| Author | Abad-Franch, Fernando | |
| Author | Valença-Barbosa, Carolina | |
| Author | Sarquis, Otília | |
| Author | Lima, Marli M. | |
| Access date | 2015-04-06T17:18:20Z | |
| Available date | 2015-04-06T17:18:20Z | |
| Document date | 2014 | |
| Citation | ABAD-FRANCH, FERNANDO; et al. All that glisters is not gold: sampling-process uncertainty in disease-vector surveys with false-negative and false-positive detections. PLoS Neglected Tropical Diseases (Online), v.8, n.9, p. e3187,2014. | pt_BR |
| ISSN | 19352735 | pt_BR |
| URI | https://www.arca.fiocruz.br/handle/icict/9888 | |
| Language | eng | pt_BR |
| Publisher | Plos Neglected Tropical Diseases | en |
| Rights | open access | |
| Subject in Portuguese | Triatominae | pt_BR |
| Subject in Portuguese | Ecologia | pt_BR |
| Subject in Portuguese | Doença de Chagas | pt_BR |
| Title | All That Glisters Is Not Gold: Sampling-Process Uncertainty in Disease-Vector Surveys with False-Negative and False-Positive Detections | pt_BR |
| Type | Article | |
| DOI | DOI:10.1371/journal.pntd.0003187 | pt_BR |
| Abstract | Background:
Vector-borne diseases are major public health concerns worldwide. For many of them, vector control is still
key to primary prevention, with control actions planned and evaluated using vector occurrence records. Yet vectors can be
difficult to detect, and vector occurrence indices will be biased whenever spurious detection/non-detection records arise
during surveys. Here, we investigate the process of Chagas disease vector detection, assessing the performance of the
surveillance method used in most control programs – active triatomine-bug searches by trained health agents.
Methodology/Principal Findings:
Control agents conducted triplicate vector searches in 414 man-made ecotopes of two
rural localities. Ecotope-specific ‘detection histories’ (vectors or their traces detected or not in each individual search) were
analyzed using ordinary methods that disregard detection failures and multiple detection-state site-occupancy models that
accommodate false-negative and false-positive detections. Mean (
6
SE) vector-search sensitivity was
,
0.283
6
0.057. Vector-
detection odds increased as bug colonies grew denser, and were lower in houses than in most peridomestic structures,
particularly woodpiles. False-positive detections (non-vector fecal streaks misidentified as signs of vector presence) occurred
with probability
,
0.011
6
0.008. The model-averaged estimate of infestation (44.5
6
6.4%) was
,
2.4–3.9 times higher than
naı
̈
ve indices computed assuming perfect detection after single vector searches (11.4–18.8%); about 106–137 infestation
foci went undetected during such standard searches.
Conclusions/Significance:
We illustrate a relatively straightforward approach to addressing vector detection uncertainty
under realistic field survey conditions. Standard vector searches had low sensitivity except in certain singular circumstances.
Our findings suggest that many infestation foci may go undetected during routine surveys, especially when vector density is
low. Undetected foci can cause control failures and induce bias in entomological indices; this may confound disease risk
assessment and mislead program managers into flawed decision making. By helping correct bias in naı
̈
ve indices, the
approach we illustrate has potential to critically strengthen vector-borne disease control-surveillance systems. | en |
| Affilliation | Fiocruz Amazônia. Instituto Leônidas e Maria Deane. Infectious Disease Ecology Laboratory. Manaus, AM, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Epidemiologia da Doença de Chagas. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Epidemiologia da Doença de Chagas. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Epidemiologia da Doença de Chagas. Rio de Janeiro, RJ, Brasil. | pt_BR |
| xmlui.metadata.dc.subject.ods | 03 Saúde e Bem-Estar | |
