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ESTIMATING THE SIZE OF AEDES AEGYPTI POPULATIONS FROM DENGUE INCIDENCE DATA: IMPLICATIONS FOR THE RISK OF YELLOW FEVER OUTBREAKS
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Affilliation
Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil / London School of Hygiene and Tropical Medicine. UK / The University of Derby. College of Life and Natural Sciences, UK
Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil.
Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil.
Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.
Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil.
Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Canada / Institute of Public Health, University of Heidelberg, Germany / Department Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University, SE-901 85 Umeå, Sweden / Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil / Universidade Federal de São Paulo. Escola Paulista de Medicina. Hospital São Paulo. São Paulo, SP, Brasil.
Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil.
Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil.
Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.
Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil.
Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Canada / Institute of Public Health, University of Heidelberg, Germany / Department Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University, SE-901 85 Umeå, Sweden / Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil / Universidade Federal de São Paulo. Escola Paulista de Medicina. Hospital São Paulo. São Paulo, SP, Brasil.
Abstract
In this paper we present a model to estimate the density of aedes mosquitoes in a community
affected by dengue. The method consists in fitting a continuous function to the
incidence of dengue infections, from which the density of infected mosquitoes is derived
straightforwardly. Further derivations allow the calculation of the latent and susceptible
mosquitoes' densities, the sum of the three equals the total mosquitoes' density. The
method is illustrated with the case of the risk of urban yellow fever resurgence in dengue
infested areas but the same procedures apply for other aedes-transmitted infections like
Zika and chikungunya viruses.
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