Literature DB >> 33506250

Yellow fever in Asia-a risk analysis.

Bethan Cracknell Daniels1, Katy Gaythorpe1, Natsuko Imai1, Ilaria Dorigatti1.   

Abstract

BACKGROUND: There is concern about the risk of yellow fever (YF) establishment in Asia, owing to rising numbers of urban outbreaks in endemic countries and globalisation. Following an outbreak in Angola in 2016, YF cases were introduced into China. Prior to this, YF had never been recorded in Asia, despite climatic suitability and the presence of mosquitoes. An outbreak in Asia could result in widespread fatalities and huge economic impact. Therefore, quantifying the potential risk of YF outbreaks in Asia is a public health priority.
METHODS: Using international flight data and YF incidence estimates from 2016, we quantified the risk of YF introduction via air travel into Asia. In locations with evidence of a competent mosquito population, the potential for autochthonous YF transmission was estimated using a temperature-dependent model of the reproduction number and a branching process model assuming a negative binomial distribution.
RESULTS: In total, 25 cities across Asia were estimated to be at risk of receiving at least one YF viraemic traveller during 2016. At their average temperatures, we estimated the probability of autochthonous transmission to be <50% in all cities, which was primarily due to the limited number of estimated introductions that year.
CONCLUSION: Despite the rise in air travel, we found low support for travel patterns between YF endemic countries and Asia resulting in autochthonous transmission during 2016. This supports the historic absence of YF in Asia and suggests it could be due to a limited number of introductions in previous years. Future increases in travel volumes or YF incidence can increase the number of introductions and the risk of autochthonous transmission. Given the high proportion of asymptomatic or mild infections and the challenges of YF surveillance, our model can be used to estimate the introduction and outbreak risk and can provide useful information to surveillance systems. © International Society of Travel Medicine 2021. Published by Oxford University Press.

Entities:  

Keywords:  Aedes; Arbovirus; Flavivirus; Modelling; Outbreak; Surveillance; Travel

Mesh:

Year:  2021        PMID: 33506250      PMCID: PMC8045179          DOI: 10.1093/jtm/taab015

Source DB:  PubMed          Journal:  J Travel Med        ISSN: 1195-1982            Impact factor:   8.490


  80 in total

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6.  Spread of yellow fever virus outbreak in Angola and the Democratic Republic of the Congo 2015-16: a modelling study.

Authors:  Moritz U G Kraemer; Nuno R Faria; Robert C Reiner; Nick Golding; Birgit Nikolay; Stephanie Stasse; Michael A Johansson; Henrik Salje; Ousmane Faye; G R William Wint; Matthias Niedrig; Freya M Shearer; Sarah C Hill; Robin N Thompson; Donal Bisanzio; Nuno Taveira; Heinrich H Nax; Bary S R Pradelski; Elaine O Nsoesie; Nicholas R Murphy; Isaac I Bogoch; Kamran Khan; John S Brownstein; Andrew J Tatem; Tulio de Oliveira; David L Smith; Amadou A Sall; Oliver G Pybus; Simon I Hay; Simon Cauchemez
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Authors:  Shengjie Lai; Michael A Johansson; Wenwu Yin; Nicola A Wardrop; Willem G van Panhuis; Amy Wesolowski; Moritz U G Kraemer; Isaac I Bogoch; Dylain Kain; Aidan Findlater; Marc Choisy; Zhuojie Huang; Di Mu; Yu Li; Yangni He; Qiulan Chen; Juan Yang; Kamran Khan; Andrew J Tatem; Hongjie Yu
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Review 9.  Yellow fever control: current epidemiology and vaccination strategies.

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10.  Risk of yellow fever virus importation into the United States from Brazil, outbreak years 2016-2017 and 2017-2018.

Authors:  Ilaria Dorigatti; Stephanie Morrison; Christl A Donnelly; Tini Garske; Sarah Bowden; Ardath Grills
Journal:  Sci Rep       Date:  2019-12-31       Impact factor: 4.379

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