Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata.

Widespread application of insecticide remains the primary form of control for Chagas disease in Central America, despite only temporarily reducing domestic levels of the endemic vector Triatoma dimidiata and having little long-term impact. Recently, an approach emphasizing community feedback and hou...

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Published in:PLOS Neglected Tropical Diseases
Main Authors: B K M Case, Jean-Gabriel Young, Daniel Penados, Carlota Monroy, Laurent Hébert-Dufresne, Lori Stevens
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2022
Subjects:
Online Access:https://doi.org/10.1371/journal.pntd.0010436
https://doaj.org/article/375a39c117444e0fae284a57d8ca620e
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spelling ftdoajarticles:oai:doaj.org/article:375a39c117444e0fae284a57d8ca620e 2023-05-15T15:13:08+02:00 Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata. B K M Case Jean-Gabriel Young Daniel Penados Carlota Monroy Laurent Hébert-Dufresne Lori Stevens 2022-06-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0010436 https://doaj.org/article/375a39c117444e0fae284a57d8ca620e EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0010436 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0010436 https://doaj.org/article/375a39c117444e0fae284a57d8ca620e PLoS Neglected Tropical Diseases, Vol 16, Iss 6, p e0010436 (2022) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2022 ftdoajarticles https://doi.org/10.1371/journal.pntd.0010436 2022-12-31T00:24:31Z Widespread application of insecticide remains the primary form of control for Chagas disease in Central America, despite only temporarily reducing domestic levels of the endemic vector Triatoma dimidiata and having little long-term impact. Recently, an approach emphasizing community feedback and housing improvements has been shown to yield lasting results. However, the additional resources and personnel required by such an intervention likely hinders its widespread adoption. One solution to this problem would be to target only a subset of houses in a community while still eliminating enough infestations to interrupt disease transfer. Here we develop a sequential sampling framework that adapts to information specific to a community as more houses are visited, thereby allowing us to efficiently find homes with domiciliary vectors while minimizing sampling bias. The method fits Bayesian geostatistical models to make spatially informed predictions, while gradually transitioning from prioritizing houses based on prediction uncertainty to targeting houses with a high risk of infestation. A key feature of the method is the use of a single exploration parameter, α, to control the rate of transition between these two design targets. In a simulation study using empirical data from five villages in southeastern Guatemala, we test our method using a range of values for α, and find it can consistently select fewer homes than random sampling, while still bringing the village infestation rate below a given threshold. We further find that when additional socioeconomic information is available, much larger savings are possible, but that meeting the target infestation rate is less consistent, particularly among the less exploratory strategies. Our results suggest new options for implementing long-term T. dimidiata control. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 16 6 e0010436
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id 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
B K M Case
Jean-Gabriel Young
Daniel Penados
Carlota Monroy
Laurent Hébert-Dufresne
Lori Stevens
Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata.
topic_facet Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
description Widespread application of insecticide remains the primary form of control for Chagas disease in Central America, despite only temporarily reducing domestic levels of the endemic vector Triatoma dimidiata and having little long-term impact. Recently, an approach emphasizing community feedback and housing improvements has been shown to yield lasting results. However, the additional resources and personnel required by such an intervention likely hinders its widespread adoption. One solution to this problem would be to target only a subset of houses in a community while still eliminating enough infestations to interrupt disease transfer. Here we develop a sequential sampling framework that adapts to information specific to a community as more houses are visited, thereby allowing us to efficiently find homes with domiciliary vectors while minimizing sampling bias. The method fits Bayesian geostatistical models to make spatially informed predictions, while gradually transitioning from prioritizing houses based on prediction uncertainty to targeting houses with a high risk of infestation. A key feature of the method is the use of a single exploration parameter, α, to control the rate of transition between these two design targets. In a simulation study using empirical data from five villages in southeastern Guatemala, we test our method using a range of values for α, and find it can consistently select fewer homes than random sampling, while still bringing the village infestation rate below a given threshold. We further find that when additional socioeconomic information is available, much larger savings are possible, but that meeting the target infestation rate is less consistent, particularly among the less exploratory strategies. Our results suggest new options for implementing long-term T. dimidiata control.
format Article in Journal/Newspaper
author B K M Case
Jean-Gabriel Young
Daniel Penados
Carlota Monroy
Laurent Hébert-Dufresne
Lori Stevens
author_facet B K M Case
Jean-Gabriel Young
Daniel Penados
Carlota Monroy
Laurent Hébert-Dufresne
Lori Stevens
author_sort B K M Case
title Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata.
title_short Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata.
title_full Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata.
title_fullStr Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata.
title_full_unstemmed Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata.
title_sort spatial epidemiology and adaptive targeted sampling to manage the chagas disease vector triatoma dimidiata.
publisher Public Library of Science (PLoS)
publishDate 2022
url https://doi.org/10.1371/journal.pntd.0010436
https://doaj.org/article/375a39c117444e0fae284a57d8ca620e
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source PLoS Neglected Tropical Diseases, Vol 16, Iss 6, p e0010436 (2022)
op_relation https://doi.org/10.1371/journal.pntd.0010436
https://doaj.org/toc/1935-2727
https://doaj.org/toc/1935-2735
1935-2727
1935-2735
doi:10.1371/journal.pntd.0010436
https://doaj.org/article/375a39c117444e0fae284a57d8ca620e
op_doi https://doi.org/10.1371/journal.pntd.0010436
container_title PLOS Neglected Tropical Diseases
container_volume 16
container_issue 6
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