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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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Detalles Bibliográficos
Autores principales: Massad, Eduardo, Amaku, Marcos, Coutinho, Francisco Antonio Bezerra, Struchiner, Claudio José, Lopez, Luis Fernandez, Wilder-Smith, Annelies, Burattini, Marcelo Nascimento
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002028/
https://www.ncbi.nlm.nih.gov/pubmed/30137722
http://dx.doi.org/10.1016/j.idm.2017.12.001
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author Massad, Eduardo
Amaku, Marcos
Coutinho, Francisco Antonio Bezerra
Struchiner, Claudio José
Lopez, Luis Fernandez
Wilder-Smith, Annelies
Burattini, Marcelo Nascimento
author_facet Massad, Eduardo
Amaku, Marcos
Coutinho, Francisco Antonio Bezerra
Struchiner, Claudio José
Lopez, Luis Fernandez
Wilder-Smith, Annelies
Burattini, Marcelo Nascimento
author_sort Massad, Eduardo
collection PubMed
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.
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spelling pubmed-60020282018-06-20 Estimating the size of Aedes aegypti populations from dengue incidence data: Implications for the risk of yellow fever outbreaks Massad, Eduardo Amaku, Marcos Coutinho, Francisco Antonio Bezerra Struchiner, Claudio José Lopez, Luis Fernandez Wilder-Smith, Annelies Burattini, Marcelo Nascimento Infect Dis Model Article 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. KeAi Publishing 2017-12-08 /pmc/articles/PMC6002028/ /pubmed/30137722 http://dx.doi.org/10.1016/j.idm.2017.12.001 Text en © 2017 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Massad, Eduardo
Amaku, Marcos
Coutinho, Francisco Antonio Bezerra
Struchiner, Claudio José
Lopez, Luis Fernandez
Wilder-Smith, Annelies
Burattini, Marcelo Nascimento
Estimating the size of Aedes aegypti populations from dengue incidence data: Implications for the risk of yellow fever outbreaks
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002028/
https://www.ncbi.nlm.nih.gov/pubmed/30137722
http://dx.doi.org/10.1016/j.idm.2017.12.001
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