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Distribution and natural infection status of synantrophic triatomines (Hemiptera: Reduviidae), vectors of Trypanosoma cruzi, reveals new epidemiological scenarios for chagas disease in the Highlands of Colombia

Abstract

Introduction

Updating the distribution and natural infection status of triatomine bugs is critical for planning, prioritizing, and implementing strategies to control Chagas disease (CD), especially after vector reduction programs. After carrying out a control program, the Department of Boyaca contains the highest number of Colombian municipalities certified by PAHO to be free of intradomiciliary transmission of Trypanosoma cruzi by Rhodnius prolixus. The present work describes the spatial distribution, natural infection (NI), and molecular characterization of T. cruzi in synanthropic triatomines from the Department of Boyaca in 2017 and 2018.

Materials and methods

An entomological survey was conducted in 52 municipalities in Boyaca known to have had previous infestations of triatomine bugs. Insects were collected through active searches carried out by technical personnel from the Secretary of Health and community members using Triatomine Collection Stations (PITs-acronym in Spanish). For evaluation of natural infection, triatomines were identified morphologically and grouped in pools of one to five individuals of the same species collected in the same household. DNA derived from the feces of each pool of insects was analyzed by PCR for the presence of T. cruzi using primers flanking the satellite DNA of the parasite. SL-IR primers were used to differentiate TCI from the other DTUs and to identify different genotypes. The distribution of the collected triatomines was analyzed to determine any vector hotspots using spatial recreation.

Results

A total of 670 triatomine bugs was collected, belonging to five species: Triatoma dimidiata (73.2%), Triatoma venosa (16.7%), Panstrongylus geniculatus (5.7%), Rhodnius prolixus (4.4%), and Panstrongylus rufotuberculatus (0.4%), from 29 of the 52 municipalities. In total, 71.6% of the bugs were collected within houses (intradomiciliary) and the rest around the houses (peridomiciliary). Triatoma dimidiata was the most widely distributed species and had the highest natural infection index (37.8%), followed by T. venosa and P. geniculatus. TcI was the only DTU found, with the TcI Dom genotype identified in 80% of positive samples and TcI sylvatic in the other insects. Spatial analysis showed clusters of T. dimidiata and T. venosa in the northeast and southwest regions of Boyaca.

Conclusions

After some municipalities were certified free of natural transmission within houses (intradomiciliary transmission) of T. cruzi by R. prolixus, T. dimidiata has become the most prevalent vector present, and represents a significant risk of resurgent CD transmission. However, T. venosa, P. geniculatus, and P. rufotuberculatus also contribute to the increased risk of transmission. The presence of residual R. prolixus may undo the successes achieved through vector elimination programs. The molecular and spatial analysis used here allows us to identify areas with an ongoing threat of parasite transmission and improve entomological surveillance strategies.

Author summary

Chagas disease is one of the most important tropical diseases in the Americas. Since 2010, Colombia has implemented programs to interrupt the intradomiciliary transmission of T. cruzi by R. prolixus, Colombia’s primary vector. Boyaca, located in this country’s central region, is one of the most endemic departments for Chagas disease. Control measures have been implemented, and the intradomiciliary transmission of T. cruzi by R. prolixus has been significantly reduced in 24 municipalities, according to PAHO certifications. Currently, the main risks in these certified municipalities are the presence of secondary vectors and certain ecological conditions favorable to triatomines. In the present study, we provide evidence that T. dimidiata and T. venosa have become the most common species. We observed a cluster of these infected species in the northeast and southwest regions of Boyaca. P. geniculatus and P. rufotuberculatus were present but less abundant, and residual R. prolixus populations remain in some certified-free municipalities. The overall natural infection index of secondary vectors was 31%, and spatial analysis identified priority areas for implementing surveillance and control actions. We identified T. cruzi in municipalities above 2,000 meters above sea level, which traditionally are considered non-endemic regions in Colombia. This suggested new epidemiological scenarios for Chagas disease transmission in Colombia’s highlands and requires more studies to examine these scenarios.

Introduction

Triatomines (Hemiptera: Reduviidae) are hematophagous insects that play an essential role as vectors of Trypanosoma cruzi, the causative agent of Chagas Disease (CD), which is considered the most important anthropozoonotic infection in Latin America [1]. The parasite T. cruzi presents tremendous genetic diversity and has been divided into six discrete typing units (DTUs, TcI to TcVI) [2], and other genotypes found in bats designed as TcBat [3]. Although the circulation of all DTUs has been described in Colombia, TcI is the most widely distributed DTU in this country [4], and which is then subdivided into two major genotypes associated with transmission cycles; domestic (TcI Dom) and sylvatic (TcI sylvatic) [5,6].

The subfamily Triatominae comprises five tribes, 18 genera, and 154 described species, of which the genera Triatoma, Rhodnius, and Panstrongylus contain the main vectors of T. cruzi to humans [7]. In Colombia, 26 triatomine species have been reported, and Rhodnius prolixus is considered the most important vector due to its infestation indices, high natural prevalence of infection and vectorial capacity [8,9], and its preference to live in human houses. This species has been the main target of vector control programs in Colombia, whose efforts have resulted in the interruption of within household (intradomiciliary) transmission of T. cruzi by R. prolixus in 63 municipalities in 6 departments [911]. However, other invasive species of the genus Triatoma and Panstrongylus have gained importance in recent years due to their presence in homes, natural infection rates with T. cruzi, and incrimination as vectors [1214].

Colombia has a wide distribution of triatomine bugs reported from 465 municipalities, 95% of which are located below 2,000 meters above sea level (masl), and which are considered endemic for Chagas disease [15,16]. However, T. cruzi-infected secondary species, such as Triatoma dimidiata and Panstrongylus geniculatus, have been found in municipalities from not endemic areas in the departments of Boyaca, Santander, and Cundinamarca suggesting changes in Chagas disease epidemiology [9,17]. Nonetheless, the entomological indices related to the risk of transmission are still unknown for these highland zones. A similar situation has been described in other Andean countries, such as Ecuador, Peru, and Bolivia, where the secondary and sylvatic vectors, Panstrongylus rufotuberculatus and P. geniculatus that were initially restricted to the Amazon basin have been reported to colonize zones located between 2,000 to 3,300 m.a.s.l. [1823].

The department of Boyaca, located in the center of the country, on the eastern Andean region, has 24 municipalities certified free from intradomiciliary transmission of T. cruzi by R. prolixus, making it the department with the largest number of certified T. cruzi-free cities in Colombia [10,11]. Nine triatomine species have been described, in Boyaca, of which five (T. dimidiata, T. venosa, P. geniculatus, P. rufotuberculatus, and Rhodnius pictipes) have been found infected with T. cruzi. This represents a risk of transmission in the municipalities where they are found [8,17]. Recently, CD cases have been reported in areas of Boyaca that do not have R. prolixus and likely involves secondary species. These reports identify the need to update entomological surveillance to include these other vectors after the successes of interruption programs to reduce intradomiciliary transmission of CD [13]. The present study aimed to analyze the spatial distribution, natural infection (NI), and molecular characterization of T. cruzi in synanthropic triatomines from Boyaca between 2017 and 2018.

Results

Collection of triatominae

A total of 670 triatomines belonging to five species (T. dimidiata, T. venosa, P. geniculatus, R. prolixus, and P. rufotuberculatus) were collected in 29 of 52 municipalities studied. Triatomines were found in 21 of 26 municipalities using active searches, but were found in only 8 of 26 (30,7%) municipalities where PITS were installed (Table 1).

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Table 1. Entomological indexes in municipalities from Boyaca, from March 2017 to November 2018.

https://doi.org/10.1371/journal.pntd.0009574.t001

However, 19 of 24 municipalities that had been certified free of intradomiciliary transmission of T. cruzi by R. prolixus had triatomines (Table 1). The total distributions of these insects were: T. dimidiata (73.2%, 491/670), T. venosa (16.7%, 112/670), P. geniculatus (5.7%, 34/670), R. prolixus (4.4%, 30/670), and P. rufotuberculatus (0.4%, 3/670) (Table 1 and Fig 1). Of all the triatomines collected, 23.1% (155/670) were obtained in 2017 and 76.9% (515/670) in 2018. Of these, 65.2% (437/670) were adults, of which 71.4% (312/437) were found inside houses. Of the nymphs collected, 71.6% (167/233) were collected inside homes and the rest in peridomicile areas.

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Fig 1. Distributions of triatomines collected in the 29 infested municipalities in Boyaca Department (Colombia) between 2017 and 2018.

Grayscale box represent the altitudinal ranges (m.a.s.l.). Yellow circle - T. dimidiata, red circle - T. venosa, orange circle - P. geniculatus, blue circle - R. prolixus and green circle - P. rufotuberculatus. Altitude ranges are illustrated in grayscale. 1-Boavita, 2-Covarachia, 3-San Mateo, 4-Sativa Norte, 5-Soata, 6-Susacon, 7-Tipacoque, 8-Cubara, 9-El Espino, 10-Guacamayas, 11-Panqueba, 12-Zetaquira, 13-Miraflores, 14-Garagoa, 15-Pachavita, 16-Chinavita, 17-Sutatenza, 18-Tenza, 19-Guateque, 20- La Capilla, 21-Socota, 22-Briceño, 23-La Victoria, 24-Maripi, 25-San Pablo de Borbur, 26-Labranza Grande, 27-Paya, 28-Chirataque, 29-San Jose de Pare. The size of circles corresponds to number of triatomines recollected. Big circles more than 100 and small circles less than 100. The map was built using the free and open source QGIS software version 3.4 (https://www.qgis.org/en/site/forusers/download.html) and shapefiles were obtained from the free and open source DIVA-GIS site (https://www.diva-gis.org/gdata).

https://doi.org/10.1371/journal.pntd.0009574.g001

Geographical distribution of triatomines

The most commonly collected species, T. dimidiata and T. venosa, were present in 44.8% (13/29) and 41.3% (12/29) respectively of the municipalities where triatomines were collected (Table 2). Triatoma dimidiata was found mainly in northwest provinces (Norte, Gutierrez, and Valderrama), in 50% (12/24) of the municipalities that had been certified to be free of intradomiciliary transmission of T. cruzi by R. prolixus (Table 2). Fifty-eight percent (285/491) of collected insects were adults, and the rest were nymphs. These were collected between 982 and 2,608 m.a.s.l. (Tables 1 and 2). Triatoma venosa was found mainly in southwest provinces (Lengupa, Neira, and Oriente), and present in 29.1% (7/24) of the municipalities certified free of R. prolixus (Table 1), with 83% (93/112) of individuals collected being adults and the rest were nymphs. T. venosa was found at altitudes 1,355 to 1,995 m.a.s.l. (Tables 1 and 2 and Fig 1).

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Table 2. T. cruzi infection rates evaluated in triatomines collected in the 29 infested municipalities in Boyaca department (Colombia), from March 2017 to November 2018.

https://doi.org/10.1371/journal.pntd.0009574.t002

Panstrongylus geniculatus, R. prolixus, and P. rufotuberculatus were found in 34.4% (10/29), 10.3% (3/29), and 6.8% (2/29) of the infested municipalities, respectively, and at levels of 29.1% (7/24), 8.3% (2/24) and 4.1% (1/24) in municipalities certified to be free of intradomiciliary transmission by R. prolixus. The altitudinal range of these species was 677 to 2,487 m.a.s.l., 356 to 1,114 m.a.s.l., and 1,272 to 1,513 m.a.s.l., respectively (Tables 1 and 2 and Figs 1 and S1).

We found municipalities with concurrent infestations by two or three triatomine species. For instance, the presence of T. dimidiata and P. geniculatus (San Mateo, Sativa Norte, Soata and Susacon), T. venosa and P. geniculatus (Zetaquira), P. geniculatus and P. rufotuberculatus (Maripi), T. dimidiata¸ R. prolixus and P. geniculatus (Labranzagrande, Paya), T. venosa, P. geniculatus and P. rufotuberculatus (Miraflores) were observed (Table 2 and Fig 1).

Entomological indices

The overall indices for all municipalities were an infestation index (1.6%), colonization index (41.25), density index (0.04), and crowding index (1.8) (Table 1 and Fig 2). The highest infestation indices were found in the municipality of Soata (18.3%), Miraflores (14.6%), Susacon (7.7%), San Mateo (5.5%), and Panqueba (4%) municipalities (χ2 = 943.6; P < 0.05, df = 19), while the highest colonization index was found in Socota (100%), Paya (100%), Cubara (66.6%) and Soata (50%) (χ2 = 47.1; P < 0.05, df = 15), indicating that infestation rates and colonization indices throughout the municipalities are not homogeneous (Fig 2). The highest density indexes were found in Soata (0.42), Miraflores (0.15), and Cubara (0.11), while the highest crowding indexes were detected only in Cubara (8.3), Chinavita (8.0), and Soata (2.3) (Table 1 and Fig 2). In general, 72.6% (487/670) and 19.8% (133/670) of triatomine bugs were collected in the intradomicile and peridomicile areas, respectively, while the rest couldn’t be assigned to a specific ecotope (Table 3). The species with the highest relative frequency inside houses were T. dimidiata (73.1%, 356/487), followed by T. venosa (16.4%, 80/487), R. prolixus (6.1%, 30/487), P. geniculatus (3.9%, 19/487), and P. rufotuberculatus (0.4%, 2/487). Meanwhile, T. dimidiata was the most commonly collected species in peridomicile areas (81.9%, 109/133), followed by T. venosa (9.0%, 12/133) and R. prolixus (9.0%, 12/133).

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Table 3. T. cruzi infection rates evaluated in the triatomine species collected in intra- or peridomiciles in the 29 infested municipalities (Boyaca department, Colombia), from March 2017 to November 2018.

NT (Number of Triatomines)

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Fig 2. Geographical distribution of Triatomine Infestation indices in Boyaca department of Colombia, from March 2017 to November 2018.

The map was built using the free and open source QGIS software version 3.4 (https://www.qgis.org/en/site/forusers/download.html) and shapefiles were obtained from the free and open source DIVA-GIS site (https://www.diva-gis.org/gdata).

https://doi.org/10.1371/journal.pntd.0009574.g002

Natural infection and ecotopes

A total of 406 triatomine pools were analyzed for T. cruzi infection, of which 73% (296/406), 17.7% (72/406), 6.1% (25/406), 2.4% (10/406), and 0.7% (3/406) correspond to T. dimidiata, T. venosa, P. geniculatus, R. prolixus, and P. rufotuberculatus, respectively. The overall natural infection index was 31% (126/406), with the highest values in peridomicile (32.8%; 24/73) compared to intradomicile (29.4%; 88/300) (χ2 = 0.35; P > 0.05, df = 1) (Table 3). At the species level, the highest infection index was found in T. dimidiata (37.8%; 112/296), followed by P. geniculatus (36%, 9/25), P. rufotuberculatus (33.3%, 1/3), and T. venosa (5.5%; 4/72), respectively (χ2 = 33.3; P < 0.05, df = 3). Interestingly, pools obtained from R. prolixus were not positive for T. cruzi infection. There were no significant differences in the infection indexes between each species’ ecotopes (Table 3 and S1 Fig). The 188pb fragment was amplified in all PCR-negative samples, and inhibitors were not found.

Genotyping of T. cruzi

Only TcI was found, and both genotypes (TcI Dom and TcI sylvatic) were detected (S2A and S2B Fig). 80% (49/61) of the analyzed sequences belonged to TcI Dom and 20% (12/61) to TcI sylvatic. 85% of the sample sequences from T. dimidiata corresponded to TcI Dom, while the rest was TcI sylvatic. Regarding P. geniculatus, an equal number of samples were TcIDom and TcI sylvatic (50% (3/6) each), and the sequences obtained from P. rufotuberculatus belong to the TcI sylvatic. We did not find a mixture of both genotypes. Geographically, TcI sylvatic was only located in Soata, El Espino, and Miraflores, while TcI Dom was present in eight municipalities (S2A and S2B Fig).

Local indicators for spatial association

According to the global Moran´s Rate, there was a statistically significant spatial autocorrelation between triatomine distribution/infection indices (I = 0.467; ≤ 0.05). The valvules obtained from the univariate Local Moran’s index demonstrated a positive or direct spatial autocorrelation of T. dimidiata (I = 0.140; p-value ≤ 0.05), T. venosa (I = 0.312; p-value ≤ 0.05) (Fig 3A and 3B), infection index (I = 0.135; p-value ≤ 0.05) and infestation index (I = 0.118; p-value ≤ 0.05) (Fig 3D and 3E). On the other hand, in relation to the genotypes, a spatial dependence was observed only in the distribution of TcI Dom (I = 0.240; p-value ≤ 0.05) (Fig 3C). P. geniculatus (I = 0.04; p-value ≤ 0.05), R. prolixus (I = -0.0039; p-value ≤ 0.05) and P. rufotuberculatus (I = -0.017; p-value ≤ 0.05) did not occur in clusters. Moreover, the distribution of T. dimidiata (I = 0.251; p-value ≤ 0.05), T. venosa (I = 0.155; p-value ≤ 0.05) and TcI Dom (I = 0.288; p-value ≤ 0.05) (Fig 3F, 3G and 3H), were correlated with relief by bivariate Local Moran indices.

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Fig 3.

Maps of the index of correlation of univarite local Moran´s I in the distribution of: A. T. dimidiata, B. T. venosa, C. TcI Dom, D, Infection index, and E. Infestation index. Bivariate local Moran´s I between: F. T. dimidiata/relief, G. T. venosa/ relief and H TcIDom/ relief. Boyaca department between 2017 and 2018. The map was built using the free and open source QGIS software version 3.4 (https://www.qgis.org/en/site/forusers/download.html) and shapefiles were obtained from the free and open source DIVA-GIS site (https://www.diva-gis.org/gdata).

https://doi.org/10.1371/journal.pntd.0009574.g003

Materials and methods

Ethics statement

Ethical approval (Act No 113 of 2017) for analyzing animal species was obtained from the Antioquia University’s animal ethics committee. All infested houses were sprayed with insecticide by SHB for the elimination of triatomine bugs.

Study area

Boyaca is located in the center of Colombia, in the Andes: 04°39’10" and 07°03’17" North, 71°57’49" and 74° 41’35" West. This department is made up of 123 municipalities, which are divided into 13 provinces: Centro, Gutierrez, Lengupa, Libertad, Marquez, Neira, Norte, Occidente, Oriente, Ricaurte, Sugamuxi, Tundama, and Valderrama. The topography of this area, shaped by the eastern mountains, determines the presence of diverse landscapes and climatic conditions, from highlands (paramos) to hot climate areas (located less than 500 m.a.s.l.). This department has a mean annual temperature range of 22°C to 9.7°C and a mean annual rainfall of 645 mm. This study was carried out between March 2017 and November 2018 in 52 municipalities in nine provinces with a prior history of infestation with triatomines, according to the Boyaca Department Health Service (BDHS) (Table 1).

Triatomine collection and processing

The 52 municipalities with historical reports of triatomine bugs in the department of Boyaca were divided into two groups: the first consisted of 24 municipalities certified to be free of intradomiciliary transmission of T. cruzi by R. prolixus in 2010 and 2017, and those that during the study period were developing activities to obtain the certification in 2019 [10,11]. Cubara and Maripi municipalities were included in this group even though they were not certified but had recent reports of R. prolixus (Table 1). For this group, one entomological sampling per year was carried out through active searches in the urban and rural areas of each municipality by trained agents from the Boyaca Department Health Service (BDHS) vector control program following the National Protocols of Entomological Surveillance [17]. In brief, synanthropic triatomines were sought in indoor and outdoor ecotopes for 30 min each; flashlights were used to look into cracks and crevices throughout the fabric of buildings walls, behind pictures of the walls, behind furniture, in closets, and especially, under bedding material. In addition, BDHS health workers left plastic pots in which householders were asked to collect any triatomines that they found. These insects were brought by householders to the Triatomine Recollection Stations (PITs-acronym in Spanish) established by BDHS to monitor the presence of triatomines. A total of 20,529 households were visited once every year during the study period (Table 1).

The second group consisted of the 26 remaining municipalities, where only the regular community surveillance was carried out (Table 1). Insects were collected in intradomicile and peridomicile environments by residents who sent them to the PITs of each municipality. All entomological samples sent to the PITS from all the municipalities were placed inside plastic containers labeled with the date, municipality, and site of collection (peridomicile or intradomicile), and then transported to the departmental public health laboratory where insects were identified using taxonomic keys [24].

DNA extraction

Specimens were grouped into pools of one to five individuals based on their species and household of collection. For each pool, we dissected triatomines in a biological safety cabinet to avoid contamination. The feces were diluted in 300 μL of sterile PBS pH 7.2 and were used for DNA extractions. Genomic DNA was extracted from 200 μL of feces using the Genomic DNA purification kit (DNeasy Blood & Tissue kit Qiagen, Germantown, USA) following the manufacturer’s instructions.

Molecular detection of T. cruzi infection

All DNA preparations were screened for the presence of T. cruzi using a conventional PCR targeting satellite DNA [25,26]. The PCR was performed in a final volume of 25 μL containing 40–50 ng of genomic DNA, 1X of buffer, 0.04 mM of dNTP, 1.5 mM MgCl2, 0.4 μM of each primer (TCZ1 and TCZ2), and 0.05 U of Taq polymerase (Invitrogen, California, USA). The thermal cycling conditions were as follows: pre-heating at 95°C for 15 min, 40 cycles at 95°C for 10 s, 55°C for 15 s, and 72°C for 10 s in a thermal cycler [25]. Amplification products were electrophoresed on a 1.5% agarose gel stained by ethidium bromide and visualized under UV light. Samples were considered positive for T. cruzi when a band of 188 bp was observed in the gel.

Molecular characterization of T. cruzi

Positive T. cruzi samples were analyzed for molecular discrimination of TcI DTU of the other DTUs based on the amplification of the spliced leader intergenic region (SL-IR) gene using the primers TCC, TC1, and TC2, as previously reported [27,28]. The PCR was performed in a final volume of 25 μL containing 40–50 ng of genomic DNA, 1X of a buffer, 0.25 mM of dNTP, 2 mM MgCl2, 0.4 μM of each primer, and 0.05 U of Taq polymerase (Invitrogen, California, USA). The thermal cycling conditions were as follows: pre-heating at 94°C for 5 min, 35 cycles at 94°C for 30 s, 55°C for 30 s, and 72°C for 45 s in a thermal cycler, and a final extension at 72°C for 5 min. We also used part (PCR directed to the SL-IR region only) of the algorithm implemented by Hernández et al. [29]. Amplification products were run on a 1.5% agarose gel, stained by ethidium bromide, and visualized under UV light. TcI was identified in the samples when a band of 350 bp was observed in the gel. For TcI positive samples, SL-IR PCR products were purified and sequenced at the Macrogen sequencing service, Seoul, South Korea. All nucleotide sequences were edited and aligned using CLUSTALW as implemented in BioEdit v.7.1.9 [30], and the microsatellite motif of the spliced leader gene (positions ranking between ~14 to ~40) was omitted as suggested [31]. The highest nucleotide identity value of the sequences based on optimal global pairwise alignments of each SL-RI sequence against reference strains reported for Colombia [5] was calculated in BioEdit v.7.1.9 [30].

Detection of PCR inhibition

The presence of PCR inhibitors was examined in PCR-negative feces. In brief, 1 μL of DNA from negative feces were mixed with 10 ng of DNA from the Gal 61 T. cruzi strain in the same reaction tube to reference the amplification of satellite DNA of T. cruzi, as described above. The PCR was considered as inhibited when the 188 bp fragment was not detected in the gel.

Data analysis

To estimate the risk of infection, the following entomological indices were determined in the municipalities of group one: the infestation index (number of houses infested by triatomines / number of houses examined x 100); the colonization index (houses with triatomine nymphs/number of houses positive for triatomine × 100), the density index (number of triatomines captured / number of houses examined); the crowding index (number of triatomines captured / number of houses with triatomines) and natural infection index (number of infected pools/ total number of analyzed pools x 100) according to WHO (2010) [32]. Proportional comparisons were performed using the Chi-square test (χ2) with a P < 0.05considered as significant. Data analyses were performed using SPSS v.18.0 statistical software.

Geospatial analysis

For the map construction of the distribution of the triatomines, points of the samples localization were visualized in a Geographic Information System (GIS) in the Quantum GIS software version 3.4 Madeira (https://www.qgis.org/en/site/forusers/download.html), using the continental, national, and State boundaries (Shapefiles), extracted from the free and open source DIVA-GIS site (https://www.diva-gis.org/gdata). Coordinates were recorded from the WGS 84 Datum (World Geodetic System 1984) geodetic coordinate system. Mapping of the triatomine distribution in the urban and rural area of the 29 municipalities was done from the study area. For this, the relative distribution of the collected and examined triatomine species, infection index, infestation index, and TcI Dom genotype and sylvatic distribution indicate the total number of the collected and examined specimens, whereas pies display the percentage of collected and examined species. The spatial data were analyzed in a Geographic Information System (GIS) platform using the open-source (Quantum GIS) QGIS (v.3.4 Madeira), a free and open-source geographic information system software.

Local indicators for the spatial association: potential clusters of the distribution of Triatomine species, infestation and infection indices

The Global Moran’s I index was calculated to verify spatial autocorrelations between the distribution of triatomine species, infection indices, and infestation indices to identify transmission hotspot areas. To identify localized clusters, the local Moran’s I index was calculated. For the univariate Local Moran (five species of triatomine: T. dimidiata, T. venosa, P. geniculatus, R. prolixus, and P. rufotuberculatus; T. cruzi infection index and infestation index) bivariate (five species of triatomine, T. cruzi infection, genotypes, and infestation index x relief), defined the neighborhood matrix using the weights manager tool. The criterion adopted was the queen-type contiguity, with 1 value order of contiguity. Regions with common borders were considered neighboring. To index value significance demonstration, ie, the index value was not randomly obtained, the pseudo-significance test was performed with 999 permutations, and the 0.05 p-value was adopted. In this context, the Moran’s I index tests the null hypothesis of spatial independence in the entire area (Moran’s I = 0), generating a global I value potentially varying from −1 to +1: negative values indicate an inverse correlation (dispersion) while positive values suggest a direct correlation (clustering) [33,34]. Local Moran’s I analysis was performed to determine local spatial association patterns. In addition to showing the dispersion diagram, as in IGM, the local index produces significance and cluster maps to determine the presence, or not, of spatial dependence. The Local and Global Moran’s indices were calculated using GeoDa software (1.12) (GeoDa Center for Geospatial Analysis and Computation, Arizona State University, Tempe, AZ, USA).

Discussion

After 24 municipalities in Boyaca were certified by PAHO to be free from intradomiciliary transmission of T. cruzi through programs aimed to eliminate R. prolixus [10,11,35], we carried out an entomological survey to characterize the spatial distribution of secondary vectors found inside household units (intra-and peridomiciliary environments) in this area. The potential risk of T. cruzi transmission by secondary vectors in municipalities located above 2,000 m.a.s.l. constitutes a new scenario that must be included in regional CD elimination programs. The entomological, molecular, and spatial analyses revealed that T. dimidiata and T. venosa are the most abundant vectors with clustered distributions. Residual populations of R. prolixus in these municipalities certified by the PAHO indicate that the vector elimination programs must be strengthened and continued. The distribution of species, their role as vectors of T. cruzi, and infestation and infection indexes will allow us to identify priority areas for subsequent surveillance and control measures.

Triatoma dimidiata has traditionally been considered a vector of secondary importance in Colombia [9,36]. However, recent studies in areas certified by PAHO to be free of intradomiciliary transmission of T. cruzi by R. prolixus that the epidemiological importance of this species in parasite transmission may be increasing. Triatoma dimidiata was the most common (73.2%), most widely distributed (44.8%), and showed the highest levels of prevalence (37.8%) of triatomine species collected in Boyaca 2017 and 2018 (Fig 1 and Table 2). This species has moved into houses; 72.5% of specimens were collected inside homes, and it has high colonization and crowding indices in the northeast provinces (Norte, Gutierrez, and Valderrama). These data are supported by similar entomological indices reported in Capitanejo and Macaravita (Santander); and Soata and Tipacoque (Boyaca) between 2006 and 2008, using the same methodologies [37]. Finally, the spatial analysis showed that this species has a clustered distribution in the northeast (Norte province), and contributes to T. cruzi transmission (S1B Fig). Triatoma dimidiata is a species with major epidemiological importance in Mexico, Central America, Ecuador, and some departments of Colombia [3842]. Moreover, an essential epidemiological role for this species has been reported in Guatemala and Nicaragua, where it has maintained T. cruzi transmission after R. prolixus eliminating [43].

Triatoma dimidiata is distributed throughout eleven countries and has been reported from a wide range of altitudes, ranging from 0 to 3,100 m.a.s.l. [23]. Most reports of T. dimidiata from Central America and Ecuador are from areas located below 1,800 m.a.s.l. [23,44]. Our survey and spatial analysis results suggest that a different situation seems to exist in Colombia because this species is of epidemiological importance in municipalities located above 2,000 m.a.s.l. Other authors have reported the infection of T. dimidiata with Trypanosoma spp. and T. cruzi in municipalities in Boyaca, Cundinamarca, and Santander located above this altitudinal range [9,17]. Our results indicate that T. dimidiata could become established as a major intradomiciliary vector of T. cruzi, but further studies must evaluate T. cruzi transmission to humans in these highland areas.

Triatoma venosa has been considered a secondary vector species in Colombia due to the frequency with which they are reported inside home dwellings and peridomicile areas [17]. This sylvatic vector is principally distributed in the Andean region at altitudes between 125 to 2,700m.a.s.l. [23]. It has been recorded in eight departments and 87 municipalities where it has been related to acute outbreaks of CD [9,17]. Here, we show that T. venosa is the second most widely distributed triatomine with natural infection of 5.5%, and with a cluster in their distribution in southwest provinces: Lengupa, Neira, and Oriente (Fig 3). In our study, 17% of T. venosa collected were nymphs, and 71.4% were collected in intradomiciliary areas. Considering that previously ecoepidemiological studies in Boavita (Boyaca) showed high mobility of species between peridomicile and intradomiciliary environments [45], the results in the current study could be a consequence of T. venosa mobility in the peridomicile area or a result of a peculiar domiciliation of this triatomine species in this department [9,17]. Therefore, we suggest that both scenarios should be explored.

Panstrongylus geniculatus has been considered recently as a relevant vector for T. cruzi due to its geographic distribution, its record of domiciliation, and association with outbreaks of oral T. cruzi infections in Colombia and Venezuela [2022]. This species, reported in 18 countries, has a wide altitudinal range of 0 to 3,842 m.a.s.l. [23]. Here, we report its presence in ten municipalities in Boyaca, three of which are located above 2,000 m.a.s.l. and found this species infected with T. cruzi. However, we did not find a clustered distribution [9,17]. The overall prevalence of infection in this species was 36% (S1C Fig), which was lower than that detected in other endemic areas of Colombia (58.8%) [23]. Molecular genetics studies of the population of P. geniculatus showed that this species has a monophyletic origin and contains four clades with no eco-epidemiological differences between them [46]. In this sense, the population found in Boyaca could have the same epidemiological relevance as Venezuela or other Colombian regions where this species has been involved in oral transmission outbreaks [46].

TcI was the only DTU found in P. geniculatus. These results are contrary to reports in different Colombia regions, where P. geniculatus was infected with TcI, TcII, TcIII, TcIV, and TcV [14, 47,48]. These differences could be related to this species’ blood-meal source in the other departments, where its capacity to adapt to different food sources has been reported [14]. Finally, the presence of both genotypes of TcI in this species suggests its role in transporting wild populations of the parasite into houses [13,49].

Panstrongylus rufotuberculatus is considered a sylvatic vector in Colombia, where it is present in eight departments and 26 municipalities [9,17]. This species is found in intradomiciliary and peridomiciliary areas in the lowland areas and above 3,600 m.a.s.l. in Bolivia [22]. P. rufotuberculatus has been incriminated as a CD vector in the Andean and coastal regions of Ecuador [50]. In contrast, in Colombia, it has been considered a major epidemiological risk factor in Amalfi (Antioquia), where it was reported as the second most common triatomine caught inside dwellings [51]. Here we report the presence of P. rufotuberculatus in two municipalities from the study area. However, this species has been reported in this department’s other six cities (S1E Fig) [9,17]. These results, including its high infection rate and its exclusive detection inside homes, suggest a high potential transmission risk in municipalities where this vector is present. As far as we know, this is the first time that TcI genotypes of T. cruzi have been identified in P. rufotuberculatus, showing its participation in the sylvatic cycle.

Rhodnius prolixus has been considered for many years to be the most important vector of T. cruzi in Colombia. This species was introduced accidentally into Boyaca and has been reported in 26 municipalities of this department between 2002 to 2014 [17]. Here we show its presence in 10.3% of the cities (Cubara, Labranzagrande, and Paya), supporting the data on the success of control programs and the virtual elimination of this species. However, the vector’s presence in two municipalities (Labranzagrande and Paya) that had been certified free of R. prolixus-transmitted T. cruzi endangers the overall success of CD control programs. Although R. prolixus in this study were not infected with T. cruzi, the high crowding index detected in municipalities where this was the only species found (Cubara) (Tables 1 and 2 and S1D Fig) demonstrates the remarkable capacity of this species to colonize and establish intradomiciliary populations in this region of Colombia [8]. Reinforcing insecticide spraying and vector surveillance in these municipalities are necessary to prevent vectorial transmission of T. cruzi in cities where residual populations of this vector were detected.

In Colombia, municipalities located at heights above 2,000 m.a.s.l. have traditionally been considered as non-endemic for CD [15,16]. The national protocol for entomological surveillance and vector control of CD suggests continued surveillance to identify triatomine vectors in areas below the 2,300 m.a.s.l. [52]. However, we found populations of T. dimidiata and P. geniculatus infected with T. cruzi in municipalities located higher than the cut-off altitude. The entomological indices and the presence of TcI Dom suggest a regular domestic cycle in these municipalities. We suggest expanding the altitudinal range to improve our understanding of the true entomological range of these vectors and future research to determine intradomiciliary transmission above 2,000 m.a.s.l. in Colombia. The presence of triatomines in highland municipalities may be related to climate change, as suggested for other triatomine species [5355]. Further research about climate change effects should be studied for this species.

Several limitations of the present study should be acknowledged, including (i) we could not carry out an active search in all the municipalities with a history of triatomine infestation, thus preventing comparisons and homogeneous sampling (ii) the differences in triatomine collections between 2017 and 2018 were affected by administrative problems that did not allow the early incorporation of health workers of BDHS, affecting the number of operational personnel to collect insects and the activation of PRT. (iii) The blood sources of synanthropic triatomines have not yet been evaluated, and future trials should be carried out to understand the risk and contact events between triatomines and residents. (iv) The present work was not accompanied by a seroprevalence study of the residents whose homes we collected T. cruzi positive insects. Even though BDHS has carried out screenings in school children under eight years of age at the municipality level, there are no data from residents outside the school ages. New serological studies targeted towards residents of infested homes should be carried out to have a broader picture of the secondary vectors’ risk. Finally, further studies are needed in these municipalities to determine seasonal variations in the abundance of secondary vectors to prioritize the effectiveness of control programs.

The interruption of intradomiciliary T. cruzi transmission by R. prolixus in some areas of Colombia has been a major advance in CD control. However, this is an anthropozoonotic disease with transmission carried out by many vector species. The sustainability of successful management programs requires continuous evaluations of entomological data of all vectors that could exploit the available niche after the elimination of common triatomines such as R. prolixus. A sustained surveillance program is essential pre and post primary vector eradication efforts.

Supporting information

S1 Fig. Geographical distribution triatomine and infection by species Boyaca department of Colombia.

T. dimidiata (A), T. venosa (B), P. geniculatus (C), P. rufotuberculatus (D) and R. prolixus (E) from March 2017 to November 2018. The map was built using the free and open source QGIS software version 3.4 (https://www.qgis.org/en/site/forusers/download.html) and shapefiles were obtained from the free and open source DIVA-GIS site (https://www.diva-gis.org/gdata).

https://doi.org/10.1371/journal.pntd.0009574.s001

(TIF)

S2 Fig. Geographical distribution of TcI DTU genotypes, in municipalities in Boyaca department (Colombia) between 2017 and 2018.

(A) TcIDom and TcI sylvatic. (B) TcIDom and TcI sylvatic by triatomines species. The map was built using the free and open source QGIS software version 3.4 (https://www.qgis.org/en/site/forusers/download.html) and shapefiles were obtained from the free and open source DIVA-GIS site (https://www.diva-gis.org/gdata).

https://doi.org/10.1371/journal.pntd.0009574.s002

(TIF)

Acknowledgments

This study was carried out thanks to the agreement No. 001088 of 2016 and 352 of 2018 signed between the Health Secretary of the Department of Boyacá, and the University of Antioquia (Biology and Control of Infectious Diseases Group, BCEI). To prof. Carl Lowenberger for the English edition.

References

  1. 1. PAHO/WHO. Annual Report of the Director 2019: Advancing the Sustainable Health Agenda for the Americas [Internet]. Pan American Health Organization; 2019 [cited 2020 Apr 5]. Available from: https://www.paho.org/en/news/30-9-2019-annual-report-director-2019-advancing-sustainable-health-agendaamericas.
  2. 2. Zingales B, Andrade SG, Briones MR, Campbell DA, Chiari E, Fernandes O, et al. A new consensus for Trypanosoma cruzi intraspecific nomenclature: second revision meeting recommends TcI to TcVI. Mem Inst Oswaldo Cruz. 2009;104(7):1051–1054. [pii]. pmid:20027478.
  3. 3. Ramirez JD, Hernandez C, Montilla M, Zambrano P, Florez AC, Parra E, et al. First report of human Trypanosoma cruzi infection attributed to TcBat genotype. Zoonoses Public Health. 2014;61(7):477–479. Epub 2014/10/07. pmid:25285940.
  4. 4. Guhl F, Ramirez JD. Retrospective molecular integrated epidemiology of Chagas disease in Colombia. Infect Genet Evol. 2013;20c:148–154. Epub 2013/09/10. pmid:24012949.
  5. 5. Cura CI, Mejía-Jaramillo AM, Duffy T, Burgos JM, Rodriguero M, Cardinal MV, et al. Trypanosoma cruzi I genotypes in different geographical regions and transmission cycles based on a microsatellite motif of the intergenic spacer of spliced-leader genes. Int J Parasitol. 2010;40(14):1599–1607. S0020-7519(10)00256-0 [pii] pmid:20670628; PubMed Central PMCID: PMC3081674.
  6. 6. Ramirez JD, Guhl F, Messenger LA, Lewis MD, Montilla M, Cucunuba Z, et al. Contemporary cryptic sexuality in Trypanosoma cruzi. Mol Ecol. 2012;21(17):4216–4226. Epub 2012/07/11. pmid:22774844.
  7. 7. Galvão C. Taxonomia dos Vetores da Doença de Chagas da Forma à Molécula, quase três séculos de história. In Atualidades em Medicina Tropical no Brazil: Vetores; Oliveira J., Alevi K.C.C., Camargo L.M.A., Meneguetti D.U.O., Eds.; Stricto Sensu: Rio Branco, Brazil, 2020; pp. 9–37
  8. 8. Sandoval CM, Pabon E, Jurberg J, Galvậo C. Belminus ferroae n. sp. from the Colombian north-east, with a key to the species of the genus (Hemiptera: Reduviidae: Triatominae). Zootaxa. 2007;1443:55–64.
  9. 9. Guhl F, Aguilera G, Pinto N, Vergara D. Updated geographical distribution and ecoepidemiology of the triatomine fauna (Reduviidae: Triatominae) in Colombia. Biomedica. 2007;27 Suppl 1:143–162. S0120-41572007000500016 [pii]. pmid:18154255.
  10. 10. Salud OPdela. Municipios de Colombia alcanzan interrupción de la transmisión vectorial intra domiciliaria de Trypanosoma cruzi. por R. prolixus 2013 http://www.paho.org/hq/index.php?option=com_content&view=article&id=8847:municipios-de-colombia-alcanzaninterrupcion-de-la-transmision-vectorial-intra-domiciliaria-de Trypanosoma-cruzi-por-R.prolixus&Itemid=40353&lang=en (accessed 3 May 2021)
  11. 11. PAHO/WHO. Evaluación Internacional de la situación epidemiológica y de control de Chagas en 34 Municipios de los departamentos de Arauca, Boyacá, Casanare, Norte Santander, Santander y Vichada, Colombia [Internet]. Bogotá: Ministerio de Salud de Colombia[cited 2019 Oct 4]. Available from: https://www.minsalud.gov.co/.
  12. 12. Tovar Acero C, Negrete Penata J, Gonzalez C, Leon C, Ortiz M, Chacon Pacheco J, et al. New Scenarios of Chagas Disease Transmission in Northern Colombia. J Parasitol Res. 2017;2017:3943215. Epub 2017/10/31. pmid:29082037; PubMed Central PMCID: PMC5634585.
  13. 13. Cantillo-Barraza O, Medina M, Zuluaga S, Valverde C, Motta C, Ladino A, et al. Eco-epidemiological study reveals the importance of Triatoma dimidiata in the Trypanosoma cruzi transmission, in a municipality certified without transmission by Rhodnius prolixus in Colombia. Acta Tropica. 2020:105550. pmid:32473116
  14. 14. Hernandez C, Salazar C, Brochero H, Teheran A, Buitrago LS, Vera M, et al. Untangling the transmission dynamics of primary and secondary vectors of Trypanosoma cruzi in Colombia: parasite infection, feeding sources and discrete typing units. Parasit Vectors. 2016;9(1):1–12. pmid:27903288; PubMed Central PMCID: PMC5131512.
  15. 15. Guhl F, Restrepo M, Angulo VM, Antunes CM, Campbell-Lendrum D, Davies CR. Lessons from a national survey of Chagas disease transmission risk in Colombia. Trends Parasitol. 2005;21(6):259–262. S1471-4922(05)00104-2 [pii] pmid:15922243.
  16. 16. Campbell-Lendrum DH, Angulo VM, Esteban L, Tarazona Z, Parra GJ, Restrepo M, et al. House-level risk factors for triatomine infestation in Colombia. Int J Epidemiol. 2007;36(4):866–872. dym065 [pii] pmid:17698884.
  17. 17. Parra GJ, Florez M, Angulo VM. Vigilancia de Triatominae (Hemiptera: Reduviidae) en Colombia. 1st ed., pp. 127. Bogotá D.C. Colombia. Editorial Sic Editorial Ltda; 2015.
  18. 18. Carcavallo RU, Casas SI, Sherlock ÍRDA, Girón IG, Jurberg J, Galvão C, et al. Geographical distribution and alti-latitudinal dispersion. Fiocruz; 1999.
  19. 19. Aguilar VHM, Abad-Franch F, Racines VJ, Paucar CA. Epidemiology of Chagas disease in Ecuador. A brief review. Mem Inst Oswaldo Cruz. 1999;94:387–393.
  20. 20. Abad-Franch F, Aguilar VHM. Control de la enfermedad de Chagas en el Ecuador. OPS/OMS-Ministerio de Salud Pública del Ecuador 70pp. 2003.
  21. 21. Cuba Cuba CA, Abad-Franch F, Roldán Rodríguez J, Vargas Vásquez F, Pollack Velásquez L, Miles MA. The triatomines of northern Peru, with emphasis on the ecology and infection by trypanosomes of Rhodnius ecuadoriensis (Triatominae). Mem Inst Oswaldo Cruz. 2002;97(2):175–183. pmid:12016438
  22. 22. Depickère S, Durán P, López R, Chávez T. Presence of intradomicile colonies of the triatomine bug Panstrongylus rufotuberculatus in Muñecas, La Paz, Bolivia. Acta tropica. 2011;117(2):97–100. pmid:20955680
  23. 23. Ceccarelli S, Balsalobre A, Medone P, Cano ME, Gonçalves RG, Feliciangeli D, et al. DataTri, a database of American triatomine species occurrence. Scientific data. 2018;5:180071. pmid:29688221
  24. 24. Lent H, Wigodzinsky P. Revision of the Triatominae (Hemiptera, Reduviidae) and their significance as vector of Chagas disease. Bulletin of the American Museum of Natural History 163:123–520.
  25. 25. Moser DR, Kirchhoff LV, Donelson JE. Detection of Trypanosoma cruzi by DNA amplification using the polymerase chain reaction. J Clin Microbiol. 1989;27(7):1477–1482. pmid:2504769; PubMed Central PMCID: PMC267598.
  26. 26. Ramírez JD, Guhl F, Rendón LM, Rosas F, Marin-Neto JA, Morillo CA. Chagas cardiomyopathy manifestations and Trypanosoma cruzi genotypes circulating in chronic Chagasic patients. PLoS Negl Trop Dis,2010. 4(11), e899. pmid:21152056
  27. 27. Souto RP, Fernandes O, Macedo AM, Campbell DA, Zingales B. DNA markers define two major phylogenetic lineages of Trypanosoma cruzi. Mol Biochem Parasitol. 1996;83(2):141–152. pmid:9027747.
  28. 28. Ramírez JD, Guhl F, Umezawa ES, Morillo CA, Rosas F, Marin-Neto JA, et al. Evaluation of adult chronic Chagas’ heart disease diagnosis by molecular and serological methods. J Clin Microbiol. 2009;47(12):3945–3951. JCM.01601-09 [pii] pmid:19846646; PubMed Central PMCID: PMC2786654.
  29. 29. Hernández C, Cucunubá Z, Flórez C, Olivera M, Valencia C, Zambrano P, et al. Molecular diagnosis of Chagas disease in Colombia: parasitic loads and discrete typing units in patients from acute and chronic phases. PLoS Negl Trop Dis. 2016;10(9):e0004997. pmid:27648938
  30. 30. Hall TA. BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucl Acids Symp Ser. 1999;41:95–98.
  31. 31. Tomasini N, Lauthier JJ, Monje MM, Ragone PG, Alberti AM, Perez C, et al. Interest and limitations of Spliced Leader Intergenic Region sequences for analyzing Trypanosoma cruzi I phylogenetic diversity in the Argentinean Chaco. Infect Genet Evol. 2011;11(2):300–307. pmid:21111067
  32. 32. WHO. Expert Committee on the Control of Chagas Disease, & World Health Organization. Technical Report No. 811. WHO. 1991.
  33. 33. Barbosa DS, Belo VS, Rangel MES, Werneck GL. Spatial analysis for identification of priority areas for surveillance and control in a visceral leishmaniasis endemic area in Brazil. Acta Tropica. 2014;131:56–62. pmid:24342506
  34. 34. Ribeiro G, Dos Santos CG, Lanza F, Reis J, Vaccarezza F, Diniz C, et al. Wide distribution of Trypanosoma cruzi-infected triatomines in the State of Bahia, Brazil. Parasites vectors. 2019;12(1):604. pmid:31878960
  35. 35. Minsalud.gov.co [Internet]. Diez municipios próximos a ser certificados como libres de transmisión de la enfermedad de Chagas;2013 [Cited 2013 07 Aug] Available from: http://www.minsalud.gov.co.
  36. 36. Parra-Henao G, Angulo VM, Osorio L, Jaramillo-O N. Geographic Distribution and Ecology of Triatoma dimidiata (Hemiptera: Reduviidae) in Colombia. J Med Entomol. 2016;53(1):122–129. Epub 2015/10/19. pmid:26487247.
  37. 37. Parra-Henao G, Cardona ÁS, Quirós-Gómez O, Angulo V, Alexander N. House-level risk factors for Triatoma dimidiata infestation in Colombia. The American journal of tropical medicine and hygiene, 2015. 92(1), 193–200. pmid:25349372
  38. 38. Dumonteil E, Gourbiére S. Predicting triatoma dimidiata abundance and infection rate: a risk map for natural transmission of chagas disease in the yucatan peninsula of Mexico. Am J Trop Med Hyg. 2004;70(5):514–519. 70/5/514 [pii]. pmid:15155983.
  39. 39. Barbu C, Dumonteil E, Gourbière S. Optimization of control strategies for non-domiciliated Triatoma dimidiata, Chagas disease vector in the Yucatán Peninsula, Mexico. PLoS Negl Trop Dis. 2009;3(4):e416. pmid:19365542; PubMed Central PMCID: PMC2664331.
  40. 40. Bargues MD, Klisiowicz DR, Gonzalez-Candelas F, Ramsey JM, Monroy C, Ponce C, et al. Phylogeography and genetic variation of Triatoma dimidiata, the main Chagas disease vector in Central America, and its position within the genus Triatoma. PLoS Negl Trop Dis. 2008;2(5):e233. pmid:18461141; PubMed Central PMCID: PMC2330091.
  41. 41. Lima-Cordón RA, Stevens L, Ortíz ES, Rodas GA, Castellanos S, Rodas A, et al. Implementation science: Epidemiology and feeding profiles of the Chagas vector Triatoma dimidiata prior to Ecohealth intervention for three locations in Central America. PLoS Negl Trop Dis. 2018;12(11):e0006952. pmid:30485265
  42. 42. Gómez-Palacio A, Triana O. Molecular evidence of demographic expansion of the chagas disease vector Triatoma dimidiata (Hemiptera, Reduviidae, Triatominae) in Colombia. PLoS Negl Trop Dis. 2014;8(3):e2734. pmid:24625572; PubMed Central PMCID: PMC3953067.
  43. 43. Hashimoto K, Cordon-Rosales C, Trampe R, Kawabata M. Impact of single and multiple residual sprayings of pyrethroid insecticides against Triatoma dimidiata (Reduviiade; Triatominae), the principal vector of Chagas disease in Jutiapa, Guatemala. Am J Trop Med Hyg. 2006;75(2):226–230. pmid:16896123
  44. 44. Wong YY, Macias KJS, Martínez DG, Solorzano LF, Ramirez-Sierra MJ, Herrera C, et al. Molecular epidemiology of Trypanosoma cruzi and Triatoma dimidiata in costal Ecuador. Infect Genet Evolution. 2016;41:207–212. pmid:27079265
  45. 45. Vargas E, Espitia C, Patiño C, Pinto N, Aguilera G, Jaramillo C, et al. Genetic structure of Triatoma venosa (Hemiptera: Reduviidae): molecular and morphometric evidence. Mem Inst Oswaldo Cruz. 2006;101(1):39–45. S0074-02762006000100008 [pii] /S0074-02762006000100008. pmid:16699708.
  46. 46. Caicedo-Garzon V, Salgado-Roa FC, Sanchez-Herrera M, Hernandez C, Arias-Giraldo LM, Garcia L, et al. Genetic diversification of Panstrongylus geniculatus (Reduviidae: Triatominae) in northern South America. PLoS One. 2019;14(10):e0223963. Epub 2019/10/18. pmid:31622439; PubMed Central PMCID: PMC6797096.
  47. 47. Reyes-Lugo M. Panstrongylus geniculatus Latreille 1811 (Hemiptera: Reduviidae: Triatominae), vector de la enfermedad de Chagas en el ambiente domiciliario del centro-norte de Venezuela. Biomedica. 2009;20(3):180–205.
  48. 48. Wolff M, Castillo D. Evidencias de domesticación y aspectos biológicos de Panstrongylus geniculatus (Latreille, 1811) (Hemiptera: Reduviidae). Acta Entomol Chil. 2000;24(77–83).
  49. 49. Leon CM, Hernandez C, Montilla M, Ramirez JD. Retrospective distribution of Trypanosoma cruzi I genotypes in Colombia. Mem Inst Oswaldo Cruz. 2015;110(3):387–393. Epub 2015/05/07. pmid:25946157; PubMed Central PMCID: PMC4489476.
  50. 50. Abad-Franch F, Aguilar V. Control de la enfermedad de Chagas en el Ecuador. OPS/OMS-Ministerio de Salud Pública del Ecuador. 2002;70pp.
  51. 51. Wolff M, Castillo D, Uribe J, Arboleda J. Tripanosomiasis americana: determinación de riesgo epidemiológico de transmisión en el municipio de Amalfi, Antioquia. Latreia. 2001;14(2):111–121.
  52. 52. Ministerio de Protección Social, Instituto Nacional de Salud, Organización Panamericana de la Salud. Gestión para la vigilancia entomológica y control de la transmisión de la enfermedad de chagas. Bogotá, D. C: Instituto Nacional de Salud; 2010.
  53. 53. Luz C, Fargues J, Grunewald J. Development of Rhodnius prolixus (Hemiptera: Reduviidae) under constant and cyclic conditions of temperature and humidity. Mem Inst Oswaldo Cruz. 1999;94(3):403–409. pmid:10348991
  54. 54. Roca MJ, Lazzari CR. Effects of relative humidity on the haematophagous bug Triatoma infestans: hygropreference and eclosion success. J Insect Physiol. 1994;40(10):901–907.
  55. 55. Gage KL, Burkot TR, Eisen RJ, Hayes EB. Climate and vector borne diseases. Am J Prev Med. 2008;35(5):436–450. pmid:18929970