Characterization of the dispersal of non-domiciliated Triatoma dimidiata through the selection of spatially explicit models.
BACKGROUND: Chagas disease is a major parasitic disease in Latin America, prevented in part by vector control programs that reduce domestic populations of triatomines. However, the design of control strategies adapted to non-domiciliated vectors, such as Triatoma dimidiata, remains a challenge becau...
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ftdoajarticles:oai:doaj.org/article:6de1e288fc0f41d88fd6258486fb91e7 2023-05-15T15:16:28+02:00 Characterization of the dispersal of non-domiciliated Triatoma dimidiata through the selection of spatially explicit models. Corentin Barbu Eric Dumonteil Sébastien Gourbière 2010-01-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0000777 https://doaj.org/article/6de1e288fc0f41d88fd6258486fb91e7 EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC2914783?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 doi:10.1371/journal.pntd.0000777 1935-2727 1935-2735 https://doaj.org/article/6de1e288fc0f41d88fd6258486fb91e7 PLoS Neglected Tropical Diseases, Vol 4, Iss 8, p e777 (2010) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2010 ftdoajarticles https://doi.org/10.1371/journal.pntd.0000777 2022-12-31T02:43:06Z BACKGROUND: Chagas disease is a major parasitic disease in Latin America, prevented in part by vector control programs that reduce domestic populations of triatomines. However, the design of control strategies adapted to non-domiciliated vectors, such as Triatoma dimidiata, remains a challenge because it requires an accurate description of their spatio-temporal distributions, and a proper understanding of the underlying dispersal processes. METHODOLOGY/PRINCIPAL FINDINGS: We combined extensive spatio-temporal data sets describing house infestation dynamics by T. dimidiata within a village, and spatially explicit population dynamics models in a selection model approach. Several models were implemented to provide theoretical predictions under different hypotheses on the origin of the dispersers and their dispersal characteristics, which we compared with the spatio-temporal pattern of infestation observed in the field. The best models fitted the dynamic of infestation described by a one year time-series, and also predicted with a very good accuracy the infestation process observed during a second replicate one year time-series. The parameterized models gave key insights into the dispersal of these vectors. i) About 55% of the triatomines infesting houses came from the peridomestic habitat, the rest corresponding to immigration from the sylvatic habitat, ii) dispersing triatomines were 5-15 times more attracted by houses than by peridomestic area, and iii) the moving individuals spread on average over rather small distances, typically 40-60 m/15 days. CONCLUSION/SIGNIFICANCE: Since these dispersal characteristics are associated with much higher abundance of insects in the periphery of the village, we discuss the possibility that spatially targeted interventions allow for optimizing the efficacy of vector control activities within villages. Such optimization could prove very useful in the context of limited resources devoted to vector control. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLoS Neglected Tropical Diseases 4 8 e777 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
spellingShingle |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Corentin Barbu Eric Dumonteil Sébastien Gourbière Characterization of the dispersal of non-domiciliated Triatoma dimidiata through the selection of spatially explicit models. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
BACKGROUND: Chagas disease is a major parasitic disease in Latin America, prevented in part by vector control programs that reduce domestic populations of triatomines. However, the design of control strategies adapted to non-domiciliated vectors, such as Triatoma dimidiata, remains a challenge because it requires an accurate description of their spatio-temporal distributions, and a proper understanding of the underlying dispersal processes. METHODOLOGY/PRINCIPAL FINDINGS: We combined extensive spatio-temporal data sets describing house infestation dynamics by T. dimidiata within a village, and spatially explicit population dynamics models in a selection model approach. Several models were implemented to provide theoretical predictions under different hypotheses on the origin of the dispersers and their dispersal characteristics, which we compared with the spatio-temporal pattern of infestation observed in the field. The best models fitted the dynamic of infestation described by a one year time-series, and also predicted with a very good accuracy the infestation process observed during a second replicate one year time-series. The parameterized models gave key insights into the dispersal of these vectors. i) About 55% of the triatomines infesting houses came from the peridomestic habitat, the rest corresponding to immigration from the sylvatic habitat, ii) dispersing triatomines were 5-15 times more attracted by houses than by peridomestic area, and iii) the moving individuals spread on average over rather small distances, typically 40-60 m/15 days. CONCLUSION/SIGNIFICANCE: Since these dispersal characteristics are associated with much higher abundance of insects in the periphery of the village, we discuss the possibility that spatially targeted interventions allow for optimizing the efficacy of vector control activities within villages. Such optimization could prove very useful in the context of limited resources devoted to vector control. |
format |
Article in Journal/Newspaper |
author |
Corentin Barbu Eric Dumonteil Sébastien Gourbière |
author_facet |
Corentin Barbu Eric Dumonteil Sébastien Gourbière |
author_sort |
Corentin Barbu |
title |
Characterization of the dispersal of non-domiciliated Triatoma dimidiata through the selection of spatially explicit models. |
title_short |
Characterization of the dispersal of non-domiciliated Triatoma dimidiata through the selection of spatially explicit models. |
title_full |
Characterization of the dispersal of non-domiciliated Triatoma dimidiata through the selection of spatially explicit models. |
title_fullStr |
Characterization of the dispersal of non-domiciliated Triatoma dimidiata through the selection of spatially explicit models. |
title_full_unstemmed |
Characterization of the dispersal of non-domiciliated Triatoma dimidiata through the selection of spatially explicit models. |
title_sort |
characterization of the dispersal of non-domiciliated triatoma dimidiata through the selection of spatially explicit models. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2010 |
url |
https://doi.org/10.1371/journal.pntd.0000777 https://doaj.org/article/6de1e288fc0f41d88fd6258486fb91e7 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 4, Iss 8, p e777 (2010) |
op_relation |
http://europepmc.org/articles/PMC2914783?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 doi:10.1371/journal.pntd.0000777 1935-2727 1935-2735 https://doaj.org/article/6de1e288fc0f41d88fd6258486fb91e7 |
op_doi |
https://doi.org/10.1371/journal.pntd.0000777 |
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PLoS Neglected Tropical Diseases |
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4 |
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8 |
container_start_page |
e777 |
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