Biodiversity Data Journal :
Data Paper (Biosciences)
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Corresponding author: Soledad Ceccarelli (soledad.ceccarelli@gmail.com)
Academic editor: Laurence Livermore
Received: 27 Aug 2020 | Accepted: 21 Oct 2020 | Published: 12 Nov 2020
© 2020 Soledad Ceccarelli, Agustín Balsalobre, Maria Cano, Delmi Canale, Patricia Lobbia, Raúl Stariolo, Jorge Rabinovich, Gerardo Marti
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Ceccarelli S, Balsalobre A, Cano ME, Canale D, Lobbia P, Stariolo R, Rabinovich JE, Marti GA (2020) Analysis of Chagas disease vectors occurrence data: the Argentinean triatomine species database. Biodiversity Data Journal 8: e58076. https://doi.org/10.3897/BDJ.8.e58076
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Chagas disease is a neglected tropical disease and Trypanosoma cruzi (its etiological agent) is mainly transmitted by triatomines (Hemiptera: Reduviidae). All triatomine species are considered as potential vectors; thus, their geographic distribution and habitat information should be a fundamental guide for the surveillance and control of Chagas disease. Currently, of the 137 species distributed in the Americas (
This is the first database of the 17 triatomine species present in Argentina (15917 records), with a critical analysis of the temporal, spatial and ecological characteristics of 9788 records. The information spans the last 100 years (1918–2019) and it was mostly obtained from the DataTri database and from the Argentinean Vector Reference Center. As 70% of the occurrences corresponded to the last 20 years, the information was split into two broad periods (pre-2000 and post-2000). Occurrence data for most species show distribution range contractions, which, from the pre-2000 to post-2000 period, became restricted mainly to the dry and humid Chaco ecoregions. Concurrently, the highest species richness foci occurred within those ecoregions. The species T. infestans, T. sordida, T. garciabesi and T. guasayana mostly colonise human dwelling habitats. This study provides the most comprehensive picture available for Argentinean triatomine species and we hope that any knowledge gaps will encourage others to keep this information updated to assist health policy-makers to make decisions based on the best evidence.
Chagas, Triatominae, database, temporal information, geographic distributions, species richness, habitat
Chagas disease is a public health problem in the Americas and elsewhere (
The Wallacean shortfall (
In the case of Chagas disease, updated data about current geographic distribution of triatomines are essential resources for the development of strategies to control vector transmission. Knowledge about triatomine habitats (i.e. domicile, peridomicile, sylvatic), as well as their synanthropic behaviour, are epidemiologically relevant since the risk of contracting Chagas disease by vectorial transmission depends mainly on the presence of the triatomines inside human dwellings. Recently,
The aim of this work is to develop a detailed temporal, spatial and ecological analysis of updated occurrence data for Argentinean triatomines, obtained from the above-mentioned data sources (DataTri, AMH and GeoVin), to achieve the following main goals: (a) provide a temporal description of the collected data, (b) update and refine the current knowledge of geographic distributions for triatomines in Argentina, (c) describe the diversity patterns of Argentinean triatomine species and (d) analyse, categorise and classify triatomine species according to the habitat where they occur.
Triatomine Database Strengthening ("Fortalecimiento de la Base de Datos de Triatominos")
Data gathering and final dataset building was conducted over five years under the responsibility of Soledad Ceccarelli, Agustín Balsalobre, Maria Eugenia Cano, Maria Eugenia Vicente, Paula Medone, Jorge E. Rabinovich and Gerardo A. Marti from the Centro de Estudios Parasitológicos y de Vectores (CEPAVE CONICET-CCT La Plata-UNLP). Delmi Canale, Patricia Lobbia and Raúl Stariolo from the Centro de Referencia de Vectores (CeReVe - Coordinación Nacional de Vectores, Ministerio de Salud de la Nación) provided triatomine occurrence data, based on unpublished entomological reports. Additional help and/or occurrence data were provided by many other colleagues throughout the years.
The geographic area associated to the dataset encompasses southern Argentina and Chile to southern Mexico. The temporal coverage of the dataset spans the period from 1918 to 2019, while the taxonomic coverage includes the 17 species currently cited for Argentina.
The main goal of the project was based on: i) to improve the quality of existing data in line with established standards, ii) to refine the current knowledge of geographic distributions for triatomines in Argentina and iii) to provide a public geodatabase with updated occurrence data for triatomine species present in Argentina, based on accurately georeferenced locations (
Ministerio de Ciencia y Técnica de la Nación (MinCyT) throughout the Sistema Nacional de Datos Biológicos (SNDB).
The methods applied to gather, georeference and validate the Argentinean triatomine species occurrences to build the dataset are described in detail in
Data were compiled from three main data sources: (1) DataTri (the American triatomine database) (
Analysis of the Argentinean triatomine occurrence data
The analysis of the Argentinean triatomine occurrence data was based upon a three-staged approach: i) temporal, ii) geographic and iii) habitat type.
Temporal pattern. To analyse the temporal pattern, the information was taken from each record and classified in 7-year intervals (year represents the year of collection) using only the records with associated information on year or period of years. If records from the published literature did not provide a collection date, the period (pre-2000 or post-2000) to which the publication belonged was assigned.
Geographic distributions and species richness pattern. We analysed the occurrence distributions and richness patterns of triatomine species. First, to obtain an overall view of the geographic information for each triatomine species, its occurrence data were mapped over areas representing ecoregions (
Habitat type. We classified each triatomine species according to the habitat type where triatomines are found. Although triatomine habitat types are usually classified as belonging to three general environment categories (inside human dwellings or domicile, around human dwellings or peridomicile and natural environment or sylvatic habitat); here we opted for a domiciliation/intrusion level habitat classification, based upon the one proposed by
The geographic area associated to the dataset encompasses southern Argentina and Chile to southern Mexico.
-55.777 and 23.241 Latitude; -97.383 and -33.047 Longitude.
The following taxonomic units were identified: three genera (Panstrongylus, Psammolestes and Triatoma) and 17 species: P. geniculatus, P. guentheri, P. megistus, P. rufotuberculatus, Ps. coreodes, T. breyeri, T. delpontei, T. eratyrusiformis, T. garciabesi, T. guasayana, T. infestans, T. limai, T. patagonica, T. platensis, T. rubrofasciata, T. rubrovaria and T. sordida.
We compiled a total of 15917 occurrence data for the entire geographic range of the triatomine species present in Argentina; of those, 9788 records corresponded to exclusively Argentinean distributions (
The compiled information for Argentina spans the period from 1918 to 2019, with 70% of the occurrences corresponding to the last 20 years (Fig.
Temporal information for each Argentinean triatomine species. Number of records (excluding those in areas outside the Argentinean borders) of pre-2000, post-2000 and totals occurrences with their respective percentages and information interval for both periods.
Triatomine species |
Pre-2000 information interval |
N° of pre-2000 records |
% of pre-2000 records |
Post-2000 information interval |
N° of post-2000 records |
% of post-2000 records |
N° of total records |
% of total records |
P. geniculatus |
1945-1995 |
21 |
0.72 |
2008-2015 |
4 |
0.06 |
25 |
0.26 |
P. guentheri |
1927-1994 |
187 |
6.38 |
2006-2018 |
27 |
0.39 |
214 |
2.19 |
P. megistus |
1945-1995 |
27 |
0.92 |
- |
- |
- |
27 |
0.28 |
P. rufotuberculatus |
1997 |
1 |
0.03 |
- |
- |
- |
1 |
0.01 |
Ps. coreodes |
1934-1999 |
179 |
6.11 |
2006-2017 |
66 |
0.96 |
245 |
2.50 |
T. breyeri |
1940-1989 |
12 |
0.41 |
2008-2010 |
14 |
0.20 |
26 |
0.27 |
T. delpontei |
1943-1981 |
71 |
2.42 |
2006-2015 |
24 |
0.35 |
95 |
0.97 |
T. eratyrusiformis |
1929-1999 |
85 |
2.90 |
2006-2019 |
50 |
0.73 |
135 |
1.38 |
T. garciabesi |
1929-1999 |
120 |
4.09 |
2003-2018 |
219 |
3.18 |
339 |
3.46 |
T. garciabesi-T. sordida |
1936-1998 |
77 |
2.62 |
2002-2017 |
72 |
1.05 |
149 |
1.52 |
T. guasayana |
1936-2000 |
303 |
10.34 |
2001-2018 |
313 |
4.56 |
616 |
6.29 |
T. infestans |
1919-2000 |
1273 |
43.36 |
2001-2019 |
5673 |
82.72 |
6946 |
70.96 |
T. limai |
1918-1968 |
9 |
0.31 |
- |
- |
- |
9 |
0.09 |
T. patagonica |
1927-1998 |
176 |
6.01 |
2003-2019 |
109 |
1.59 |
285 |
2.91 |
T. platensis |
1936-1999 |
292 |
9.97 |
2003-2018 |
96 |
1.40 |
388 |
3.96 |
T. rubrofasciata |
1924 |
1 |
0.03 |
- |
- |
- |
1 |
0.01 |
T. rubrovaria |
1942-1999 |
24 |
0.82 |
2001-2003 |
2 |
0.03 |
26 |
0.27 |
T. sordida |
1935-1999 |
72 |
2.46 |
2003-2018 |
189 |
2.75 |
261 |
2.67 |
Total |
1918-2000 |
2930 |
2001-2019 |
6858 |
9788 |
Temporal distribution of Argentinean triatomine occurrence data. Frequency distribution of the number of occurrence data per 7-year intervals. Records with temporal information expressed as a time range that spanned both sides of the pre- and post-2000 time boundary (e.g. 1998-2006) were assigned to the time interval with the largest number of years of collection.
There are 2930 occurrence records in the pre-2000 period corresponding to information on 17 triatomine species, compared to 6858 records corresponding to 13 triatomine species in the post-2000 period. The species missing from the post-2000 period are P. megistus, P. rufotuberculatus, T. limai and T. rubrofasciata (Table
Most of the records (62.79%) were obtained from DataTri and 37.21% from the other three datasets (AMH-CeNDIE/ANLIS, AMH-CeReVe and GeoVin). The main data sources contributing to the pre-2000 records were public repositories (96.66%), while in the post-2000 period, AMH-CeReVe and data provided by colleagues were the data sources with the greatest contribution (51.82% and 33.68%, respectively) (Table
Types of data sources reviewed. The chart presents the number of records compiled from each information source type and the percentage of contribution from each information source in each period (pre- and post-2000). The “New data sets” rows correspond to sources of information obtained after the publication of DataTri.
Data source type |
Number of pre-2000 records |
% of pre-2000 data contribution |
Number of post-2000 records |
% of post-2000 data contribution |
Total number of records |
% of total data contribution |
|
New data sets |
AMH-CeNDIE/ANLIS |
0 |
0 |
24 |
0.35 |
24 |
0.25 |
AMH-CeReVe |
0 |
0 |
3554 |
51.82 |
3554 |
36.31 |
|
Citizen science - GeoVin |
0 |
0 |
64 |
0.93 |
64 |
0.65 |
|
0 |
0 |
3642 |
53.11 |
3642 |
37.21 |
||
DataTri |
Personal field work - CEPAVE |
0 |
0 |
395 |
5.76 |
395 |
4.04 |
Data provided by colleagues |
98 |
3.34 |
2310 |
33.68 |
2408 |
24.60 |
|
Public repositories |
2832 |
96.66 |
511 |
7.45 |
3343 |
34.15 |
|
2930 |
100 |
3216 |
46.89 |
6146 |
62.79 |
||
Total |
2930 |
6858 |
9788 |
According to the type of habitat where collected, 29.96% of the species are found inside human dwellings, 65.02% in the vicinity of human dwellings and 5.01% in natural environments (Table
Classification of triatomine species in the Argentinean territory according to the level of domiciliation/intrusion in human dwellings and natural environment. The percentage of records in each habitat type represents the number of records for each species relative to the total records for each habitat type. The percentage of records with presence of nymphal stages represents the number of records of each species with nymphal stages presence relative to the total records for each species in each species category.
Habitat type (number of records) |
Species c ategories |
Triatomine species |
Percentage of records in each habitat type |
Percentage of records with presence of nymphal stage |
Inside human dwellings (Domicile) (N = 2193) |
Domestic species |
T. infestans |
93.75 (N = 2056) |
36.72 (N = 755) |
Domiciliary species |
T. sordida |
1.96 (N = 43) |
55.81 (N = 24) |
|
T. guasayana |
1.65 (N = 36) |
27.78 (N = 10) |
||
T. garciabesi |
1.28 (N = 28) |
57.14 (N = 16) |
||
Domiciliary intrusive species |
T. eratyrusiformis |
0.27 (N = 6) |
NA |
|
T. patagonica |
0.5 (N = 11) |
NA |
||
P. guentheri |
0.37 (N = 8) |
NA |
||
T. platensis |
0.18 (N = 4) |
NA |
||
P. geniculatus |
0.05 (N = 1) |
NA |
||
Around human dwellings (Peridomicile) (N = 4759) |
Peridomestic species |
T. infestans |
84.28 (N = 4011) |
36.60 (N = 1468) |
Peridomiciliary species |
T. garciabesi |
4.58 (N = 218) |
85.78 (N = 187) |
|
T. guasayana |
4.22 (N = 201) |
78.11 (N = 157) |
||
T. sordida |
4.24 (N = 202) |
68.32 (N = 138) |
||
T. patagonica |
1.72 (N= 82) |
62.2 (N = 51) |
||
T. eratyrusiformis |
0.29 (N = 14) |
50 (N = 7) |
||
T. platensis |
0.5 (N = 24) |
45.83 (N = 11) |
||
Peridomiciliary intrusive species |
P. guentheri |
0.06 (N = 3) |
NA |
|
P. geniculatus |
0.04 (N = 2) |
NA |
||
Natural environment (N = 367) |
Sylvatic species |
T. infestans |
18.53 (N = 68) |
14.71 (N = 10) |
Ps. coreodes |
17.17 (N = 63) |
42.86 (N = 27) |
||
T. platensis |
16.35 (N = 60) |
50 (N = 30) |
||
T. guasayana |
16.08 (N = 59) |
30.51 (N = 18) |
||
T. garciabesi |
8.99 (N = 33) |
24.24 (N = 8) |
||
T. delpontei |
5.99 (N = 22) |
40.91 (N = 9) |
||
T. sordida |
5.18 (N = 19) |
26.32 (N = 5) |
||
P. guentheri |
3.81 (N = 14) |
NA |
||
T. breyeri |
3.81 (N = 14) |
64.29 (N = 9) |
||
T. eratyrusiformis |
2.72 (N = 10) |
NA |
||
T. patagonica |
0.54 (N = 2) |
NA |
||
T. rubrovaria |
0.54 (N = 2) |
50 (N = 1) |
||
P. geniculatus |
0.27 (N = 1) |
100 (N = 1) |
Triatoma infestans is the only species categorised as Domestic and Peridomestic, while T. garciabesi, T. guasayana and T. sordida are mainly Domiciliary and Peridomiciliary species. In the case of T. eratyrusiformis, T. patagonica and T. platensis, they are mainly Peridomiciliary species, whereas P. geniculatus and P. guentheri are mainly Peridomiciliary intrusive species. Additionally, even though the relative frequency of records for each species in natural environments are heterogeneous, Ps. coreodes, T. breyeri and T. delpontei are Sylvatic species, with the maximum percentage of nymphal stages recorded in this habitat type (Table
The occurrence data for triatomine species are distributed over 15 ecoregions, amongst which those with highest number of species occurrences in both periods are Dry Chaco, Humid Chaco, Espinal, Plains and Plateaus Monte and Hills and Bossoms Monte (Suppl. material
The species with widest geographic distribution is T. infestans (Fig.
Triatoma guasayana is the species with the second highest number of occurrence data (6.29%), followed by T. garciabesi and T. sordida (7.65%, including the T. garciabesi-T. sordida records) (Table
Distribution of occurrence data for T. garciabesi, T. garciabesi-T. sordida, T. sordida and T. guasayana (a) pre-2000 records (b) post-2000 records. Species occurrence data are shown as black dots (T. garciabesi and T. guasayana), white circles with black dots (T. sordida) and white triangle (T. garciabesi-T. sordida). Coloured areas indicate the ecoregions. Red stars are questionable records for T. sordida (
Triatoma eratyrusiformis presented similar distribution patterns of occurrence between the pre-2000 and post-2000 periods. For T. patagonica, occurrences in the post-2000 period were restricted to the southern Dry Chaco, Plains and Plateaus Monte and the Espinal ecoregion in southern Buenos Aires Province (Fig.
Distribution of occurrence data for T. eratyrusiformis, T. patagonica and T. platensis. (a) pre-2000 records (b) post-2000 records. Species occurrence data are shown as black dots. Coloured areas represent the ecoregions. Red star is a questionable record for T. eratyrusiformis (
There are fewer records of P. geniculatus and P. guentheri in the post-2000 than in the pre-2000 period, with occurrences restricted to the Humid and Dry Chaco ecoregions, respectively (Fig.
The species Ps. coreodes, T. breyeri, T. delpontei and T. rubrovaria show reduction of their geographic ranges from pre-2000 to post-2000 periods, with scarce post-2000 records (Fig.
Distribution of occurrence data for Ps. coreodes, T. breyeri, T. delpontei and T. rubrovaria (a) pre-2000 records (b) post-2000 records. Species occurrence data are shown as black dots. Coloured areas represent the ecoregions. Red stars are questionable records for T. breyeri (
No reports of occurrence were found for P. megistus, P. rufotuberculatus, T. limai and T. rubrofasciata in the post-2000 period; thus, Fig.
Distribution of occurrence data for triatomine species with only pre-2000 information available. Species occurrence data are shown as black triangles (P. megistus), black squares (P. rufotuberculatus), black stars (T. limai) and black dots (T. rubrofasciata). Coloured areas represent the ecoregions.
These data show a trend of reduction in species richness of triatomines over the last 20 years in central-western Argentina (an area corresponding mainly to the southern and central Dry Chaco ecoregion) (Fig.
Column label | Column description |
---|---|
occurrenceID | The globally unique identifier for the occurrence. |
dcterms:type | The nature of the resource. |
dcterms:modified | The most recent date-time on which the resource was changed. |
dcterms:language | A language of the resource. |
institutionCode | The name of the institution having custody of the resource. |
collectionCode | The name identifying the dataset from which the record was derived. |
basisOfRecord | The specific nature of the data record. |
catalogNumber | An unique identifier for the record within the dataset. |
higherClassification | A concatenated list of taxa names terminating at the rank immediately superior to the taxon referenced in the taxon record. |
kingdom | The full scientific name of the kingdom in which the taxon is classified. |
phylum | The full scientific name of the phylum in which the taxon is classified. |
class | The full scientific name of the class in which the taxon is classified. |
order | The full scientific name of the order in which the taxon is classified. |
family | The full scientific name of the family in which the taxon is classified. |
genus | The full scientific name of the genus in which the taxon is classified. |
specificEpithet | The name of the species epithet of the scientificName. |
scientificNameAuthorship | The authorship information for the scientificName formatted according to the conventions of the applicable nomenclatural Code. |
scientificName | The full scientific name. |
taxonRank | The taxonomic rank of the most specific name in the scientificName. |
recordedBy | A person, group or organisation responsible for recording the original Occurrence. |
individualCount | The number of individuals present at the time of the Occurrence. |
sex | The sex of the biological individual(s) represented in the Occurrence. |
lifeStage | The life stage of the biological individual(s) at the time the Occurrence was recorded. |
year | The four-digit year in which the Event occurred. |
month | The ordinal month in which the Event occurred. |
day | The integer day of the month on which the Event occurred. |
habitat | A category of the habitat in which the Event occurred. |
samplingProtocol | The name of, reference to, or description of the method or protocol used during an Event. |
samplingEffort | The amount of effort expended during an Event. |
higherGeography | A concatenated list of geographic names less specific than the information captured in the locality term. |
continent | The name of the continent in which the Location occurs. |
country | The name of the country in which the Location occurs. |
countryCode | The standard code for the country in which the Location occurs. |
stateProvince | The name of the next smaller administrative region than country in which the Location occurs. |
municipality | The full, unabbreviated name of the next smaller administrative region than county in which the Location occurs. |
locality | The specific description of the place. |
verbatimLocality | The original textual description of the place. |
decimalLatitude | The geographic latitude (in decimal degrees) of the geographic centre of a Location. |
decimalLongitude | The geographic longitude (in decimal degrees) of the geographic centre of a Location. |
geodeticDatum | The spatial reference system (SRS) upon which the geographic coordinates given in decimalLatitude and decimalLongitude are based. |
georeferencedBy | Names of people, groups or organisations who determined the georeference for the Location. |
georeferenceSource | A list of resources used to georeference the Location. |
associatedReferences | Identifier (publication, bibliographic reference, global unique identifier, URI) of literature associated with the Occurrence. |
coordinateUncertaintyInMetres | The horizontal distance (in metres) from the given decimalLatitude and decimalLongitude describing the smallest circle containing the whole of the Location. |
eventDate | The date-time or interval when the event was recorded. |
We compiled a large amount of occurrence data and associated information and integrated it into a single database to better understand the geographic distribution of triatomine species present in Argentina over the last 100 years, as well as the temporal variation of these distributions.
One of our key findings was that the number of records in the post-2000 period almost tripled the number of those from the pre-2000 period. While for the pre-2000 period, public repositories (mainly records from researcher’s fieldwork published in scientific journals) were the major data sources providing spatial information, in the last two decades, the balance shifted towards records provided by the CeReVe, as well as focused field campaigns carried out by several research groups, which were the major data sources for the post-2000 period. However, these sources have become increasingly focused on the species with major epidemiological importance, mainly T. infestans and few records provide information about other species. We propose the following hypotheses that may account for this difference: (a) the results of chemical control and vector eradication campaigns that were carried out through the creation of the INCOSUR initiative in 1992 (http://www.paho.org) became evident only in the post-2000 period; (b) in the 1997-2007 period, Argentinean researchers received the highest number of grants from WHO Special Programme for Research and Training in Tropical Diseases (TDR) and the Pan American Health Organization (PAHO), which resulted also in the highest number of related publications in peer-reviewed scientific journals (
Another of the key findings concerns the number of triatomine species present in Argentina. According to
In the case of insect vectors, it is common for those species with greater public health importance (e.g. domiciliated species) to receive more attention, as in the case of T. infestans that makes up 70.98% of all the occurrence data and has the largest geographic distribution in Argentina. The occurrence records for some species are also biased towards certain regions and habitats: occurrence data of most species show distributions restricted mainly to the Dry and Humid Chaco ecoregions in the post-2000 period, with P. guentheri showing the greatest reduction of occurrence distribution, from 10 ecoregions in the pre-2000 period to only one in the post-2000 period. Undoubtedly, this phenomenon involves not only the usual tendency of researchers to survey specific or more accessible places (
Finally, on the basis of the information about habitat and the categorisation presented here, we show that, although the greatest proportion of records in all habitat types corresponds to T. infestans, there are also other species, namely T. sordida, T. garciabesi and T. guasayana, that occur as both adults and nymphs inside and around human dwellings. In the case of T. eratyrusiformis, T. patagonica and T. platensis, the records of occurrence within human dwellings include adult individuals only, but these species also occur as nymphs in the vicinity of human dwellings. The categorisation used in this work could contribute to the development of vector risk indices and, combined with the maps of species distributions, could be extremely useful for decision-makers in health organisations, since the risk of these insects acting as vectors of T. cruzi to result in Chagas disease is not only due to the presence of the triatomines themselves, but also depends on their proximity to and colonisation of human dwellings.
In summary, we used an approach, based on occurrence data analysis, to assess temporal, spatial and ecological patterns of the triatomines present in Argentina. Our results provide updated information regarding various aspects of Argentinean triatomines that will improve the ways in which these species are identified, controlled and managed in Argentina. Two major outcomes of this work are, on one hand, the inclusion of 15 species in the updated list of Argentinean triatomines: P. geniculatus, P. guentheri, P. megistus, P. rufotuberculatus, Ps. coreodes, Triatoma breyeri, T. delpontei, T. eratyrusiformis, T. garciabesi, T. guasayana, T. infestans, T. patagonica, T. platensis, T. rubrovaria and T. sordida. On the other hand, the database analysed will add records to those of DataTri, thus becoming the largest open access database of American triatomines with around 30000 records so far, which not only represents a fundamental resource for Chagas disease decision-making, but also contributes to the initiatives related to open access data. Ongoing investment in national records for vector control is crucial for the continuous growth of the datasets upon which our analyses are based. The methods that we developed and implemented can be easily transferred to and applied in other countries where these types of data are available, thus improving our understanding of existing triatomine information.
We thank the Centro de Referencia de Vectores (CeReVe) (Coordinación Nacional de Vectores - Ministerio de Salud de la Nación) and María Soledad Santini from Centro Nacional de Diagnóstico e Investigación en Endemo-Epidemias (CeNDIE/ANLIS) (Ministerio de Salud de la Nación - Presidencia de la Nación) for providing triatomine occurrence data. We also thank Joaquin Cochero for the development and constant support of the GeoVin project. This work received partial financial support from ANPCyT (National Agency for Scientific and Technological Promotion, Argentina (PICT Nos. 2018-0707 and 2018-1545).
S.C., A.B., G.A.M. and J.E.R. drafted the data collection protocol. S.C., G.A.M. and J.E.R. requested unpublished data from researchers. P.L., D.C and R.S. processed and provided unpublished datasets from CeReVe. A.B and M.E.C. performed the quality control of the data. S.C. and J.E.R. wrote the first draft and all authors contributed to the manuscript.