Heterogeneity in social and epidemiological factors determines the risk of measles outbreaks

被引:24
作者
Bosetti, Paolo [1 ,2 ]
Poletti, Piero [1 ]
Stella, Massimo [1 ]
Lepri, Bruno [1 ]
Merler, Stefano [1 ]
De Domenico, Manlio [1 ]
机构
[1] Fdn Bruno Kessler, Ctr Informat & Commun Technol, I-38123 Povo, Trento, Italy
[2] Inst Pasteur, Math Modelling Infect Dis Unit, CNRS, UMR2000, F-75015 Paris, France
关键词
multiplex networks; human mobility; infectious diseases; population dynamics; HUMAN MOBILITY; PREDICTABILITY; INFECTION; MIGRATION; RUBELLA; SPREAD; HEALTH; RATES;
D O I
10.1073/pnas.1920986117
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
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.
引用
收藏
页码:30118 / 30125
页数:8
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