Cargando…

Modelling the large-scale yellow fever outbreak in Luanda, Angola, and the impact of vaccination

BACKGROUND: Yellow fever (YF), transmitted via bites of infected mosquitoes, is a life-threatening viral disease endemic to tropical and subtropical regions of Africa and South America. YF has largely been controlled by widespread national vaccination campaigns. Nevertheless, between December 2015 a...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Shi, Stone, Lewi, Gao, Daozhou, He, Daihai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798855/
https://www.ncbi.nlm.nih.gov/pubmed/29338001
http://dx.doi.org/10.1371/journal.pntd.0006158
_version_ 1783297912902516736
author Zhao, Shi
Stone, Lewi
Gao, Daozhou
He, Daihai
author_facet Zhao, Shi
Stone, Lewi
Gao, Daozhou
He, Daihai
author_sort Zhao, Shi
collection PubMed
description BACKGROUND: Yellow fever (YF), transmitted via bites of infected mosquitoes, is a life-threatening viral disease endemic to tropical and subtropical regions of Africa and South America. YF has largely been controlled by widespread national vaccination campaigns. Nevertheless, between December 2015 and August 2016, YF resurged in Angola, quickly spread and became the largest YF outbreak for the last 30 years. Recently, YF resurged again in Brazil (December 2016). Thus, there is an urgent need to gain better understanding of the transmission pattern of YF. MODEL: The present study provides a refined mathematical model, combined with modern likelihood-based statistical inference techniques, to assess and reconstruct important epidemiological processes underlying Angola’s YF outbreak. This includes the outbreak’s attack rate, the reproduction number ([Image: see text] ), the role of the mosquito vector, the influence of climatic factors, and the unusual but noticeable appearance of two-waves in the YF outbreak. The model explores actual and hypothetical vaccination strategies, and the impacts of possible human reactive behaviors (e.g., response to media precautions). FINDINGS: While there were 73 deaths reported over the study period, the model indicates that the vaccination campaign saved 5.1-fold more people from death and saved from illness 5.6-fold of the observed 941 cases. Delaying the availability of the vaccines further would have greatly worsened the epidemic in terms of increased cases and deaths. The analysis estimated a mean [Image: see text] and an attack rate of 0.09-0.15% (proportion of population infected) over the whole period from December 2015 to August 2016. Our estimated lower and upper bounds of [Image: see text] are in line with previous studies. Unusually, [Image: see text] oscillated in a manner that was “delayed” with the reported deaths. High recent number of deaths were associated (followed) with periods of relatively low disease transmission and low [Image: see text] , and vice-versa. The time-series of Luanda’s YF cases suggest the outbreak occurred in two waves, a feature that would have become far more prominent had there been no mass vaccination. The waves could possibly be due to protective reactive behavioral changes of the population affecting the mosquito population. The second wave could well be an outcome of the March-April rainfall patterns in the 2016 El Niño year by creating ideal conditions for the breeding of the mosquito vectors. The modelling framework is a powerful tool for studying future YF epidemic outbreaks, and provides a basis for future vaccination campaign evaluations.
format Online
Article
Text
id pubmed-5798855
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-57988552018-02-23 Modelling the large-scale yellow fever outbreak in Luanda, Angola, and the impact of vaccination Zhao, Shi Stone, Lewi Gao, Daozhou He, Daihai PLoS Negl Trop Dis Research Article BACKGROUND: Yellow fever (YF), transmitted via bites of infected mosquitoes, is a life-threatening viral disease endemic to tropical and subtropical regions of Africa and South America. YF has largely been controlled by widespread national vaccination campaigns. Nevertheless, between December 2015 and August 2016, YF resurged in Angola, quickly spread and became the largest YF outbreak for the last 30 years. Recently, YF resurged again in Brazil (December 2016). Thus, there is an urgent need to gain better understanding of the transmission pattern of YF. MODEL: The present study provides a refined mathematical model, combined with modern likelihood-based statistical inference techniques, to assess and reconstruct important epidemiological processes underlying Angola’s YF outbreak. This includes the outbreak’s attack rate, the reproduction number ([Image: see text] ), the role of the mosquito vector, the influence of climatic factors, and the unusual but noticeable appearance of two-waves in the YF outbreak. The model explores actual and hypothetical vaccination strategies, and the impacts of possible human reactive behaviors (e.g., response to media precautions). FINDINGS: While there were 73 deaths reported over the study period, the model indicates that the vaccination campaign saved 5.1-fold more people from death and saved from illness 5.6-fold of the observed 941 cases. Delaying the availability of the vaccines further would have greatly worsened the epidemic in terms of increased cases and deaths. The analysis estimated a mean [Image: see text] and an attack rate of 0.09-0.15% (proportion of population infected) over the whole period from December 2015 to August 2016. Our estimated lower and upper bounds of [Image: see text] are in line with previous studies. Unusually, [Image: see text] oscillated in a manner that was “delayed” with the reported deaths. High recent number of deaths were associated (followed) with periods of relatively low disease transmission and low [Image: see text] , and vice-versa. The time-series of Luanda’s YF cases suggest the outbreak occurred in two waves, a feature that would have become far more prominent had there been no mass vaccination. The waves could possibly be due to protective reactive behavioral changes of the population affecting the mosquito population. The second wave could well be an outcome of the March-April rainfall patterns in the 2016 El Niño year by creating ideal conditions for the breeding of the mosquito vectors. The modelling framework is a powerful tool for studying future YF epidemic outbreaks, and provides a basis for future vaccination campaign evaluations. Public Library of Science 2018-01-16 /pmc/articles/PMC5798855/ /pubmed/29338001 http://dx.doi.org/10.1371/journal.pntd.0006158 Text en © 2018 Zhao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhao, Shi
Stone, Lewi
Gao, Daozhou
He, Daihai
Modelling the large-scale yellow fever outbreak in Luanda, Angola, and the impact of vaccination
title Modelling the large-scale yellow fever outbreak in Luanda, Angola, and the impact of vaccination
title_full Modelling the large-scale yellow fever outbreak in Luanda, Angola, and the impact of vaccination
title_fullStr Modelling the large-scale yellow fever outbreak in Luanda, Angola, and the impact of vaccination
title_full_unstemmed Modelling the large-scale yellow fever outbreak in Luanda, Angola, and the impact of vaccination
title_short Modelling the large-scale yellow fever outbreak in Luanda, Angola, and the impact of vaccination
title_sort modelling the large-scale yellow fever outbreak in luanda, angola, and the impact of vaccination
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798855/
https://www.ncbi.nlm.nih.gov/pubmed/29338001
http://dx.doi.org/10.1371/journal.pntd.0006158
work_keys_str_mv AT zhaoshi modellingthelargescaleyellowfeveroutbreakinluandaangolaandtheimpactofvaccination
AT stonelewi modellingthelargescaleyellowfeveroutbreakinluandaangolaandtheimpactofvaccination
AT gaodaozhou modellingthelargescaleyellowfeveroutbreakinluandaangolaandtheimpactofvaccination
AT hedaihai modellingthelargescaleyellowfeveroutbreakinluandaangolaandtheimpactofvaccination