Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/10325
Title: Assessment of a trap based Aedes aegypti surveillance program using mathematical modeling.
Authors: Lana, Raquel Martins
Morais, Maíra Moreira
Lima, Tiago França Melo de
Carneiro, Tiago Garcia de Senna
Stolerman, Lucas Martins
Santos, Jefferson Pereira Caldas dos
Cortés, José Joaquín Carvajal
Eiras, Álvaro Eduardo
Codeço, Cláudia Torres
Issue Date: 2018
Citation: LANA, R. M. et al. Assessment of a trap based Aedes aegypti surveillance program using mathematical modeling. PLoS ONE v. 13, n. 1, p. 1-16, jan. 2018. Disponível em: <http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0190673>. Acesso em: 03 mai. 2018.
Abstract: The goal of this study was to assess the goodness-of-fit of theoretical models of population dynamics of Aedes aegypti to trap data collected by a long term entomological surveillance program. The carrying capacity K of this vector was estimated at city and neighborhood level. Adult mosquito abundance was measured via adults collected weekly by a network of sticky traps (Mosquitraps) from January 2008 to December 2011 in Vitória, Espírito Santo, Brazil. K was the only free parameter estimated by the model. At the city level, the model with temperature as a driver captured the seasonal pattern of mosquito abundance. At the local level, we observed a spatial heterogeneity in the estimated carrying capacity between neighborhoods, weakly associated with environmental variables related to poor infrastructure. Model goodness-of-fit was influenced by the number of sticky traps, and suggests a minimum of 16 traps at the neighborhood level for surveillance.
URI: http://www.repositorio.ufop.br/handle/123456789/10325
ISSN: 19326203
metadata.dc.rights.license: This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Fonte: o próprio artigo
Appears in Collections:DECSI - Artigos publicados em periódicos

Files in This Item:
File Description SizeFormat 
ARTIGO_AssessmentTrapBased.pdf3,19 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.