Skip to main content
Advertisement
  • Loading metrics

House screening with insecticide-treated netting provides sustained reductions in domestic populations of Aedes aegypti in Merida, Mexico

  • Azael Che-Mendoza,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

    Affiliations Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, United Kingdom, Unidad Colaborativa para Bioensayos Entomologicos, Universidad Autonoma de Yucatan, Merida, Yucatan, Mexico, Centro Nacional de Programas Preventivos y Control de Enfermedades, Secretaria de Salud, Ciudad de Mexico, Mexico

  • Anuar Medina-Barreiro,

    Roles Investigation

    Affiliation Unidad Colaborativa para Bioensayos Entomologicos, Universidad Autonoma de Yucatan, Merida, Yucatan, Mexico

  • Edgar Koyoc-Cardeña,

    Roles Investigation

    Affiliation Unidad Colaborativa para Bioensayos Entomologicos, Universidad Autonoma de Yucatan, Merida, Yucatan, Mexico

  • Valentín Uc-Puc,

    Roles Investigation

    Affiliation Unidad Colaborativa para Bioensayos Entomologicos, Universidad Autonoma de Yucatan, Merida, Yucatan, Mexico

  • Yamili Contreras-Perera,

    Roles Investigation

    Affiliation Unidad Colaborativa para Bioensayos Entomologicos, Universidad Autonoma de Yucatan, Merida, Yucatan, Mexico

  • Josué Herrera-Bojórquez,

    Roles Investigation

    Affiliation Unidad Colaborativa para Bioensayos Entomologicos, Universidad Autonoma de Yucatan, Merida, Yucatan, Mexico

  • Felipe Dzul-Manzanilla,

    Roles Formal analysis, Investigation

    Affiliation Centro Nacional de Programas Preventivos y Control de Enfermedades, Secretaria de Salud, Ciudad de Mexico, Mexico

  • Fabian Correa-Morales,

    Roles Writing – review & editing

    Affiliation Centro Nacional de Programas Preventivos y Control de Enfermedades, Secretaria de Salud, Ciudad de Mexico, Mexico

  • Hilary Ranson,

    Roles Writing – review & editing

    Affiliation Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, United Kingdom

  • Audrey Lenhart,

    Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Writing – review & editing

    Affiliations Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, United Kingdom, Centers for Disease Control and Prevention, Entomology Branch, Atlanta, Georgia, United States of America

  • Philip J. McCall,

    Roles Conceptualization, Methodology, Writing – review & editing

    Affiliation Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, United Kingdom

  • Axel Kroeger,

    Roles Conceptualization, Methodology, Writing – review & editing

    Affiliations Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, United Kingdom, Special Programme for Research and Training in Tropical Diseases (TDR), World Health Organization, Geneva, Switzerland

  • Gonzalo Vazquez-Prokopec,

    Roles Conceptualization, Formal analysis, Methodology, Writing – review & editing

    Affiliation Department of Environmental Sciences, Emory University, Atlanta, Georgia, United States of America

  • Pablo Manrique-Saide

    Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Supervision, Writing – review & editing

    msaide@correo.uady.mx

    Affiliation Unidad Colaborativa para Bioensayos Entomologicos, Universidad Autonoma de Yucatan, Merida, Yucatan, Mexico

Abstract

Background

There is a need for effective methods to control Aedes aegypti and prevent the transmission of dengue, chikungunya, yellow fever and Zika viruses. Insecticide treated screening (ITS) is a promising approach, particularly as it targets adult mosquitoes to reduce human-mosquito contact.

Methodology/Principal findings

A cluster-randomised controlled trial evaluated the entomological efficacy of ITS based intervention, which consisted of the installation of pyrethroid-impregnated long-lasting insecticide-treated netting material fixed as framed screens on external doors and windows. A total of 10 treatment and 10 control clusters (100 houses/cluster) were distributed throughout the city of Merida, Mexico. Cross-sectional entomological surveys quantified indoor adult mosquito infestation at baseline (pre-intervention) and throughout four post-intervention (PI) surveys spaced at 6-month intervals corresponding to dry/rainy seasons over two years (2012–2014). A total of 844 households from intervention clusters (86% coverage) were protected with ITS at the start of the trial. Significant reductions in the indoor presence and abundance of Ae. aegypti adults (OR = 0.48 and IRR = 0.45, P<0.05 respectively) and the indoor presence and abundance of Ae. aegypti female mosquitoes (OR = 0.47 and IRR = 0.44, P<0.05 respectively) were detected in intervention clusters compared to controls. This high level of protective effect was sustained for up to 24 months PI. Insecticidal activity of the ITS material declined with time, with ~70% mortality being demonstrated in susceptible mosquito cohorts up to 24 months after installation.

Conclusions/Significance

The strong and sustained entomological impact observed in this study demonstrates the potential of house screening as a feasible, alternative approach to a sustained long-term impact on household infestations of Ae. aegypti. Larger trials quantifying the effectiveness of ITS on epidemiological endpoints are warranted and therefore recommended.

Author summary

An ITS based intervention, screened houses with insecticide-treated netting (long-lasting insecticidal nets permanently fixed with aluminium frames on external doors and windows), in Merida city, Mexico. Screened houses had >50% less chance of having Ae. aegypti mosquitoes indoors and importantly, >50% fewer female Ae. aegypti in comparison with non-screened houses (control houses). The impact was sustained over 2 years. House screening could provide a feasible sustainable method to reduce human-vector contact inside houses and could potentially be scaled up to protect against mosquito-borne diseases, particularly in locations where the simultaneous transmission, or threat, of dengue, chikungunya, yellow fever and Zika is occurring.

Introduction

The development of effective and long-lasting methods for the control of the mosquito Aedes aegypti is a top global health priority, especially in the current epidemiological context of multiple co-circulating Aedes-borne diseases (dengue, yellow fever, chikungunya, Zika, mayaro) [1,2]. Vector control programs strongly rely on insecticide-based approaches such as house-to-house hand-application of larvicides to water holding containers, ultra-low volume adulticiding and thermal fogging [3]. Previous research suggests that such methods of vector control, particularly when applied in isolation, have little, if any, impact on controlling adult mosquito populations or preventing disease [2,47]. This is largely because their effect is transient and depends on continued re-application to achieve a measurable entomological impact [8]. The emergence of insecticide resistance in Ae. aegypti and the challenges represented by highly variable resistance patterns over space and time [9] further limits the effectiveness of insecticide-only traditional strategies and provides a strong justification for the development of integrated vector management plans for Aedes-borne disease control [10]. Achieving a measurable impact on Aedes-borne diseases requires a re-formulation of current vector control strategies and a renewed focus on both lowering adult vector abundance and preventing human-vector contact [1].

When used properly, long-lasting insecticide treated netting (LLIN), most commonly used as bednets, have been shown to provide an effective way to reduce human-vector contact from multiple pathogens transmitted by endophilic night-biting mosquitoes [1115]. The deployment of LLIN material as window curtains (insecticide treated curtains, ITCs) has proven to reduce indoor Ae.aegypti densities and theoretically reduce dengue transmission risk [1620]. While ITCs can be easily implemented within Ae. aegypti-endemic areas, recent studies have revealed challenges related to their handling and sustained usage. For example, in Iquitos, Peru, a sociological study found that correct use of ITCs fell dramatically over time (45% in the second year of deploying) [21]. In addition, the efficacy of ITCs can be compromised when curtains remain open during daytime or when all house entry points cannot be protected [1820,22,23]. ITCs were shown to be most effective when houses had fewer and smaller windows and doors and where coverage of the intervention was particularly high [2].

Modifying houses to make them refractory to vector entrance is gaining renewed momentum as a paradigm for mosquito control [2428]. As most human exposure to Ae. aegypti occurs indoors [29], the use of screens as physical barriers to the entrance of mosquitoes has been found as a protective housing feature in many observational epidemiological studies [3033]. Housing improvement as a public health intervention is being considered for Ae. aegypti control in Mexico as part of an integrated vector management strategy [27]. A housing improvement based intervention called was developed in Mexico to evaluate the entomological impact of applying insecticide treated screening (ITS) with LLIN material permanently to doors and windows [34,35]. Cluster-randomised controlled trial (RCT) performed in the city of Acapulco, showed that ITS had an immediate but also a sustained (~2yr) impact on indoor-adult Ae. aegypti infestations, even in the presence of high pyrethroid resistance in the local Aedes population [34,35]. Such results suggest that ITS could act both as a physical and a chemical barrier to mosquitoes. ITS was viewed positively by the community, with a perceived efficacy on mosquito abundance and biting, and a perceived reduction in other domestic pests [36].

Because of the co-endemicity risk of dengue (DEN), chikungunya (CHIK) and Zika (ZIK) viruses in a large proportion of Ae. aegypti infested cities of Mexico, the National Ministry of Health pursued the potential of house screening for disease prevention [37]. The promising results in Acapulco led to a follow-up initiative, applying the intervention to a new metropolitan area to generate further evidence of the efficacy and limitations of the strategy. Here, we report results of a RCT evaluating the entomological impact of the ITS intervention on indoor Ae. aegypti populations in the city of Merida, Mexico.

Methods

Study site

The study took place in the city of Merida, located in the State of Yucatan, Mexico. Merida is the state capital and the major urban center with a population of 814,435 inhabitants living in 272,418 households [38]. Dengue is highly prevalent in Merida. More than 50% of all dengue cases reported in Yucatan State occurred in Merida. During 2005–2015 dengue case reports in the city ranged between 437 and 3,953, and incidence rates (per 100,000 people) ranged between 49 and 254. Fatalities caused by dengue have been negligible except for 51 deaths reported during 2011–2013, with a lethality less than 1%. In the national context, Merida is one of three Mexican cities (above of 800,000 inhabitants) that have reported the highest proportion of dengue cases in the last 15 years (3.7%), together with Acapulco (3.1%) and Veracruz (2.4%) [39]. The first cases of chikungunya and a subsequent outbreak (1,531 cases) occurred in 2015 and transmission is ongoing [39]. Zika transmission was detected in May 2016 and cases continue to be reported [39]. Previous studies in Merida on productive container types for Ae. aegypti immatures have incriminated disposable containers and buckets/pots, and other rain-filled objects left in backyards [4042]. Non-residential habitats, such as subsurface catch basins, have been also identified as productive Ae. aegypti habitats [43,44].

Study design

This study followed a core protocol developed by a consortium of researchers participating in a multinational project on eco-bio-social responses to dengue [45]. Briefly, a cluster-randomised design was applied to 20 geographic clusters (each cluster corresponded to a different neighbourhood) of 100 households each, with 10 clusters randomly assigned to either intervention or control arms of the study. In coordination with the local Ministry of Health, the study team selected the top 20 neighbourhoods in terms of their 2010–2012 cumulative dengue incidence (Fig 1). The randomization of treatments (ITS or not intervention) was then performed on these clusters (neighbourhoods). The randomization of treatments and paired design ensured a high consistency of key variables in intervention and control clusters. Once treatments were assigned, enrolment of households started in the most central block within the neighbourhood. All inhabited houses on the block were visited and their owners invited to participate in the project. Only houses that consented to participate in the intervention were included in the study. Household enrolment continued in neighbouring blocks until the target of 100 households per cluster was achieved. The average cluster size to reach 100 households was 14 city blocks (in Merida each city block has, on average, 25 houses). Not all premises within a block were enrolled in the study because they were either small businesses, empty, or householders were absent at the time of enrolment or declined to participate. Houses included in the study were typically single storey, made of cement-plastered blocks with a closed roof, and with no other ventilating features (i.e. ventilation bricks, eaves, etc.) other than windows.

thumbnail
Fig 1. Location of treatment and control clusters within the city of Merida.

The clusters with and without ITS are shown in blue and red, respectively. Source: INEGI, 2010 (http://www.beta.inegi.org.mx/app/biblioteca/ficha.html?upc=702825292805).

https://doi.org/10.1371/journal.pntd.0006283.g001

ITS intervention

As described in [34,35], Duranet LLIN material (0.55% w.w. alpha-cypermethrin-treated non-flammable polyethylene netting [145 denier; mesh1⁄4132 holes/sq. inch]; Clarke Mosquito Control, Roselle, IL, USA) was mounted in aluminium frames custom-fitted to doors and windows of houses in collaboration with a local small business. Houses were typically single storey flat roof house, made of cement plastered blocks with closed roof, without other ventilating areas than windows (Fig 2). Three teams of three persons/team installed ITS in an average of 100 houses per month (an average of 1.2 houses per day per team), and the installation took nine months to complete. A total of 844 households from intervention clusters (86% of coverage of houses which agreed to participate) were protected with ITS. An average (mean± standard deviation) of two doors (1.90±0.32) and four windows (4.40±0.84) by house were installed in each intervention cluster. During the installation, at least one person in every household received information from research staff about the proper use and maintenance of ITS. The total average cost of the ITS was US $91.5 per house.

thumbnail
Fig 2. House screening with insecticide-treated netting.

Photographs show housing improvement with insecticide-treated screens mounted on aluminium frames and fixed to external doors and windows of treated houses in Merida, Mexico.

https://doi.org/10.1371/journal.pntd.0006283.g002

As part of national policy in response to dengue outbreaks and entomological risk indices [46], routine vector control activities continued in all clusters throughout the study period. These activities included: outdoor spraying with organophosphates (chlorpyrifos-ethyl (2012–13) and malathion (2013–14)), indoor space spraying with a carbamate (propoxur, 2012–13) and a pyrethroid (deltamethrin, 2013–14) and larviciding with temephos.

Intervention follow-up

Cross-sectional entomological surveys were conducted in intervention and control clusters as in [34,35]. Five cross-sectional entomological surveys were conducted: a baseline survey (September 2012) and four follow up surveys spaced approximately at 6-month intervals (March 2013, October 2013, March 2014, October 2014) post-intervention (PI) corresponding to wet, dry, wet, dry and wet seasons, respectively. Inside the clusters, the houses were randomized selected (n = 30/cluster). Briefly, indoor adult mosquito collections were performed in a randomly selected sub-sample of 30 houses from each cluster (total of 300 houses per arm). Indoor adult mosquitoes were collected with Prokopack aspirators [47] for a 15 min period per house. A standard procedure was implemented, starting the collections from the main enter of the houses and finishing in the rooms located at the back of the house. Collections within each cluster were performed on the same day between 09:00–15:00 hrs by 3 teams of 2 skilled collectors each. All mosquitoes collected were identified to species and sex.

No houses sampled in the control clusters had any existing window or door screens.

Insecticide susceptibility status and kdr frequencies

The baseline study included insecticide susceptibility tests and genotyping for kdr. During the rainy season of 2012, a pool of Ae. aegypti eggs from each cluster were hatched from eggs collected from a network of weekly-serviced ovitraps placed in the clusters in both study arms. Batches of unfed 1–3 day-old females of the F1 generation/cluster were subjected to standard CDC bottle bioassays [48]. An additional 30 females/cluster hatched from ovitraps were stored at –70°C for molecular analysis.

The mosquito populations from each cluster were evaluated for resistance to two pyrethroids, permethrin, and alpha-cypermethrin (10 female adult mosquitoes per bottle were exposed; four replicates per test) using the suggested diagnostic doses (15 and 10 μg/mL respectively) and diagnostic time (knockdown at 30 minutes). Additionally, a control bottle test was set up in which mosquitoes were only exposed to bottle´s surface treated with acetone alone (without insecticide active ingredient). If knockdown between 3% and 10% was observed in the controls, the percent mortality was corrected using Abbott’s formula [49].

Genomic DNA was extracted from single whole mosquitoes or from a body part in a solution of 45 μl of H2O and 5 μl of Promega Taq DNA Polymerase10x Buffer with MgCl2 (Madison,116WI) in a 96 well PCR plate. Samples were incubated at 95°C in a BioRad icycler thermocycler for 15 minutes. The presence of kdr-1016I and -1534C alleles were assessed by real-time PCR reaction using the methodology described by [9].

The New Orleans and Rockefeller susceptible strains of Ae. aegypti were used as references for all CDC bottle tests. Genomic DNA from the Rockefeller strain was used as a susceptible (wild-type) control and DNA from previously genotyped individuals was used as positive controls for both kdr mutations. The CDC bottle tests and molecular assays were performed in the Entomological Bioassay Collaborative Unit (UCBE) of Yucatan University (Merida, Mexico) and CDC (Atlanta, USA) laboratories respectively.

LLIN bioassays

Standard World Health Organization cone bioassays [50] were performed to determine the insecticidal activity of the ITS (LLIN material) at 6, 12, 18 and 24 months PI. On each survey date, net samples were obtained from three randomly selected houses in each intervention cluster (3 households x 10 clusters) and transported to the laboratory; the whole screen was cut immediately from centre (10 pieces of 25 cm x 25 cm per screen), wrapped in aluminium foil and then stored at 4 oC for cone bioassays. As different nets had different deployment times, the age (time since installation) of nets distributed was recorded. New, unused Duranet material from the same batch used to make the ITS was also tested.

The WHO standard cone biossays were mostly implemented in ITS in good conditions (although during the study primarily the damaged screens were removed completely and replaced for new ones). ITS with holes were uncommon cases in the house sampled.

Groups of five non-blood fed, 1–3 day old Ae. aegypti from the New Orleans insecticide susceptible strain were exposed to each net sample for 3 minutes and then held for 24 hours in paper cups where they had access to a 10% sucrose solution. Post-exposure knock down (KD) was recorded at 30 minutes and 1 hour, and mortality was recorded after 24 hours.

Netting material was classified according to level of soiling (e.g., presence of dirt or other debris coating the white LLIN fabric) using a grey-colour palette (S1 Fig). The category for each net sample was defined in consensus among three different members of the team.

Data analysis

The following indices were calculated for each sampling date: a) House positivity (presence of at least one) for adult female Ae. aegypti, b) House positivity for any Ae. aegypti adults, c) Number of female Ae. aegypti per house, and d) Number of total Ae. aegypti per house.

Logistic regression models (for binary variables) and negative binomial models (for count variables) were performed for each cross-sectional entomological evaluation survey as described in [34]. Odds ratios (OR) and incidence rate ratios (IRR) with 95% confidence intervals (CI) were assessed and significance expressed at the 5% level.

For WHO cone tests, the percent of KD at 60 minutes and mortality at 24 hours were calculated and corrected when the mortality in control replicates was >5 and <20% using Abbott's formula. To estimate the effect of soiling on the susceptible mosquito survival rate, a two way ANOVA test was performed: the measurement variable was the survival, and the two nominal variables were deployed time (at 6, 12, 18 and 24 months PI) and level of soiling (clean, soiled, very soiled and extremely soiled). Analyses were performed using STATA 12.0 (Stata Corp, College Station, TX).

Descriptive analyses of KD were obtained from different exposures to insecticides in CDC bottle bioassays, and classified according to following criteria [48]: 98–100% indicates susceptibility; 90–97% suggests resistance may be developing; less than 90% indicates resistance.

The frequencies of the 1016I and 1534C alleles were calculated using the following equation: [n heterozygotes +2(n homozygotes)]/2(total n mosquitoes analyzed)

Ethics statement

This study received clearance from the ethical committee of the Ministry of Health of Yucatan. Written informed consent was obtained for each participating household (householder over the age of 18) in the beginning of the study.

Results

Impact of ITS on indoor Ae. aegypti adult mosquitoes

The indoor Ae. aegypti adult-based entomological indicators monitored for two years are shown in Fig 3. During the baseline survey, similar (non-statistically different) infestation levels were identified in both study arms. At the subsequent dry season survey (performed 6 months PI), no significant differences between intervention and control arms were observed regarding the presence of indoor adult females (OR = 0.59, 95% CI 0.28–1.27, P = 0.18) or adults (OR = 0.60, 95% CI 0.30–1.20, P = 0.15). However, in the ITS arm, significantly fewer houses were positive for both adult females (P = 0.004) and any adult Ae. aegypti during the following rainy season (12 months PI) and during the remaining entomological surveys through 24 months PI (Table 1).

thumbnail
Fig 3. Impact of ITS on indoor Aedes aegypti adults.

Comparison between treated (solid line) and untreated (broken line) clusters on the percentage of infested houses with Ae. aegypti (left) and their average abundance (right) in Merida, Yucatan, Mexico. The vertical dotted line represents the start of the intervention. The symbol ϴ denotes dates when the index was significantly different between ITS and control arms (with α = 0.05). Error bars show the standard error of the mean.

https://doi.org/10.1371/journal.pntd.0006283.g003

thumbnail
Table 1. Results of logistic regression models (for presence-absence data) and negative binomial models (for count data) for adult indicators.

Odds ratios (OR) and incidence rate ratios (IRR) with 95% confidence intervals are showed by entomological indicator for each cross-sectional entomological survey.

https://doi.org/10.1371/journal.pntd.0006283.t001

A significant reduction in the abundance of indoor Ae. aegypti adults and females was also observed in houses with ITS compared to control houses for the duration of the study (Fig 3, Table 1). At 6 months PI, total adult abundance was reduced on average by 64% in houses with ITS compared to control houses and this difference remained at approximately 50% for the remaining entomological surveys (range, 44–58%, Table 1). Female abundance followed the same trend, with an average reduction of 59% at 6 months PI and average reduction ranging between 43% and 65% during the subsequent surveys (Table 1).

Bioefficacy of ITS under operational conditions

The overall KD and mortality rate observed after WHO cone bioassays for new non-deployed nets assessed on the Ae. aegypti New Orleans susceptible strain was of 98% (SD±6.1 and ±5.3 respectively). Net samples collected at 6, 12, 18 and 24 months produced low KD levels (range 54–65%) at 60 minutes (Fig 4). Mortality at 24 hours were 71–80% at all time points (Fig 4).

thumbnail
Fig 4. Cone bioassays performed at 6, 12, 18 and 24 months post ITS installation.

Results of WHO cone bioassays after 3 min. exposure: knockdown at 60 minutes (KD60) and 24 h mortality and their standard errors of mean (SE) are shown for New Orleans susceptible Ae. aegypti strain.

https://doi.org/10.1371/journal.pntd.0006283.g004

From the nets sampled at 6 months, the proportion of categories “clean”, “soiled” and “very soiled” LLIN was similar (30%, 33% and 37%, respectively). At 12 months, 58% of the total of nets sampled were categorized as ‘very soiled’. Extremely soiled LLINs were only obtained after 18 and 24 months PI, representing 30% of all net samples at those time points. The effect of time deployed and levels of soiling on mosquito survival were both significant (F3 = 30.2, P<0.001, and F3 = 231, P<0.001 respectively), but a significant interaction term was also observed (F7 = 2.2, P = 0.035). Significant differences in mean survival were observed only in 6 months deployed time when compared with the new-non deployed net (t = 4.5, P<0.001), and in the levels soiled (t = 6.8, P<0.001), very soiled (t = 9.6, P<0.001), and extremely soiled (t = 16.7, P<0,001). Significant interactions were observed between deployed time at 6 months and being very soiled (t = -3.8, P = 0.001), and at 18 months and being very soiled (t = -2.5, P = 0.012). Survival in the bioassay increasedas the nets became more soiled (Fig 5).

thumbnail
Fig 5. Survival in cone bioassays.

Mean of percentage (±SEM) of susceptible Ae. aegypti survival after exposure to ITS with different deployed times and levels of soiling.

https://doi.org/10.1371/journal.pntd.0006283.g005

Insecticide susceptibility status and kdr frequencies: Baseline study

High resistance to permethrin was observed for both intervention (%KD mean 38.2±4.9 S.E.) and control (%KD 39.1±4.6) clusters using the CDC bottle tests. However, houses from both study arms showed moderate resistance to alpha-cypermethrin (%KD for intervened clusters 94.1±1.8 and control clusters 90.9±2.7).

In mosquitoes genotyped for both kdr mutations (N = 295;n = 150 from the intervention arm and n = 145 from the control arm), the allelic frequency was higher for 1534C (0.93±0.12 and 0.88±0.09 for intervention and control arms, respectively) than 1016I (0.82±0.11 and 0.72±0.06 for the respective arms).

Discussion

Results from this study illustrate the impact on Ae. aegypti that can be attained by using ITS. A house protected with ITS on doors and windows had at least a 50% less chance of having Ae. aegypti females in comparison with a non- screened house throughout the 2 year study period.

Other studies have evaluated the impact of interventions with LLIN on Aedes immature indicators, but not on indoor adult density. In Haiti, insecticide-treated bednets showed an immediate effect on immature based indicators, and extended for the following 5–12 months after their deployment [17]. In Thailand, ITC showed immediate effect on immature-based indicators at 6 months [23].

The primary entomological end-point for this trial was number of adult Ae aegypti inside houses. Our rationale for selecting adults was based on using a metric that is: a) most sensitive to the intervention, and b) most closely related to transmission risk. A previous study carried out in Acapulco, Mexico measuring adult Ae aegypti inside houses, reported similar protection levels during a first year of follow-up [35]. In Acapulco city, ITS achieved a protective effect for at least 600 days post installation for both adult- and immature-based indicators but, in this study a second treatment was implemented 14 months after the beginning of ITS intervention, based on targeted treatment of the most productive Ae. aegypti breeding sites [34, 35]. The LLIN protection conferred for at least 2 years was explained by the cumulative effect of the combined interventions. In the present study we observed an immediately effect of LLIN intervention on immature-based indicators, but was not consistently extended for more than 8 months. Sustainable interventions on larvae/pupae habitats can contribute to reducing the breeding sites and eventually the recruitment of individuals emerging from breeding sites [34, 35]. ITC interventions in combination with targeting productive breeding-sites in Mexico [16], Venezuela [16, 20] and Guatemala [19] have also indicated a synergistic effect on Ae. aegypti control.

The present study show evidence that ITS reduced significantly the indoor Aedes density for up to 2 years, despite the presence of resistance to pyrethroids in the local mosquito population. Insecticide resistance screening at baseline demonstrated that resistance was higher to permethrin than alpha-cypermethrin. High levels of permethrin resistance were detected in all clusters, but mosquito populations were moderately resistant or completely susceptible to alpha-cypermethrin. In both study arms, kdr frequencies were very high, close to 0.80 for 1016I and 0.90 for 1534C. Permethrin and alpha-cypermethrin were chosen for screening due to the historical use of pyrethroids and the current insecticide application strategy in the study sites. From 1998 to 2009, pyrethroids were the primary insecticides used for outdoor and indoor spraying to control adult mosquitoes, mainly using permethrin-based formulations. Alpha-cypermethrin was the active ingredient of the LLIN material used for the ITS intervention evaluated in this study.

Multiple factors could explain the lack of complete suppression of Ae. aegypti indoors by ITS. First, this method did not aim to reduce peridomestic breeding or outdoor abundance of mosquitoes. As intervention coverage on each block was not 100%, there is the possibility for mosquito breeding and human feeding even in the presence of screens. In Acapulco, Mexico, combining ITS with peridomestic larval control on the most productive larval habitats resulted in reductions of approximately 65% in abundance of indoor female Ae. aegypti [34], compared with the present study averaging a little more than 56% of reduction. This finding provides evidence of the importance of integrating ITS with additional methods. Secondly, some adults Ae. aegypti may not have contacted or survived contact with the ITS. Novel age-grading techniques [51] could provide more accurate estimates of entomological impact, particularly by quantifying the age structure of vectors inside houses with ITS versus unscreened controls. Social practices could also contribute to indoor presence of mosquitoes; e.g. it’s common in some neighbourhoods that householders keep the doors open for ventilation during the afternoon. In addition, doors of the houses protected with ITS were observed frequently to have been opened providing ease of entry of mosquitoes to the house.

A third explanation could be the loss of insecticidal power on the ITS and/or pyrethroid resistance in the local mosquito population. Exposure to sunlight, rain and dust can impact the insecticidal power of pyrethroid insecticides. Our study assessed the level of soiling as a factor affecting bioavailabiity and mosquito survival after exposure to LLIN. We found that most of the net samples (>60%) were soiled to at least some degree after two years and mosquitoes were more likely to survive as the level of soiling increased. This reduction of residual power is evidenced when comparing our results with other studies, using the same methodology, after exposing susceptible Ae. aegypti strains to deltamethrin-treated curtains (e.g.98-100% of residual insecticidal effectiveness after 12 months; [19,52]. Nevertheless, the field-efficacy of a LLIN may be underestimated if based only on standard cone bioassays [53]. Delayed mortality beyond the first 24 hours was not considered in this study, but it is known affect the survival of mosquitoes by reducing their life span [54]. Despite this, we observed that the insecticidal activity of ITS remained relatively high (>70% mortality), even after 2 years of use (the period considered in this study).

On the other hand it is unlikely that ITS, as used in this study, provided a protective effect by killing pyrethroid-resistant mosquitoes (it is more likely that they functioned simply as a physical barrier to prevent Aedes sp. from entering houses), in this case, one possibility is spraying alternative insecticides onto screens. Further studies should focus on the evaluation of the efficacy of re-impregnating ITS -which had partially lost its efficacy- as part of the resistance management strategies. As new insecticide-treated screening materials become available for mosquito control [55,56], it will be important to evaluate their inclusion within ITS programs that would benefit from greater residual potency at normal field conditions.

A few studies have related the development of insecticide resistance to the use of long-lasting insecticide treated materials. Temporal and spatial trends in Anopheles resistance (temporal increases in metabolic resistance and widespread distribution of kdr mutations) throughout eastern and western Africa [57] overlap with areas that have received long-lasting pyrethroid treated bednets [58]. Increases in kdr allele frequency have been linked to the increased coverage of insecticide treated bednets [59], which -in some cases- may have resulted in reduced impact of vector control interventions [60]. Nevertheless, it is difficult to confirm if this selection pressure is exerted mainly by the use of long-lasting insecticide treated materials, because additional selection pressures are likely involved, especially in urban contexts (e.g. selection pressures from insecticide sprays carried out by local ministries of health and the use of commercial aerosol sprays by householders). Although the results reported in this study may be explained in part by the reduced bioavailability of the insecticide active ingredient on the ITS surface over time, the physiological resistance of mosquitoes to the insecticide limiting the performance of the tool cannot be ruled out. Many of the studies relating pyrethroid resistance to the bio-efficacy of standard LLINs have been performed on malaria vector populations [61], with contradictory results [61, 62].

Improving housing can have significant protective effects against vector-borne diseases [63]. The present study demonstrated that LLIN material deployed as ITS can lower household infestations of Ae. aegypti for at least 2 years. As most human-mosquito contact with Ae. aegypti occurs indoors[64], the observed reduction in household Ae. aegypti infestation could impact virus transmission in a measurable way. Assessing the epidemiological impact of existing and new paradigms on Aedes-borne disease transmission remains a primary public health priority [1,2,15,65]. The body of entomological evidence, herein and previously, demonstrating the sustained impact and potential of ITS strongly supports the need for trials to quantify the intervention in reducing the burden of Aedes-borne diseases. Of particular interest is the evaluation of ITS within an Integrated Vector Management (IVM) scheme that includes additional complementary modes of vector control.

The level and duration of the protection against mosquitoes reported in this study can be compared with indoor residual spraying (IRS), historically the most effective long-lasting method for killing indoor-mosquitoes [66]. Although IRS has not traditionally been recommended for control of Aedes mosquitoes, when properly performed, it can have both an impact on Ae. aegypti infestation and dengue transmission [67, 68]. However, IRS is time consuming and expensive and requires regular retreatment. In terms of cost, IRS (using a carbamate) is US$16.5 per house for a single intervention (value estimated on actual cost of IRS applications for public health use in Mexico); so to protect a house during an entire year, IRS would need to occur four times (US$66/year), whereas the average cost of ITS for up to two years of protection was US $91.5 per house. The initial cost of ITS (or house screening) will be ultimately amortized considering the duration of the metal structures (which could last for more than 10 years) and one would only need to replace the mesh.

Controlling Ae. aegypti with ITS has advantages over many other approaches because they are permanently fitted on doors and windows, require little additional work or behavioural change by household members, and are associated with high overall satisfaction and acceptance levels [36]. Importantly, ITS also have the potential to provide long term household members protection from multiple other vector-borne diseases including malaria, lymphatic filariasis, and leishmaniasis in areas where they co-occur [10]. Ultimately, the suitability of ITS will depend on local construction characteristics, local acceptability of ITS, and local resources available for implementation. In conclusion, the results presented in this study further add to a growing body of evidence demonstrating that ITS is a promising new paradigm for Ae. aegypti control, even in areas where populations of this vector may be pyrethroid-resistant, and justify a second phase for larger trials (thousands of households) quantifying the effectiveness of ITS on epidemiological endpoints.

Supporting information

S1 Fig. Value scales for level of soiling.

https://doi.org/10.1371/journal.pntd.0006283.s001

(TIF)

Acknowledgments

The authors would like to express their sincere gratitude to the UCBE-UADY for the laboratory and insectary facilities for the development of this Project and to the residents of Merida for giving access to their homes for the collection of field material. Many thanks to Entomology Branch of CDC, Atlanta, Georgia, USA, especially to Lucrecia Vizcaino-Cabarrus and Dr. William G. Brogdon for the facilities given for molecular analysis in the CDC entomology laboratory. The nets employed in this study were donated by the company Public Health Supply and Equipment de Mexico, S.A. de C.V.

Disclaimer: The findings and conclusions in this paper are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

References

  1. 1. Achee NL, Gould F, Perkins TA, Reiner RC Jr., Morrison AC, Ritchie SA, et al. A Critical Assessment of Vector Control for Dengue Prevention. PLoS Negl Trop Dis. 2015;9(5):e0003655. pmid:25951103
  2. 2. 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(3): e0004551. pmid:26986468
  3. 3. Reiter. Chapter 25: Surveillance and control of urban dengue vectors. In: Gubler DJ, Ooi EE, Vasudevan S, Farrar J, editors. Dengue and dengue hemorrhagic fever. 2nd ed. UK: CABI; 2014. p. 481–518.
  4. 4. Ballenger-Browning KK, Elder JP. Multi-modal Aedes aegypti mosquito reduction interventions and dengue fever prevention. Trop Med Int Health. 2009;14:1542–51. pmid:19788717
  5. 5. Esu E, Lenhart A, Smith L, Horstick O. Effectiveness of peridomestic space spraying with insecticide on dengue transmission; systematic review. Trop Med lnt Health. 2010;15:619–31.
  6. 6. Horstick O, Runge-Ranzinger S, Nathan MB, Kroeger A. Dengue vector-control services: how do they work? A systematic literature review and country case studies. Trans R Soc Trop Med Hyg. 2010;104:379–86. pmid:20400169
  7. 7. Pilger DD, De Maesschalck M, Horstick O, San Martin J. Dengue outbreak response: documented effective interventions and evidence gaps. TropIKA.net Journal. 2010;1(1).
  8. 8. Barrera R. Dengue and Chikungunya vector control: Is it necessary to re-examine present strategies? Biomedica. 2015;35:297–9. pmid:26849689
  9. 9. Deming R, Manrique-Saide P, Medina Barreiro A, Koyoc-Cardeña EU, Che-Mendoza A, Jones B, et al. Spatial variation of insecticide resistance in the dengue vector Aedes aegypti presents unique vector control challenges. Parasit Vectors. 2016;9:67. pmid:26846468
  10. 10. Golding N, Wilson AL, Moyes CL, Cano J, Pigott DM, Velayudhan R, et al. Integrating vector control across diseases. BMC Med. 2015;1;13:249. pmid:26423147
  11. 11. Bhatt S, Weiss DJ, Cameron E, Bisanzio D, Mappin B, Dalrymple U, et al. The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015. Nature. 2015;526:207–11. pmid:26375008
  12. 12. Mutuku FM, King CH, Mungai P, Mbogo C, Mwangangi J, Muchiri EM, et al. Impact of insecticide-treated bed nets on malaria transmission indices on the south coast of Kenya. Malar J. 2011;10:356. pmid:22165904
  13. 13. Ogoma SB, Lweitoijera DW, Ngonyani H, Furer B, Russell TL, Mukabana WR, et al. Screening mosquito house entry points as a potential method for integrated control of endophagic filariasis, arbovirus and malaria vectors. PLoS Negl Trop Dis. 2010;4:e773. pmid:20689815
  14. 14. Reimer LJ, Thomsen EK, Tisch DJ, Henry-Halldin CN, Zimmerman PA, Baea ME, et al. Insecticidal bed nets and filariasis transmission in Papua New Guinea. N Engl J Med. 2013;369:745–53. pmid:23964936
  15. 15. Wilson AL, Dhiman RC, Kitron U, Scott TW, van den Berg H, Lindsay SW. Benefit of Insecticide-Treated Nets, Curtains and Screening on Vector Borne Diseases, Excluding Malaria: A Systematic Review and Meta-analysis. PLoS Negl Trop Dis. 2014;8:e3228. pmid:25299481
  16. 16. Kroeger A, Lenhart A, Ochoa M, Villegas E, Levy M, Alexander N, et al. Effective control of dengue vectors with curtains and water container covers treated with insecticide in Mexico and Venezuela: cluster randomised trials. BMJ. 2006;332:1247–52. pmid:16735334
  17. 17. Lenhart A, Orelus N, Maskill R, Alexander N, Streit T, McCall PJ. Insecticide-treated bednets to control dengue vectors: preliminary evidence from a controlled trial in Haiti. Trop Med lnt Health. 2008;13:56–67.
  18. 18. Loroño-Pino MA, García-Rejón JE, Machain-Williams C, Gomez-Carro S, Nuñez-Ayala G, Nájera-Vázquez M del R, et al. Towards a Casa Segura: a consumer product study of the effect of insecticide-treated curtains on Aedes aegypti and dengue virus infections in the home. Am J Trop Med Hyg. 2013;89:385–97. pmid:23732254
  19. 19. Rizzo N, Gramajo R, Cabrera-Escobar M, Arana B, Kroeger A, Manrique-Saide P, Petzold M. Dengue vector management using insecticide treated materials and targetted interventions on productive breeding-sites in Guatemala. BMC Public Heath. 2012;12:931–48.
  20. 20. Vanlerberghe V, Villegas E, Oviedo M, Baly A, Lenhart A, McCall PJ, et al. 2011. Evaluation of the Effectiveness of Insecticide Treated Materials for Household Level Dengue Vector Control. PLoS Negl Trop Dis. 2011;5:e994. pmid:21468313
  21. 21. Paz-Soldan VA, Bauer K, Morrison AC, Cordova Lopez JJ, Izumi K, Scott TW, et al. Factors Associated with Correct and Consistent Insecticide Treated Curtain Use in Iquitos, Peru. PLoS Negl Trop Dis. 2016;10:e0004409. pmid:26967157
  22. 22. Lenhart A, Trongtokit Y, Alexander N, Apiwathnasorn C, Satimai W, Vanlerberghe V, et al. A cluster-randomized trial of insecticide-treated curtains for dengue vector control in Thailand. Am J Trop Med Hyg. 2013;88:254–9. pmid:23166195
  23. 23. Vanlerberghe V, Trongtokit Y, Jirarojwatana S, Jirarojwatana R, Lenhart A, Apiwathnasorn C, et al. Coverage-dependent effect of insecticide-treated curtains for dengue control in Thailand. Am J Trop Med Hyg. 2013;89:93–8. pmid:23669233
  24. 24. Kirby MJ. House screening. Chapter 7. In: Cameron MM, Lorenz LM, editors. Biological and environmental control of Disease Vectors. London: CAB International; 2013. p. 117–43.
  25. 25. Knols BG, Farenhorst M, Andriessen R, Snetselaar J, Suer RA, Osinga AJ, et al. Eave tubes for malaria control in Africa: an introduction. Malar J. 2016;15:404. pmid:27515306
  26. 26. Lindsay SW, Jawara M, Paine K, Pinder M, Walraven G, Emerson PM. Changes in house design reduce exposure to malaria mosquitoes. Trop Med Int Health. 2003; 8:512–7. pmid:12791056
  27. 27. Vazquez-Prokopec GM, Lenhart A, Manrique-Saide P. Housing improvement: a novel paradigm for urban vector-borne disease control? Trans R Soc Trop Med Hyg. 2016;110:567–9. pmid:27864518
  28. 28. Walker N. The Hygienic House: Mosquito-Proofing with Screens Am J Trop Med Hyg. 2010;83:963–964. pmid:21036821
  29. 29. De Benedictis J, Chow-Shaffer E, Costero A, Clark GG, Edman JD, Scott TW. Identification of the people from whom engorged Aedes aegypti took blood meals in Florida, Puerto Rico, using polymerase chain reaction-based DNA profiling. Am J Trop Med Hyg. 2003;68:437–46. pmid:12875293
  30. 30. Kirby MJ, Ameh D, Bottomley C, Green C, Jawara M, Milligan PJ, et al. Effect of two different house screening interventions on exposure to malaria vectors and on anaemia in children in The Gambia: a randomised controlled trial. Lancet. 2009;374:998–1009. pmid:19732949
  31. 31. Ko YC, Chen MJ, Yeh SM. The predisposing and protective factors against dengue virus transmission by mosquito vector. Am J Epi. 1992;136:214–20.
  32. 32. McBride WJ, Mullner H, Muller R, Labrooy J, Wronski I. Determinants of dengue 2 infection among residents of Charters Towers, Queensland, Australia. Am J Epi. 1998;148:1111–6.
  33. 33. Reiter P, Lathrop S, Bunning M, Biggerstaff B, Singer D, Tiwari T, et al. Texas lifestyle limits transmission of dengue virus. Emerg Infect Dis. 2003;9:86–9. pmid:12533286
  34. 34. Che-Mendoza A, Guillermo-May G, Herrera-Bojórquez J, Barrera-Pérez M, Dzul-Manzanilla F, Gutierrez-Castro C, et al. Long-lasting insecticide treated house screens and targeted treatment of productive breeding sites for dengue vector control in Acapulco, Mexico. Trans R Soc Trop Med Hyg. 2015;109:106–15. pmid:25604761
  35. 35. Manrique-Saide P, Che-Mendoza A, Barrera-Pérez M, Guillermo-May G, Herrera-Bojórquez J, Dzul-Manzanilla F, et al. Long-lasting insecticide treated house screens reduce domestic infestations of dengue vectors in Mexico. Emerg Infect Dis. 2014;21:308–11.
  36. 36. Jones C, Benítez-Valladares D, Barrera-Pérez M, Selem-Salas C, Chablé-Santos J, Dzul-Manzanilla F, et al. Use and acceptance of Long Lasting Insecticidal Nets for dengue prevention in Acapulco, Guerrero, Mexico. BMC Public Health. 2014;14:846. pmid:25124670
  37. 37. Official Regulations of Mexico. NOM-032-SSA2-2014 para la vigilancia epidemiologica, prevencion y control de enfermedades transmitidas por vector D.O.F. 16th April 2015. Norma Oficial Mexicana, Mexico City (2014).
  38. 38. Garcia Gil G, Oliva Peña Y, Ortiz Pech R. Distribucion espacial de la marginacion en la ciudad de Merida, Yucatan, Mexico. Investigaciones Geograficas, Boletin: 2012;77:89–106.
  39. 39. SINAVE. Sistema Nacional de Vigilancia Epidemiológica. [cited 2016 December12]. Available from: www.rhove.com.mx.
  40. 40. García-Rejón JE, López-Uribe MP, Loroño-Pino MA, Farfán-Ale JA, Najera-Vazquez MR, Lozano-Fuentes S, et al. Productive Container Types for Aedes aegypti Immatures in Mérida, México. J Med Entomol. 2011;48:644–50. pmid:21661326
  41. 41. Manrique-Saide P, Davies CR, Coleman PG, Rebollar-Téllez E, Che-Mendoza A, Dzul-Manzanilla F, et al. Pupal surveys for Aedes aegypti surveillance and potential targeted control in residential areas of Merida, Mexico. J Am Mosq Control Assoc. 2008;24:289–98. pmid:18666538
  42. 42. Winch PJ, Barrientos-Sanchez G, Puigserver-Castro E, Manzano-Cabrera L, Lloyd LS, Mendez-Galvan JF. Variation in Aedes aegypti larval indices over a one year period in a neighborhood of Merida, Yucatan, Mexico. J Am Mosq Control Assoc. 1992;8:193–5. pmid:1431864
  43. 43. Manrique-Saide P, Uc V, Prado C, Carmona C, Vadillo J, Chan R, et al. Storm sewers as larval habitats for Aedes aegypti and Culex spp. in a neighborhood of Merida, Mexico J Am Mosq Control Assoc. 2012;28:255–7. pmid:23833907
  44. 44. Manrique-Saide P, Arisqueta-Chable C, Geded-Moreno E, Herrera-Bojórquez J, Uc V, Chable-Santos J, et al. An assessment of the importance of subsurface catch basins for Aedes aegypti adult production during the dry season in a neighborhood of Merida, Mexico. J Am Mosq Control Assoc. 2013;29:164–7. pmid:23923331
  45. 45. Quintero J, Brochero H, Manrique-Saide P, Barrera-Perez M, Basso C, Romero S, et al. Ecological, biological and social dimensions of dengue vector breeding in five urban settings of Latin America: a multi-country study. BMC Infectious Diseases. 2014;14:38. pmid:24447796
  46. 46. Hernandez-Avila JE, Rodriguez M-H, Santos-Luna R, Sanchez-Casta'eda V, Roman-Perez S, Rios-Salgado VH, et al. Nation-Wide, Web-Based, Geographic Information System for the Integrated Surveillance and Control of Dengue Fever in Mexico. PLoS ONE. 2013;8:e70231. pmid:23936394
  47. 47. Vazquez-Prokopec GM, Galvin WA, Kelly R, Kitron U. A new, cost- efective, battery-powered aspirator for adult mosquito collections. J Med Entomol. 2009;46:1256–9. pmid:19960668
  48. 48. Centers for Disease Control and Prevention (CDC). Guideline for Evaluating Insecticide Resistance in Vectors Using the CDC Bottle Bioassay. Atlanta, Georgia, USA; 2010. 56 pp.
  49. 49. Abbott W. S. A method for computing the effectiveness of an insecticide. J Econ Entomol. 1925;18:265–7.
  50. 50. WHO. Guidelines for laboratory and field testing of long-lasting insecticidal mosquito nets. Geneva: WHO/CDS/WHOPES/ GCDPP/2005.11; 2005.
  51. 51. Liebman K, Swamidoss I, Vizcaino L, Lenhart A, Dowell F, Wirtz R. The influence of diet on the use of near-infrared spectroscopy to determine the age of female Aedes aegypti mosquitoes. Am J Trop Med Hyg. 2015; 92:1070–5. pmid:25802436
  52. 52. Vanlerberghe V, Trongtokit Y, Cremonini L, Jirarojwatana S, Apiwathnasorn C, Van der Stuyft P. Residual insecticidal activity of long-lasting deltamethrin-treated curtains after 1 year of household use for dengue control. Trop Med Int Health. 2010.15:1067–71. pmid:20561312
  53. 53. Itoh T. Letters to the editors. Tropical Medicine and International Health. 2005;10:1321–6. pmid:16359414
  54. 54. Viana M, Hughes A, Matthiopoulos J, Ranson H, Ferguson HM. Delayed mortality effects cut the malaria transmission potential of insecticide-resistant mosquitoes. Proc Natl Acad Sci U S A. 2016;113:8975–80. pmid:27402740
  55. 55. Andriessen R, Snetselaar J, Suer RA, Osinga AJ, Deschietere J, Lyimo IN, et al. Electrostatic coating enhances bioavailability of insecticides and breaks pyrethroid resistance in mosquitoes. Proc Natl AcadSci U S A. 2015;112:12081–6.
  56. 56. Ngufor C, N'guessan R, Fagbohoun J, Odjo A, Malone D, Akogbeto M, et al. Olyset Duo (a pyriproxyfen and permethrin mixture net): an experimental hut trial against pyrethroid resistant Anopheles gambiae and Culexquinquefasciatus in Southern Benin. PLoS One. 2014;9:e93603. pmid:24699827
  57. 57. Knox TB, Juma EO, Ochomo EO, Pates Jamet H, Ndungo L, Chege P, et al. An online tool for mapping insecticide resistance in major Anopheles vectors of human malaria parasites and review of resistance status for the Afrotropical region. Parasit Vectors. 2014;7:76. pmid:24559061
  58. 58. Hemingway J, Ranson H, Magill A, Kolaczinski J, Fornadel C, Gimnig J, et al. Averting a malaria disaster: will insecticide resistance derail malaria control? Lancet. 2016;23;387 (10029):1785–8. pmid:26880124
  59. 59. Ranson H, N'Guessan R, Lines J, Moiroux N, Nkuni Z, Corbel V. Pyrethroid resistance in African anopheline mosquitoes: what are the implications for malaria control? Trends Parasitol. 2011;27: 91–8. pmid:20843745
  60. 60. WHO. Global plan for insecticide resistance management in malaria vectors. Geneva, Switzerland; 2012. 130 pp.
  61. 61. Strode C, Donegan S, Garner P, Enayati AA, Hemingway J. The impact of pyrethroid resistance on the efficacy of insecticide-treated bed nets against African Anopheline mosquitoes: systematic review and meta-analysis. PLoS Med. 2014;11(3):e1001619. pmid:24642791
  62. 62. Enayati AA, Hemingway J. Malaria Management: Past, present, and future. Annu Rev Entomol. 2010;55:569–91. pmid:19754246
  63. 63. Thomson H, Thomas S, Sellstrom E, Petticrew M. The health impacts of housing improvement: a systematic review of intervention studies from 1887 to 2007. Am J Public Health. 2009;99(Suppl 3):S681–92.
  64. 64. Stoddard ST, Forshey BM, Morrison AC, Paz-Soldan VA, Vazquez-Prokopec GM, Astete H, et al. House-to-house human movement drives dengue virus transmission. Proc Natl AcadSci U S A. 2013;110(3): 994–9.
  65. 65. Reiner RC Jr, Achee N, Barrera R, Burkot TR, Chadee DD, Devine GJ, et al. Quantifying the Epidemiological Impact of Vector Control on Dengue. PLoSNegl Trop Dis. 2016;10(5):e0004588.
  66. 66. Najera JA, Gonzalez-Silva M, Alonso PL. Some Lessons for the Future from the Global Malaria Eradication Programme (1955–1969). PLoS Med. 2011;8(1):e1000412. pmid:21311585
  67. 67. Vazquez-Prokopec GM, Kitron U, Montgomery B, Horne P, Ritchie SA. Quantifying the Spatial Dimension of Dengue Virus Epidemic Spread within a Tropical Urban Environment. PLoS Negl Trop Dis. 2010;4(12):e920. pmid:21200419
  68. 68. Vazquez-Prokopec GM, Montgomery BL, Horne P, Clennon JA, Ritchie SA. Combining contact tracing with targeted indoor residual spraying significantly reduces dengue transmission. Science Advances. 2017;3(2):e1602024. pmid:28232955