2018年巴西旅游者黄热病高发风险建模。

Q1 Mathematics
Yohei Sakamoto, Takayuki Yamaguchi, Nao Yamamoto, Hiroshi Nishiura
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引用次数: 0

摘要

背景:与 2016 年至 17 年巴西黄热病疫情主要局限于米纳斯吉拉斯州和圣埃斯皮里图州不同,2017 年至 18 年的疫情主要涉及圣保罗州和里约热内卢州,并导致多次国际传播。为了解这一观察结果背后的机制,本研究分析了2018年巴西输入病例的分布情况:我们采用了一个统计模型来捕捉从巴西回国的国际旅行者输入黄热病的风险。我们通过人均国内生产总值衡量的富裕程度来估算旅行者输入黄热病的相对风险,并通过随机分配旅行者在巴西境内的目的地来估算相对人口规模所获得的相对风险:上半部富裕国家的进口风险是其余国家的 2.1 至 3.4 倍。即使在人均国内生产总值较低的一半国家中,输入风险也比假设旅行者在巴西境内的感染风险由地区人口规模决定的情况高出 2.5 至 2.8 倍:来自富裕国家的旅行者罹患黄热病的风险较高,因此我们推测,旅行者的当地目的地和高感染风险行为可能是决定异质性输入风险的关键因素。我们建议向旅行者告知黄热病正在传播的地域,如果不可避免地要去曾发生过输入性病例的旅游目的地,则必须强烈建议旅行者提前接种疫苗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Modeling the elevated risk of yellow fever among travelers visiting Brazil, 2018.

Modeling the elevated risk of yellow fever among travelers visiting Brazil, 2018.

Modeling the elevated risk of yellow fever among travelers visiting Brazil, 2018.

Modeling the elevated risk of yellow fever among travelers visiting Brazil, 2018.

Background: Unlike the epidemic of yellow fever from 2016 to 17 in Brazil mostly restricted to the States of Minas Gerais and Espirito Santo, the epidemic from 2017 to 18 mainly involved São Paulo and Rio de Janeiro and resulted in multiple international disseminations. To understand mechanisms behind this observation, the present study analyzed the distribution of imported cases from Brazil, 2018.

Methods: A statistical model was employed to capture the risk of importing yellow fever by returning international travelers from Brazil. We estimated the relative risk of importation among travelers by the extent of wealth measured by GDP per capita and the relative risk obtained by random assignment of travelers' destination within Brazil by the relative population size.

Results: Upper-half wealthier countries had 2.1 to 3.4 times greater risk of importation than remainders. Even among countries with lower half of GDP per capita, the risk of importation was 2.5 to 2.8 times greater than assuming that the risk of travelers' infection within Brazil is determined by the regional population size.

Conclusions: Travelers from wealthier countries were at elevated risk of yellow fever, allowing us to speculate that travelers' local destination and behavior at high risk of infection are likely to act as a key determinant of the heterogeneous risk of importation. It is advised to inform travelers over the ongoing geographic foci of transmission, and if it appears unavoidable to visit tourist destination that has the history of producing imported cases, travelers must be strongly advised to receive vaccination in advance.

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来源期刊
Theoretical Biology and Medical Modelling
Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-
自引率
0.00%
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0
审稿时长
6-12 weeks
期刊介绍: Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.
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