Modeling disease vector occurrence when detection is imperfect II: Drivers of site-occupancy by synanthropic Triatoma brasiliensis in the Brazilian northeast.

BACKGROUND: Understanding the drivers of habitat selection by insect disease vectors is instrumental to the design and operation of rational control-surveillance systems. One pervasive yet often overlooked drawback of vector studies is that detection failures result in some sites being misclassified...

Full description

Bibliographic Details
Published in:PLoS Neglected Tropical Diseases
Main Authors: Carolina Valença-Barbosa, Marli M Lima, Otília Sarquis, Claudia M Bezerra, Fernando Abad-Franch
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2014
Subjects:
Online Access:https://doi.org/10.1371/journal.pntd.0002861
https://doaj.org/article/9e9c6d7ef7ca4bfebbaa4a4eb9015f3c
id ftdoajarticles:oai:doaj.org/article:9e9c6d7ef7ca4bfebbaa4a4eb9015f3c
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:9e9c6d7ef7ca4bfebbaa4a4eb9015f3c 2023-05-15T15:16:29+02:00 Modeling disease vector occurrence when detection is imperfect II: Drivers of site-occupancy by synanthropic Triatoma brasiliensis in the Brazilian northeast. Carolina Valença-Barbosa Marli M Lima Otília Sarquis Claudia M Bezerra Fernando Abad-Franch 2014-05-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0002861 https://doaj.org/article/9e9c6d7ef7ca4bfebbaa4a4eb9015f3c EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC4014420?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0002861 https://doaj.org/article/9e9c6d7ef7ca4bfebbaa4a4eb9015f3c PLoS Neglected Tropical Diseases, Vol 8, Iss 5, p e2861 (2014) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2014 ftdoajarticles https://doi.org/10.1371/journal.pntd.0002861 2022-12-30T21:58:07Z BACKGROUND: Understanding the drivers of habitat selection by insect disease vectors is instrumental to the design and operation of rational control-surveillance systems. One pervasive yet often overlooked drawback of vector studies is that detection failures result in some sites being misclassified as uninfested; naïve infestation indices are therefore biased, and this can confound our view of vector habitat preferences. Here, we present an initial attempt at applying methods that explicitly account for imperfect detection to investigate the ecology of Chagas disease vectors in man-made environments. METHODOLOGY: We combined triplicate-sampling of individual ecotopes (n = 203) and site-occupancy models (SOMs) to test a suite of pre-specified hypotheses about habitat selection by Triatoma brasiliensis. SOM results were compared with those of standard generalized linear models (GLMs) that assume perfect detection even with single bug-searches. PRINCIPAL FINDINGS: Triatoma brasiliensis was strongly associated with key hosts (native rodents, goats/sheep and, to a lesser extent, fowl) in peridomestic environments; ecotope structure had, in comparison, small to negligible effects, although wooden ecotopes were slightly preferred. We found evidence of dwelling-level aggregation of infestation foci; when there was one such focus, same-dwelling ecotopes, whether houses or peridomestic structures, were more likely to become infested too. GLMs yielded negatively-biased covariate effect estimates and standard errors; both were, on average, about four times smaller than those derived from SOMs. CONCLUSIONS/SIGNIFICANCE: Our results confirm substantial population-level ecological heterogeneity in T. brasiliensis. They also suggest that, at least in some sites, control of this species may benefit from peridomestic rodent control and changes in goat/sheep husbandry practices. Finally, our comparative analyses highlight the importance of accounting for the various sources of uncertainty inherent to vector studies, including ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLoS Neglected Tropical Diseases 8 5 e2861
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
Carolina Valença-Barbosa
Marli M Lima
Otília Sarquis
Claudia M Bezerra
Fernando Abad-Franch
Modeling disease vector occurrence when detection is imperfect II: Drivers of site-occupancy by synanthropic Triatoma brasiliensis in the Brazilian northeast.
topic_facet Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
description BACKGROUND: Understanding the drivers of habitat selection by insect disease vectors is instrumental to the design and operation of rational control-surveillance systems. One pervasive yet often overlooked drawback of vector studies is that detection failures result in some sites being misclassified as uninfested; naïve infestation indices are therefore biased, and this can confound our view of vector habitat preferences. Here, we present an initial attempt at applying methods that explicitly account for imperfect detection to investigate the ecology of Chagas disease vectors in man-made environments. METHODOLOGY: We combined triplicate-sampling of individual ecotopes (n = 203) and site-occupancy models (SOMs) to test a suite of pre-specified hypotheses about habitat selection by Triatoma brasiliensis. SOM results were compared with those of standard generalized linear models (GLMs) that assume perfect detection even with single bug-searches. PRINCIPAL FINDINGS: Triatoma brasiliensis was strongly associated with key hosts (native rodents, goats/sheep and, to a lesser extent, fowl) in peridomestic environments; ecotope structure had, in comparison, small to negligible effects, although wooden ecotopes were slightly preferred. We found evidence of dwelling-level aggregation of infestation foci; when there was one such focus, same-dwelling ecotopes, whether houses or peridomestic structures, were more likely to become infested too. GLMs yielded negatively-biased covariate effect estimates and standard errors; both were, on average, about four times smaller than those derived from SOMs. CONCLUSIONS/SIGNIFICANCE: Our results confirm substantial population-level ecological heterogeneity in T. brasiliensis. They also suggest that, at least in some sites, control of this species may benefit from peridomestic rodent control and changes in goat/sheep husbandry practices. Finally, our comparative analyses highlight the importance of accounting for the various sources of uncertainty inherent to vector studies, including ...
format Article in Journal/Newspaper
author Carolina Valença-Barbosa
Marli M Lima
Otília Sarquis
Claudia M Bezerra
Fernando Abad-Franch
author_facet Carolina Valença-Barbosa
Marli M Lima
Otília Sarquis
Claudia M Bezerra
Fernando Abad-Franch
author_sort Carolina Valença-Barbosa
title Modeling disease vector occurrence when detection is imperfect II: Drivers of site-occupancy by synanthropic Triatoma brasiliensis in the Brazilian northeast.
title_short Modeling disease vector occurrence when detection is imperfect II: Drivers of site-occupancy by synanthropic Triatoma brasiliensis in the Brazilian northeast.
title_full Modeling disease vector occurrence when detection is imperfect II: Drivers of site-occupancy by synanthropic Triatoma brasiliensis in the Brazilian northeast.
title_fullStr Modeling disease vector occurrence when detection is imperfect II: Drivers of site-occupancy by synanthropic Triatoma brasiliensis in the Brazilian northeast.
title_full_unstemmed Modeling disease vector occurrence when detection is imperfect II: Drivers of site-occupancy by synanthropic Triatoma brasiliensis in the Brazilian northeast.
title_sort modeling disease vector occurrence when detection is imperfect ii: drivers of site-occupancy by synanthropic triatoma brasiliensis in the brazilian northeast.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doi.org/10.1371/journal.pntd.0002861
https://doaj.org/article/9e9c6d7ef7ca4bfebbaa4a4eb9015f3c
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source PLoS Neglected Tropical Diseases, Vol 8, Iss 5, p e2861 (2014)
op_relation http://europepmc.org/articles/PMC4014420?pdf=render
https://doaj.org/toc/1935-2727
https://doaj.org/toc/1935-2735
1935-2727
1935-2735
doi:10.1371/journal.pntd.0002861
https://doaj.org/article/9e9c6d7ef7ca4bfebbaa4a4eb9015f3c
op_doi https://doi.org/10.1371/journal.pntd.0002861
container_title PLoS Neglected Tropical Diseases
container_volume 8
container_issue 5
container_start_page e2861
_version_ 1766346782791434240