Please use this identifier to cite or link to this item: https://www.arca.fiocruz.br/handle/icict/10337
Title: Modeling Disease Vector Occurrence When Detection Is Imperfect II: Drivers of Site-Occupancy by Synanthropic Triatoma brasiliensis in the Brazilian Northeast
Authors: Barbosa, Carolina Valença
Lima, Marli M
Sarquis, Otília
Bezerra, Claudia M
Franch, Fernando Abad
Affilliation: Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Ecoepidemiologia de Doença da Chagas. Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Ecoepidemiologia de Doença da Chagas. Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Ecoepidemiologia de Doença da Chagas. Rio de Janeiro, RJ, Brasil.
Secretaria Estadual de Saúde do Ceará. Fortaleza, CE, Brasil.
Fiocruz Amazônia. Instituto Leônidas e Maria Deane. Manaus, AM, Brasil.
Abstract: 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; naı¨ve 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 imperfect detection. We anticipate that future research on infectious disease ecology will increasingly rely on approaches akin to those described here.
Keywords: Chagas disease
Triatoma brasiliensis
Keywords in spanish: Enfermedad de Chagas
Triatoma
keywords: Doença de Chagas
Triatoma
Brazilian Northeast
Issue Date: 2014
Publisher: Plos One
Citation: BARBOSA, Carolina Valença et al. Modeling Disease Vector Occurrence When Detection Is Imperfect II: Drivers of Site-Occupancy by Synanthropic Triatoma brasiliensis in the Brazilian Northeast. PLOS Neglected Tropical Diseases, v.8, n.5, 12p, may 2014.
DOI: 10.1371/journal.pntd.0002861
Copyright: open access
Appears in Collections:AM - ILMD - Artigos de Periódicos
IOC - Artigos de Periódicos

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