Improving mobility data for infectious disease research

IF 15.9 1区 心理学 Q1 MULTIDISCIPLINARY SCIENCES Nature Human Behaviour Pub Date : 2025-03-24 DOI:10.1038/s41562-025-02151-3
Natalya Kostandova, Ronan Corgel, Shweta Bansal, Sophie Bérubé, Eimear Cleary, Chelsea Hansen, Matt D. T. Hitchings, Bernardo García-Carreras, Lauren Gardner, Moritz U. G. Kraemer, Shengjie Lai, Yao Li, Amanda C. Perofsky, Giulia Pullano, Jonathan M. Read, Gabriel Ribeiro dos Santos, Henrik Salje, Saki Takahashi, Cécile Viboud, Jasmine Wang, Derek A. T. Cummings, Amy Wesolowski
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Abstract

Mobility data can help to reconstruct infectious disease dynamics and tailor control and elimination measures. We describe three challenges and opportunities to improve our understanding of human mobility for infectious disease research. We call for simulation and modelling, reporting guidelines and investment in data repositories.

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改善传染病研究的流动数据
流动数据可以帮助重建传染病动态,制定控制和消除措施。我们描述了三个挑战和机遇,以提高我们对传染病研究中人类流动性的理解。我们呼吁模拟和建模、报告指南和对数据存储库的投资。
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来源期刊
Nature Human Behaviour
Nature Human Behaviour Psychology-Social Psychology
CiteScore
36.80
自引率
1.00%
发文量
227
期刊介绍: Nature Human Behaviour is a journal that focuses on publishing research of outstanding significance into any aspect of human behavior.The research can cover various areas such as psychological, biological, and social bases of human behavior.It also includes the study of origins, development, and disorders related to human behavior.The primary aim of the journal is to increase the visibility of research in the field and enhance its societal reach and impact.
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