the future. Lancet Infect Dis. 2014 Dec;14(12):1271–80. 10.1016/S1473-3099(14):70834–5. Epub 2014 Aug 26.
  5. Stärk KD, Regula G, Hernandez J, Knopf L, Fuchs K, Morris RS, Davies P. Concepts for risk-based surveillance in the field of veterinary medicine and veterinary public health: review of current approaches. BMC Health Serv Res. 2006 Feb 28;6:20.

Supporting information

S1 Table. The 19 member laboratories of the medical and veterinary entomology MediLabSecure network who took part in the online survey.

https://doi.org/10.1371/journal.pntd.0007314.s001

(XLSX)

Acknowledgments

We would like to thank Katia Grucker (IRD) for her assistance in preparing the illustrations.

References

  1. 1. Mayer SV, Tesh RB, Vasilakis N. The emergence of arthropod-borne viral diseases: A global prospective on dengue, chikungunya and zika fevers. Acta Trop. 2017;166: 155–163. pmid:27876643
  2. 2. Musso D, Rodriguez-Morales AJ, Levi JE, Cao-Lormeau V-M, Gubler DJ. Unexpected outbreaks of arbovirus infections: lessons learned from the Pacific and tropical America. Lancet Infect Dis. 2018.
  3. 3. Weaver SC, Reisen WK. Present and future arboviral threats. Antiviral Res. 2010;85: 328–345. pmid:19857523
  4. 4. Failloux AB, Bouattour A, Faraj C, Gunay F, Haddad N, Harrat Z, et al. Surveillance of Arthropod-Borne Viruses and Their Vectors in the Mediterranean and Black Sea Regions Within the MediLabSecure Network. Current Tropical Medicine Reports. 2017. pmid:28386524
  5. 5. Dente M, Riccardo F, Nacca G, Ranghiasci A, Manuguerra J, Escadafal C, et al. Strengthening integrated surveillance for arboviruses in the Mediterranean and Black Sea regions in the framework of the One Health approach. Quad Della Soc Ital Di Med Trop E Salut Glob. 2016;1: 41–48.
  6. 6. Jourdain F, Picard M, Sulesco T, Haddad N, Harrat Z, Sawalha SS, et al. Identification of mosquitoes (Diptera: Culicidae): an external quality assessment of medical entomology laboratories in the MediLabSecure Network. Parasit Vectors. 2018;11: 553. pmid:30352609
  7. 7. Hubálek Z. Mosquito-borne viruses in Europe. Parasitol Res. 2008;103: 29–43. pmid:18301923
  8. 8. Muñoz J, Ruiz S, Soriguer R, Alcaide M, Viana DS, Roiz D, et al. Feeding patterns of potential West Nile virus vectors in south-west Spain. Schneider BS, editor. PLoS ONE. 2012;7: e39549. pmid:22745781
  9. 9. European Food Safety Authority (EFSA). Opinion of the scientific panel on animal health and welfare (AHAW) on a request from the Commission related to “Rift Valley fever.” EFSA J. 2013;11: 3180.
  10. 10. European Centre for Disease Prevention and Control (ECDC). Guidelines for the surveillance of native mosquitoes in Europe. Stockholm: ECDC; 2014.
  11. 11. Robert V, Günay F, Le Goff G, Boussès P, Sulesco T, Khalin A, et al. Distribution chart for Euro-Mediterranean mosquitoes (western Palaearctic region). J Eur Mosq Control Assoc. 2019;37: 1–28.
  12. 12. European Centre for Disease Prevention and Control (ECDC). Guidelines for the surveillance of invasive mosquitoes in Europe. Stockholm: ECDC; 2012.
  13. 13. Takken W, van den Berg H. Manual on prevention of establishment and control of mosquitoes of public health importance in the WHO European Region. Copenhagen: World Health Organization; 2019.
  14. 14. European Centre for Disease Prevention and Control (ECDC), European Food Safety Authority (EFSA) [Internet]. Stockholm: ECDC; c2018 [cited 2018 Mar 3]. Mosqito maps. https://ecdc.europa.eu/en/disease-vectors/surveillance-and-disease-data/mosquito-maps.
  15. 15. Nsubuga P, White ME, Thacker SB, Anderson MA, Blount SB, Broome C V., et al. Public Health Surveillance: A Tool for Targeting and Monitoring Interventions. In: Jamison DT, Breman JG, Measham AR, Alleyne G, Claeson M, Evans DB, et al., editors. Disease Control Priorities in Developing Countries. 2nd ed. Washington (DC): The International Bank for Reconstruction and Development; 2006. p. 997–1015.
  16. 16. De Vos C, Hoek M, Fischer E, De Koeijer A, Bremmer J. Risk assessment framework for emerging vector-borne livestock diseases. Lelystad, the Netherlands: Central Veterinary Institute, part of Wageningen UR; 2012. Report 11-CVI0168.
  17. 17. van den Hurk AF, Hall-Mendelin S, Johansen CA, Warrilow D, Ritchie SA. Evolution of mosquito-based arbovirus surveillance systems in Australia. J Biomed Biotechnol. 2012;2012: 325659. pmid:22505808
  18. 18. Bellini R, Calzolari M, Mattivi A, Tamba M, Angelini P, Bonilauri P, et al. The experience of West Nile virus integrated surveillance system in the Emilia-Romagna region: five years of implementation, Italy, 2009 to 2013. Eurosurveillance. 2014;19: 20953.
  19. 19. Runge-Ranzinger S, McCall PJ, Kroeger A, Horstick O. Dengue disease surveillance: an updated systematic literature review. Trop Med Int Heal. 2014;19: 1116–1160. pmid:24889501
  20. 20. Gu W, Unnasch TR, Katholi CR, Lampman R, Novak RJ. Fundamental issues in mosquito surveillance for arboviral transmission. Trans R Soc Trop Med Hyg. 2008;102: 817–22. pmid:18466940
  21. 21. Ramírez AL, van den Hurk AF, Meyer DB, Ritchie SA. Searching for the proverbial needle in a haystack: advances in mosquito-borne arbovirus surveillance. Parasit Vectors. 2018;11: 320. pmid:29843778
  22. 22. Sivan A, Shriram AN, Sugunan AP, Anwesh M, Muruganandam N, Kartik C, et al. Natural transmission of dengue virus serotype 3 by Aedes albopictus (Skuse) during an outbreak in Havelock Island: Entomological characteristics. Acta Trop. 2016;156: 122–9. pmid:26780552
  23. 23. Tsetsarkin KA, Chen R, Yun R, Rossi SL, Plante KS, Guerbois M, et al. Multi-peaked adaptive landscape for chikungunya virus evolution predicts continued fitness optimization in Aedes albopictus mosquitoes. Nat Commun. 2014;5: 4084. pmid:24933611
  24. 24. Ayres CFJ. Identification of Zika virus vectors and implications for control. Lancet Infect Dis. 2016;16: 278–279. pmid:26852727
  25. 25. Savini G, Capelli G, Monaco F, Polci A, Russo F, Di Gennaro A, et al. Evidence of West Nile virus lineage 2 circulation in Northern Italy. Vet Microbiol. 2012;158: 267–73. pmid:22406344
  26. 26. Diallo D, Sall AA, Diagne CT, Faye O, Faye O, Ba Y, et al. Zika virus emergence in mosquitoes in Southeastern Senegal, 2011. Attoui H, editor. PLoS ONE. 2014;9: e109442. pmid:25310102
  27. 27. Lacour G, Chanaud L, L’Ambert G, Hance T. Seasonal Synchronization of Diapause Phases in Aedes albopictus (Diptera: Culicidae). Benoit JB, editor. PLoS ONE. 2015;10: e0145311. pmid:26683460
  28. 28. Samy AM, Elaagip AH, Kenawy MA, Ayres CFJ, Peterson AT, Soliman DE. Climate Change Influences on the Global Potential Distribution of the Mosquito Culex quinquefasciatus, Vector of West Nile Virus and Lymphatic Filariasis. LaDeau SL, editor. PLoS ONE. 2016;11: e0163863. pmid:27695107
  29. 29. Manrique-Saide P, Che-Mendoza A, Rizzo N, Arana B, Pilger D, Lenhart A, et al. Operational guide for assessing the productivity of Aedes aegypti breeding sites. Geneva: World Health Organization; 2011.
  30. 30. Carrieri M, Angelini P, Venturelli C, Maccagnani B, Bellini R. Aedes albopictus (Diptera: Culicidae) population size survey in the 2007 Chikungunya outbreak area in Italy. I. Characterization of breeding sites and evaluation of sampling methodologies. J Med Entomol. 2011 [cited 2018 Mar 3];48: 1214–1225. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22238882. pmid:22238882
  31. 31. Bowman LR, Donegan S, McCall PJ. Is Dengue Vector Control Deficient in Effectiveness or Evidence?: Systematic Review and Meta-analysis. PLoS Negl Trop Dis. 2016;10: e0004551. pmid:26986468
  32. 32. Andersson N, Nava-Aguilera E, Arosteguí J, Morales-Perez A, Suazo-Laguna H, Legorreta-Soberanis J, et al. Evidence based community mobilization for dengue prevention in Nicaragua and Mexico (Camino Verde, the Green Way): cluster randomized controlled trial. BMJ. 2015;351: h3267. pmid:26156323
  33. 33. Abramides GC, Roiz D, Guitart R, Quintana S, Guerrero I, Giménez N. Effectiveness of a multiple intervention strategy for the control of the tiger mosquito (Aedes albopictus) in Spain. Trans R Soc Trop Med Hyg. 2011;105: 281–288. pmid:21466887
  34. 34. Healy K, Hamilton G, Crepeau T, Healy S, Unlu I, Farajollahi A, et al. Integrating the public in mosquito management: Active education by community peers can lead to significant reduction in peridomestic container mosquito habitats. PLoS ONE. 2014;9. pmid:25255027
  35. 35. WHO. Monitoring and managing insecticide resistance in Aedes mosquito populations. Interim guidance for entomologists. Geneva: World Health Organization; 2016.
  36. 36. Corbel V, Achee NL, Chandre F, Coulibaly MB, Dusfour I, Fonseca DM, et al. Tracking Insecticide Resistance in Mosquito Vectors of Arboviruses: The Worldwide Insecticide resistance Network (WIN). PLoS Negl Trop Dis. 2016;10. pmid:27906961
  37. 37. Alvarado-Castro V, Paredes-Solís S, Nava-Aguilera E, Morales-Pérez A, Alarcón-Morales L, Balderas-Vargas NA, et al. Assessing the effects of interventions for Aedes aegypti control: systematic review and meta-analysis of cluster randomised controlled trials. BMC Public Health. 2017;17: 384. pmid:28699552
  38. 38. Fernandes JN, Moise IK, Maranto GL, Beier JC. Revamping Mosquito-borne Disease Control to Tackle Future Threats. Trends Parasitol. 2018;34: 359–368. pmid:29500034
  39. 39. WHO [Internet]. Handbook for Integrated Vector Management. Geneva: World Health Organization; 2012 [cited 2018 Mar 3]. http://apps.who.int/iris/bitstream/10665/44768/1/9789241502801_eng.pdf.
  40. 40. Dente MG, Riccardo F, Nacca G, Ranghiasci A, Escadafal C, Gaayeb L, et al. Strengthening Preparedness for Arbovirus Infections in Mediterranean and Black Sea Countries: A Conceptual Framework to Assess Integrated Surveillance in the Context of the One Health Strategy. Int J Environ Res Public Health. 2018;15. pmid:29534445
  41. 41. Rodríguez-Morales AJ, Paniz-Mondolfi AE, Villamil-Gómez WE, Navarro JC. Mayaro, Oropouche and Venezuelan Equine Encephalitis viruses: Following in the footsteps of Zika? Travel Med Infect Dis. 2017;15: 72–73. pmid:27826073
  42. 42. Engler O, Savini G, Papa A, Figuerola J, Groschup M, Kampen H, et al. European Surveillance for West Nile Virus in Mosquito Populations. Int J Environ Res Public Health. 2013;10: 4869–4895. pmid:24157510
  43. 43. Roiz D, Wilson AL, Scott TW, Fonseca DM, Jourdain F, Müller P, et al. Integrated Aedes management for the control of Aedes-borne diseases. Horstick O, editor. PLoS Negl Trop Dis. 2018;12: e0006845. pmid:30521524
  44. 44. Scholte EJ, Den Hartog W, Braks M, Reusken C, Dik M, Hessels A. First report of a North American invasive mosquito species Ochlerotatus atropalpus (Coquillett) in the Netherlands, 2009. Euro Surveill. 2009 [cited 2018 Mar 3];14. Available from: https://www.eurosurveillance.org/content/10.2807/ese.14.45.19400-en.
  45. 45. Flacio E, Engeler L, Tonolla M, Lüthy P, Patocchi N. Strategies of a thirteen year surveillance programme on Aedes albopictus (Stegomyia albopicta) in southern Switzerland. Parasites and Vectors. 2015;8: 208. pmid:25890173
  46. 46. Flacio E, Engeler L, Tonolla M, Müller P. Spread and establishment of Aedes albopictus in southern Switzerland between 2003 and 2014: An analysis of oviposition data and weather conditions. Parasites and Vectors. 2016;9. pmid:27229686
  47. 47. Tisseuil C, Velo E, Bino S, Kadriaj P, Mersini K, Shukullari A, et al. Forecasting the spatial and seasonal dynamic of Aedes albopictus oviposition activity in Albania and Balkan countries. Kittayapong P, editor. PLoS Negl Trop Dis; 2018;12: e0006236. pmid:29432489
  48. 48. Roche B, Léger L, L’Ambert G, Lacour G, Foussadier R, Besnard G, et al. The spread of Aedes albopictus in Metropolitan France: Contribution of environmental drivers and human activities and predictions for a near future. PLoS ONE. 2015;10. pmid:25962160
  49. 49. Collantes F, Delacour S, Alarcón-Elbal PM, Ruiz-Arrondo I, Delgado JA, Torrell-Sorio A, et al. Review of ten-years presence of Aedes albopictus in Spain 2004–2014: known distribution and public health concerns. Parasites and Vectors. 2015;8. pmid:26694818
  50. 50. Petrić D, Bellini R, Scholte E-J, Rakotoarivony LM, Schaffner F. Monitoring population and environmental parameters of invasive mosquito species in Europe. Parasit Vectors. 2014;7: 187. pmid:24739334
  51. 51. Manica M, Filipponi F, D’Alessandro A, Screti A, Neteler M, Rosà R, et al. Spatial and Temporal Hot Spots of Aedes albopictus Abundance inside and outside a South European Metropolitan Area. McCall PJ, editor. PLoS Negl Trop Dis. 2016;10: e0004758. pmid:27333276
  52. 52. Velo E, Kadriaj P, Mersini K, Shukullari A, Manxhari B, Simaku A, et al. Enhancement of Aedes albopictus collections by ovitrap and sticky adult trap. Parasites and Vectors. 2016;9. pmid:27102015
  53. 53. Pichler V, Bellini R, Veronesi R, Arnoldi D, Rizzoli A, Lia RP, et al. First evidence of resistance to pyrethroid insecticides in Italian Aedes albopictus populations 26 years after invasion. Pest Manag Sci. 2018;74: 1319–1327. pmid:29278457
  54. 54. Suter T, Crespo MM, de Oliveira MF, de Oliveira TSA, de Melo-Santos MAV, de Oliveira CMF, et al. Insecticide susceptibility of Aedes albopictus and Ae. aegypti from Brazil and the Swiss-Italian border region. Parasit Vectors. 2017;10: 431. pmid:28927441
  55. 55. Bengoa M, Eritja R, Delacour S, Miranda MÁ, Sureda A, Lucientes J. First Data on Resistance to Pyrethroids in Wild Populations of Aedes albopictus from Spain. J Am Mosq Control Assoc. 2017;33: 246–249. pmid:28854116
  56. 56. Roiz D, Boussès P, Simard F, Paupy C, Fontenille D. Autochthonous Chikungunya transmission and extreme climate events in Southern France. Carvalho MS, editor. PLoS Negl Trop Dis. 2015;9: e0003854. pmid:26079620
  57. 57. Calzolari M, Pautasso A, Montarsi F, Albieri A, Bellini R, Bonilauri P, et al. West Nile virus surveillance in 2013 via mosquito screening in northern Italy and the influence of weather on virus circulation. PLoS ONE. 2015;10. pmid:26488475
  58. 58. Aranda C, Sánchez-Seco MP, Cáceres F, Escosa R, Gálvez JC, Masià M, et al. Detection and monitoring of mosquito flaviviruses in Spain between 2001 and 2005. Vector-Borne Zoonotic Dis. 2009;9: 171–178. pmid:18959502
  59. 59. Aranda C, Martínez MJ, Montalvo T, Eritja R, Navero-Castillejos J, Herreros E, et al. Arbovirus surveillance: first dengue virus detection in local Aedes albopictus mosquitoes in Europe, Catalonia, Spain, 2015. Eurosurveillance. 2018;23. pmid:30482266
  60. 60. Succo T, Leparc-Goffart I, Ferré J, Roiz D, Broche B, Maquart M, et al. Autochthonous dengue outbreak in Nîmes, South of France, July to September 2015. Eurosurveillance. 2016;21: 1–7. pmid:27254729
  61. 61. Delisle E, Rousseau C, Broche B, Leparc-Goffart I, L’Ambert G, Cochet A, et al. Chikungunya outbreak in Montpellier, France, September to October 2014. Euro Surveill. 2015 [cited 2018 Mar 3];20. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25955774.
  62. 62. La Ruche G, Souarès Y, Armengaud A, Peloux-Petiot F, Delaunay P, Desprès P, et al. First two autochthonous dengue virus infections in metropolitan France, September 2010. Euro Surveill. 2010 [cited 2018 Mar 3];15: 19676. Available from: http://www.ncbi.nlm.nih.gov/pubmed/20929659. pmid:20929659
  63. 63. Barnett HC. The incrimination of arthropods as vectors of disease. Int Congr Entomol. 1962;Proc. XI: 341–345.
  64. 64. Schaffner F, Mathis A. Dengue and dengue vectors in the WHO European region: past, present, and scenarios for the future. Lancet Infect Dis. 2014;14: 1271–80. pmid:25172160
  65. 65. Eritja R, Palmer JRB, Roiz D, Sanpera-Calbet I, Bartumeus F. Direct Evidence of Adult Aedes albopictus Dispersal by Car. Sci Rep. 2017;7: 14399. pmid:29070818
  66. 66. Kotsakiozi P, Gloria-Soria A, Schaffner F, Robert V, Powell JR. Aedes aegypti in the Black Sea: Recent introduction or ancient remnant? Parasites and Vectors. 2018;11: 396. pmid:29980229
  67. 67. Akiner MM, Demirci B, Babuadze G, Robert V, Schaffner F. Spread of the Invasive Mosquitoes Aedes aegypti and Aedes albopictus in the Black Sea Region Increases Risk of Chikungunya, Dengue, and Zika Outbreaks in Europe. PLoS Negl Trop Dis. 2016;10: e0004664. pmid:27115737
  68. 68. European Centre for Disease Prevention and Control (ECDC). Technical Report. Development of Aedes albopictus risk maps Stockholm, May 2009. Stockholm: ECDC; 2009.
  69. 69. Kraemer MU, Sinka ME, Duda KA, Mylne AQ, Shearer FM, Barker CM, et al. The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus. Elife. 2015;4: e08347. pmid:26126267
  70. 70. Ducheyne E, Tran Minh NN, Haddad N, Bryssinckx W, Buliva E, Simard F, et al. Current and future distribution of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) in WHO Eastern Mediterranean Region. Int J Health Geogr. 2018;17: 4. pmid:29444675
  71. 71. Palmer JRB, Oltra A, Collantes F, Delgado JA, Lucientes J, Delacour S, et al. Citizen science provides a reliable and scalable tool to track disease-carrying mosquitoes. Nat Commun. 2017;8: 916. pmid:29066710
  72. 72. Walther D, Kampen H. The Citizen Science Project “Mueckenatlas” Helps Monitor the Distribution and Spread of Invasive Mosquito Species in Germany. J Med Entomol. 2017;54: 1790–1794. pmid:29029273
  73. 73. Knudsen AB, Romi R, Majori G. Occurrence and spread in Italy of Aedes albopictus, with implications for its introduction into other parts of Europe. Journal of the American Mosquito Control Association. 1996;12: 177–183. pmid:8827590
  74. 74. Roiz D, Neteler M, Castellani C, Arnoldi D, Rizzoli A. Climatic factors driving invasion of the tiger mosquito (Aedes albopictus) into new areas of Trentino, northern Italy. Baylis M, editor. PLoS ONE. 2011;6: e14800. pmid:21525991
  75. 75. Focks D. A review of entomological sampling methods and indicators for dengue vectors. Geneva: WHO; 2003.
  76. 76. Bowman LR, Runge-Ranzinger S, McCall PJ. Assessing the relationship between vector indices and dengue transmission: a systematic review of the evidence. PLoS Negl Trop Dis. 2014;8: e2848. pmid:24810901
  77. 77. Fonseca DM, Unlu I, Crepeau T, Farajollahi A, Healy SP, Bartlett-Healy K, et al. Area-wide management of Aedes albopictus. Part 2: gauging the efficacy of traditional integrated pest control measures against urban container mosquitoes. Pest Manag Sci. 2013;69: 1351–61. pmid:23649950
  78. 78. Farajollahi A, Kesavaraju B, Price DC, Williams GM, Healy SP, Gaugler R, et al. Field efficacy of BG-Sentinel and industry-standard traps for Aedes albopictus (Diptera: Culicidae) and West Nile virus surveillance. J Med Entomol. 2009;46: 919–25. pmid:19645298
  79. 79. Maciel-de-Freitas R, Eiras AE, Lourenço-de-Oliveira R. Field evaluation of effectiveness of the BG-Sentinel, a new trap for capturing adult Aedes aegypti (Diptera: Culicidae). Mem Inst Oswaldo Cruz. 2006;101: 321–5. pmid:16862330
  80. 80. Johnson BJ, Hurst T, Quoc HL, Unlu I, Freebairn C, Faraji A, et al. Field Comparisons of the Gravid Aedes Trap (GAT) and BG-Sentinel Trap for Monitoring Aedes albopictus (Diptera: Culicidae) Populations and Notes on Indoor GAT Collections in Vietnam. J Med Entomol. 2017;54: 340–348. pmid:27707983
  81. 81. Sallam MF, Fizer C, Pilant AN, Whung P-Y. Systematic Review: Land Cover, Meteorological, and Socioeconomic Determinants of Aedes Mosquito Habitat for Risk Mapping. Int J Environ Res Public Health. 2017;14: 1230. pmid:29035317
  82. 82. Chandel K, Suman DS, Wang Y, Unlu I, Williges E, Williams GM, et al. Targeting a Hidden Enemy: Pyriproxyfen Autodissemination Strategy for the Control of the Container Mosquito Aedes albopictus in Cryptic Habitats. PLoS Negl Trop Dis. 2016;10. pmid:28033379
  83. 83. Boo CS. Legislation for control of dengue in Singapore. Dengue Bull. 2001;25: 69–73.
  84. 84. Montgomery BL, Ritchie SA. Roof gutters: a key container for Aedes aegypti and Ochlerotatus notoscriptus (Diptera: Culicidae) in Australia. Am J Trop Med Hyg. 2002;67: 244–6. pmid:12408662
  85. 85. Unlu I, Faraji A, Indelicato N, Fonseca DM. The hidden world of Asian tiger mosquitoes: immature Aedes albopictus (Skuse) dominate in rainwater corrugated extension spouts. Trans R Soc Trop Med Hyg. 2014;108: 699–705. pmid:25193027
  86. 86. Trentini F, Poletti P, Baldacchino F, Drago A, Montarsi F, Capelli G, et al. The containment of potential outbreaks triggered by imported Chikungunya cases in Italy: a cost utility epidemiological assessment of vector control measures. Sci Rep. 2018;8: 9034. pmid:29899520
  87. 87. Thomas SJ, Aldstadt J, Jarman RG, Buddhari D, Yoon I-K, Richardson JH, et al. Improving dengue virus capture rates in humans and vectors in Kamphaeng Phet Province, Thailand, using an enhanced spatiotemporal surveillance strategy. Am J Trop Med Hyg. 2015;93: 24–32. pmid:25986580
  88. 88. Winkelmann ER, Luo H, Wang T. West Nile Virus Infection in the Central Nervous System. F1000Research. 2016;5. pmid:26918172
  89. 89. Rizzoli A, Jimenez-Clavero MA, Barzon L, Cordioli P, Figuerola J, Koraka P, et al. The challenge of West Nile virus in Europe: knowledge gaps and research priorities. Euro Surveill. 2015;20(20): 21135.
  90. 90. Murgue B, Murri S, Triki H, Deubel V, Zeller HG. West Nile in the Mediterranean basin: 1950–2000. Ann N Y Acad Sci. 2001;951: 117–26. pmid:11797769
  91. 91. Chancey C, Grinev A, Volkova E, Rios M. The Global Ecology and Epidemiology of West Nile Virus. BioMed Research International. 2015. pmid:25866777
  92. 92. Shaibi T, Saadawi WK, Aghila H, Annajar BB. Prevalence of IgG antibodies for the West Nile virus in human population in Tripoli, Libya. J Vector Borne Dis. 54: 183–186. pmid:28748841
  93. 93. Ergunay K, Gunay F, Erisoz Kasap O, Oter K, Gargari S, Karaoglu T, et al. Serological, molecular and entomological surveillance demonstrates widespread circulation of West Nile virus in Turkey. Charrel R, editor. PLoS Negl Trop Dis. 2014;8: e3028. pmid:25058465
  94. 94. Zehender G, Veo C, Ebranati E, Carta V, Rovida F, Percivalle E, et al. Reconstructing the recent West Nile virus lineage 2 epidemic in Europe and Italy using discrete and continuous phylogeography. Paraskevis D, editor. PLoS ONE. 2017;12: e0179679. pmid:28678837
  95. 95. Di Sabatino D, Bruno R, Sauro F, Danzetta ML, Cito F, Iannetti S, et al. Epidemiology of West Nile Disease in Europe and in the Mediterranean Basin from 2009 to 2013. BioMed Research International. 2014: 1–10. pmid:25302311
  96. 96. Paz S, Malkinson D, Green MS, Tsioni G, Papa A, Danis K, et al. Permissive summer temperatures of the 2010 European West Nile fever upsurge. Mores CN, editor. PLoS ONE. 2013;8: e56398. pmid:23431374
  97. 97. Tran A, Sudre B, Paz S, Rossi M, Desbrosse A, Chevalier V, et al. Environmental predictors of West Nile fever risk in Europe. Int J Health Geogr. 2014;13: 26. pmid:24986363
  98. 98. Jourdain E, Gauthier-Clerc M, Bicout DJ, Sabatier P. Bird migration routes and risk for pathogen dispersion into western Mediterranean wetlands. Emerg Infect Dis. 2007;13: 365–72. pmid:17552088
  99. 99. Chevalier V, Tran A, Durand B. Predictive Modeling of West Nile Virus Transmission Risk in the Mediterranean Basin: How Far from Landing? Int J Environ Res Public Health. 2014;11: 67–90. pmid:24362544
  100. 100. Conte A, Candeloro L, Ippoliti C, Monaco F, De Massis F, Bruno R, et al. Spatio-Temporal Identification of Areas Suitable for West Nile Disease in the Mediterranean Basin and Central Europe. PLoS ONE. 2015;10: e0146024. pmid:26717483
  101. 101. Calistri P, Ippoliti C, Candeloro L, Benjelloun A, El Harrak M, Bouchra B, et al. Analysis of climatic and environmental variables associated with the occurrence of West Nile virus in Morocco. Prev Vet Med. 2013;110: 549–553. pmid:23453893
  102. 102. Bargaoui R, Lecollinet S, Lancelot R. Mapping the serological prevalence rate of West Nile fever in equids, Tunisia. Transbound Emerg Dis. 2015;62: 55–66. pmid:23906318
  103. 103. Ben Hassine T, Conte A, Calistri P, Candeloro L, Ippoliti C, De Massis F, et al. Identification of Suitable Areas for West Nile Virus Circulation in Tunisia. Transbound Emerg Dis. 2017;64: 449–458. pmid:26032967
  104. 104. Chevalier V, Lecollinet S, Durand B. West Nile virus in Europe: a comparison of surveillance system designs in a changing epidemiological context. Vector Borne Zoonotic Dis. 2011;11: 1085–1091. pmid:21548765
  105. 105. European Centre for Disease Prevention and Control (ECDC) [Internet]. Expert consultation on West Nile virus infection, Stockholm, 21–22 April 2009. Meeting report. Stockholm: ECDC; 2009 [cited 2018 Mar 3]. Available from: http://www.ecdc.europa.eu/en/publications/Publications/0909_MER_Expert_consultation_on_WNV.pdf.
  106. 106. Gossner CM, Marrama L, Carson M, Allerberger F, Calistri P, Dilaveris D, et al. West Nile virus surveillance in Europe: moving towards an integrated animal-human-vector approach. Euro Surveill. 2017;22: 30526. pmid:28494844
  107. 107. Calzolari M, Monaco F, Montarsi F, Bonilauri P, Ravagnan S, Bellini R, et al. New incursions of West Nile virus lineage 2 in Italy in 2013: the value of the entomological surveillance as early warning system. Vet Ital. 2013;49: 315–319. pmid:24002939
  108. 108. Petrić D, Petrović T, Hrnjaković Cvjetković I, Zgomba M, Milošević V, Lazić G, et al. West Nile virus ‘circulation’ in Vojvodina, Serbia: Mosquito, bird, horse and human surveillance. Mol Cell Probes. 2017;31: 28–36. pmid:27777104
  109. 109. Papa A, Papadopoulou E, Kalaitzopoulou S, Tsioka K, Mourelatos S. Detection of West Nile virus and insect-specific flavivirus RNA in Culex mosquitoes, central Macedonia, Greece. Trans R Soc Trop Med Hyg. 2014;108: 555–9. pmid:25033823
  110. 110. Riccardo F, Monaco F, Bella A, Savini G, Russo F, Cagarelli R, et al. An early start of West Nile virus seasonal transmission: the added value of One Heath surveillance in detecting early circulation and triggering timely response in Italy, June to July 2018. Euro Surveill. 2018;23. pmid:30107870
  111. 111. Pisani G, Cristiano K, Pupella S, Liumbruno GM. West Nile Virus in Europe and Safety of Blood Transfusion. Transfus Med Hemother. 2016;43: 158–67. pmid:27403087
  112. 112. Vázquez A, Sánchez-Seco MP, Ruiz S, Molero F, Hernández L, Moreno J, et al. Putative New Lineage of West Nile Virus, Spain. Emerg Infect Dis. 2010;16: 549–552. pmid:20202444
  113. 113. Calzolari M, Gaibani P, Bellini R, Defilippo F, Pierro A, Albieri A, et al. Mosquito, bird and human surveillance of West Nile and Usutu viruses in Emilia-Romagna Region (Italy) in 2010. PLoS ONE. 2012;7: e38058. pmid:22666446
  114. 114. Alba A, Allepuz A, Napp S, Soler M, Selga I, Aranda C, et al. Ecological surveillance for West Nile in Catalonia (Spain), learning from a five-year period of follow-up. Zoonoses Public Health. 2014;61: 181–191. pmid:23590452
  115. 115. Rizzoli A, Bolzoni L, Chadwick EA, Capelli G, Montarsi F, Grisenti M, et al. Understanding West Nile virus ecology in Europe: Culex pipiens host feeding preference in a hotspot of virus emergence. Parasit Vectors. 2015;8: 213. pmid:25888754
  116. 116. Wagner S, Guidi V, Torgerson PR, Mathis A, Schaffner F. Diversity and seasonal abundances of mosquitoes at potential arboviral transmission sites in two different climate zones in Switzerland. Med Vet Entomol. 2018;32: 175–185. pmid:29424446
  117. 117. Linthicum KJ, Britch SC, Anyamba A. Rift Valley Fever: An Emerging Mosquito-Borne Disease. Annu Rev Entomol. 2016;61: 395–415. pmid:26982443
  118. 118. Abozeid S, Elsayed AK, Schaffner F, Samy AM. Re-emergence of Aedes aegypti in Egypt. Lancet Infect Dis. 2018;18: 142–143.
  119. 119. Balenghien T, Cardinale E, Chevalier V, Elissa N, Failloux A-B, Jean Jose Nipomichene TN, et al. Towards a better understanding of Rift Valley fever epidemiology in the south-west of the Indian Ocean. Vet Res. 2013;44: 78. pmid:24016237
  120. 120. Ould El Mamy AB, Baba MO, Barry Y, Isselmou K, Dia ML, Hampate B, et al. Unexpected rift valley fever outbreak, Northern Mauritania. Emerging Infectious Diseases. 2011: 1894–1896. pmid:22000364
  121. 121. Mroz C, Gwida M, El-Ashker M, El-Diasty M, El-Beskawy M, Ziegler U, et al. Seroprevalence of Rift Valley fever virus in livestock during inter-epidemic period in Egypt, 2014/15. BMC Vet Res. 2017;13: 87. pmid:28381251
  122. 122. Arsevska E, Lancelot R, El Mamy BO, Cetre-Sossah C. Situation épidémiologique de la fièvre de la Vallée du Rift en Afrique de l’Ouest et du Nord. Bull Epidémiologique, santé Anim Aliment. 2016 [cited 2018 Mar 3]; 25–29. Available from: https://be.anses.fr/sites/default/files/BEP-mg-BE74-art6.pdf.
  123. 123. European Food Safety Authority (EFSA). Opinion of the Scientific Panel on Animal Health and Welfare (AHAW) on a request from the Commission related to “The Risk of a Rift Valley Fever Incursion and its Persistence within the Community.” EFSA J. 2005;3: 1–128.
  124. 124. Chevalier V, Pépin M, Plée L, Lancelot R. Rift Valley fever—a threat for Europe? Euro Surveill. 2010;15: 19506. pmid:20403309
  125. 125. Stärk KDC, Regula G, Hernandez J, Knopf L, Fuchs K, Morris RS, et al. Concepts for risk-based surveillance in the field of veterinary medicine and veterinary public health: review of current approaches. BMC Health Serv Res. 2006;6: 20. pmid:16507106
  126. 126. Arsevska E, Hellal J, Mejri S, Hammami S, Marianneau P, Calavas D, et al. Identifying Areas Suitable for the Occurrence of Rift Valley Fever in North Africa: Implications for Surveillance. Transbound Emerg Dis. 2016;63: 658–674. pmid:25655790
  127. 127. Napp S, Chevalier V, Busquets N, Calistri P, Casal J, Attia M, et al. Understanding the legal trade of cattle and camels and the derived risk of Rift Valley Fever introduction into and transmission within Egypt. Dobson AP, editor. PLoS Negl Trop Dis. 2018;12: e0006143. pmid:29351273
  128. 128. Sánchez-Vizcaíno F, Martínez-López B, Sánchez-Vizcaíno JM. Identification of suitable areas for the occurrence of Rift Valley fever outbreaks in Spain using a multiple criteria decision framework. Vet Microbiol. 2013;165: 71–8. pmid:23602438
  129. 129. Tran A, Ippoliti C, Balenghien T, Conte A, Gely M, Calistri P, et al. A geographical information system-based multicriteria evaluation to map areas at risk for Rift Valley fever vector-borne transmission in Italy. Transbound Emerg Dis. 2013;60 Suppl 2: 14–23. pmid:24589097
  130. 130. Rostal MK, Ross N, Machalaba C, Cordel C, Paweska JT, Karesh WB. Benefits of a one health approach: An example using Rift Valley fever. One Heal (Amsterdam, Netherlands). 2018;5: 34–36. pmid:29911162
  131. 131. WHO. Vector surveillance and control at ports, airports, and ground crossings. Geneva: World Health Organization; 2016.