Climate Change Data Portal
DOI | 10.1073/pnas.1920986117 |
Heterogeneity in social and epidemiological factors determines the risk of measles outbreaks | |
Bosetti P.; Poletti P.; Stella M.; Lepri B.; Merler S.; de Domenico M. | |
发表日期 | 2020 |
ISSN | 0027-8424 |
起始页码 | 30118 |
结束页码 | 30125 |
卷号 | 117期号:48 |
英文摘要 | Political and environmental factors—e.g., regional conflicts and global warming—increase large-scale migrations, posing extraordinary societal challenges to policymakers of destination countries. A common concern is that such a massive arrival of people—often from a country with a disrupted healthcare system—can increase the risk of vaccine-preventable disease outbreaks like measles. We analyze human flows of 3.5 million (M) Syrian refugees in Turkey inferred from massive mobile-phone data to verify this concern. We use multilayer modeling of interdependent social and epidemic dynamics to demonstrate that the risk of disease reemergence in Turkey, the main host country, can be dramatically reduced by 75 to 90% when the mixing of Turkish and Syrian populations is high. Our results suggest that maximizing the dispersal of refugees in the recipient population contributes to impede the spread of sustained measles epidemics, rather than favoring it. Targeted vaccination campaigns and policies enhancing social integration of refugees are the most effective strategies to reduce epidemic risks for all citizens. © 2020 National Academy of Sciences. All rights reserved. |
英文关键词 | Human mobility; Infectious diseases; Multiplex networks; Population dynamics |
语种 | 英语 |
来源期刊 | Proceedings of the National Academy of Sciences of the United States of America |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/160706 |
作者单位 | Bosetti, P., Center for Information and Communications Technology, Fondazione Bruno Kessler, Povo (Trento), 38123, Italy, Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, 75015, France; Poletti, P., Center for Information and Communications Technology, Fondazione Bruno Kessler, Povo (Trento), 38123, Italy; Stella, M., Center for Information and Communications Technology, Fondazione Bruno Kessler, Povo (Trento), 38123, Italy; Lepri, B., Center for Information and Communications Technology, Fondazione Bruno Kessler, Povo (Trento), 38123, Italy; Merler, S., Center for Information and Communications Technology, Fondazione Bruno Kessler, Povo (Trento), 38123, Italy; de Domenico, M., Center for Information and Communications Technology, Fondazione Bruno Kessler, Povo (Trento), 38123, Italy |
推荐引用方式 GB/T 7714 | Bosetti P.,Poletti P.,Stella M.,et al. Heterogeneity in social and epidemiological factors determines the risk of measles outbreaks[J],2020,117(48). |
APA | Bosetti P.,Poletti P.,Stella M.,Lepri B.,Merler S.,&de Domenico M..(2020).Heterogeneity in social and epidemiological factors determines the risk of measles outbreaks.Proceedings of the National Academy of Sciences of the United States of America,117(48). |
MLA | Bosetti P.,et al."Heterogeneity in social and epidemiological factors determines the risk of measles outbreaks".Proceedings of the National Academy of Sciences of the United States of America 117.48(2020). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。