Title
Comparative analysis of mosquito trap counts in the Peruvian Amazon: Effect of trap type and other covariates on counts and diversity
Date Issued
01 December 2018
Access level
open access
Resource Type
journal article
Author(s)
Unidad de Investigación Médica Naval
Unidad de Investigación Médica Naval
Publisher(s)
American Mosquito Control Association
Abstract
Efficient detection of multiple species of adult mosquitoes in various habitats using effective traps is a crucial 1st step in any disease prevention program. Novel trap types that target tropical vectors of human diseases require field testing in the habitat of the vector-disease system in question. This paper analyzes a series of mosquito trapping studies conducted at Mapacocha, San Juan Bautista District, Loreto, Peru, during August- September 2013 and April-May 2014. Six trap configurations were evaluated in forest and rural locations. Adult mosquito counts were analyzed using full Bayesian inference of multilevel generalized linear models and posterior probability point estimates of the difference of means of the combined trap catch by trap type comparisons of all species. Light traps (Centers for Disease Control and Prevention [CDC] incandescent, white light-emitting diode [LED], and ultraviolet LED) caught greater numbers of mosquitoes compared with traps baited with yeast-generated CO2 and Biogents Sentinele traps (battery powered traps without light and passive box traps). However, diversity measures (species richness, evenness, and similarity) were consistently nearly equal among trap types. Arbovirus vectors were more common in forest locations, while malaria vectors were more common near human habitations. Location had a significant effect on trap effectiveness and mosquito diversity, with traps from forest locations having greater numbers and greater species richness, compared with traps set near human habitations. The results of this study will inform mosquito surveillance trap choices in remote regions of central South America, including regions with emerging tropical diseases, such and dengue and Zika virus.
Start page
291
End page
301
Volume
34
Issue
4
Language
English
OCDE Knowledge area
Medicina tropical Ecología
Scopus EID
2-s2.0-85064681883
PubMed ID
Source
Journal of the American Mosquito Control Association
ISSN of the container
8756971X
Sources of information: Directorio de Producción Científica Scopus