Estimating the size of Aedes aegypti populations from dengue incidence data: Implications for the risk of yellow fever outbreaks
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...
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2017-11-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2468042717300507 |
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doaj-154e8db28ec347b598aabaa0eb252fe32021-02-02T09:07:37ZengKeAi Communications Co., Ltd.Infectious Disease Modelling2468-04272017-11-012444145410.1016/j.idm.2017.12.001Estimating the size of Aedes aegypti populations from dengue incidence data: Implications for the risk of yellow fever outbreaksEduardo Massad0Marcos Amaku1Francisco Antonio Bezerra Coutinho2Claudio José Struchiner3Luis Fernandez Lopez4Annelies Wilder-Smith5Marcelo Nascimento Burattini6School of Medicine, University of Sao Paulo, BrazilSchool of Medicine, University of Sao Paulo, BrazilSchool of Medicine, University of Sao Paulo, BrazilProgramme of Scientific Computation, Fundação Oswaldo Cruz, Rio de Janeiro, BrazilSchool of Medicine, University of Sao Paulo, BrazilLi Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, CanadaSchool of Medicine, University of Sao Paulo, BrazilIn 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.http://www.sciencedirect.com/science/article/pii/S2468042717300507Aedes aegyptiMosquitoes' densitiesDengueZika virusYellow fever |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Eduardo Massad Marcos Amaku Francisco Antonio Bezerra Coutinho Claudio José Struchiner Luis Fernandez Lopez Annelies Wilder-Smith Marcelo Nascimento Burattini |
spellingShingle |
Eduardo Massad Marcos Amaku Francisco Antonio Bezerra Coutinho Claudio José Struchiner Luis Fernandez Lopez Annelies Wilder-Smith Marcelo Nascimento Burattini Estimating the size of Aedes aegypti populations from dengue incidence data: Implications for the risk of yellow fever outbreaks Infectious Disease Modelling Aedes aegypti Mosquitoes' densities Dengue Zika virus Yellow fever |
author_facet |
Eduardo Massad Marcos Amaku Francisco Antonio Bezerra Coutinho Claudio José Struchiner Luis Fernandez Lopez Annelies Wilder-Smith Marcelo Nascimento Burattini |
author_sort |
Eduardo Massad |
title |
Estimating the size of Aedes aegypti populations from dengue incidence data: Implications for the risk of yellow fever outbreaks |
title_short |
Estimating the size of Aedes aegypti populations from dengue incidence data: Implications for the risk of yellow fever outbreaks |
title_full |
Estimating the size of Aedes aegypti populations from dengue incidence data: Implications for the risk of yellow fever outbreaks |
title_fullStr |
Estimating the size of Aedes aegypti populations from dengue incidence data: Implications for the risk of yellow fever outbreaks |
title_full_unstemmed |
Estimating the size of Aedes aegypti populations from dengue incidence data: Implications for the risk of yellow fever outbreaks |
title_sort |
estimating the size of aedes aegypti populations from dengue incidence data: implications for the risk of yellow fever outbreaks |
publisher |
KeAi Communications Co., Ltd. |
series |
Infectious Disease Modelling |
issn |
2468-0427 |
publishDate |
2017-11-01 |
description |
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. |
topic |
Aedes aegypti Mosquitoes' densities Dengue Zika virus Yellow fever |
url |
http://www.sciencedirect.com/science/article/pii/S2468042717300507 |
work_keys_str_mv |
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