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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2017
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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. |
format | Online Article Text |
id | pubmed-6002028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
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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