气候变化领域集成服务门户(CCPortal): Cell-phone traces reveal infection-associated behavioral change

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DOI	10.1073/pnas.2005241118
	Cell-phone traces reveal infection-associated behavioral change
	Vigfusson Y.; Karlsson T.A.; Onken D.; Song C.; Einarsson A.F.; Kishore N.; Mitchell R.M.; Brooks-Pollock E.; Sigmundsdottir G.; Danon L.
发表日期	2021
ISSN	00278424
卷号	118 期号:6
英文摘要	Epidemic preparedness depends on our ability to predict the trajectory of an epidemic and the human behavior that drives spread in the event of an outbreak. Changes to behavior during an outbreak limit the reliability of syndromic surveillance using large-scale data sources, such as online social media or search behavior, which could otherwise supplement healthcare-based outbreak-prediction methods. Here, we measure behavior change reflected in mobile-phone call-detail records (CDRs), a source of passively collected real-time behavioral information, using an anonymously linked dataset of cell-phone users and their date of influenza-like illness diagnosis during the 2009 H1N1v pandemic. We demonstrate that mobile-phone use during illness differs measurably from routine behavior: Diagnosed individuals exhibit less movement than normal (1.1 to 1.4 fewer unique tower locations; P < 3.2 × 10−3), on average, in the 2 to 4 d around diagnosis and place fewer calls (2.3 to 3.3 fewer calls; P < 5.6 × 10−4) while spending longer on the phone (41- to 66-s average increase; P < 4.6 × 10−10) than usual on the day following diagnosis. The results suggest that anonymously linked CDRs and health data may be sufficiently granular to augment epidemic surveillance efforts and that infectious disease-modeling efforts lacking explicit behavior-change mechanisms need to be revisited. © 2021 National Academy of Sciences. All rights reserved.
英文关键词	Call detail records; Disease; Influenza; Outbreak; Surveillance
语种	英语
scopus关键词	Article; behavior change; biological trait; controlled study; data processing; disease association; disease surveillance; human; Iceland; influenza; information processing; pandemic; priority journal
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/180775
作者单位	Simbiosys Lab, Department of Computer Science, Emory University, Atlanta, GA 30322, United States; School of Computer Science, Reykjavik University, Reykjavik, 101, Iceland; Department of Computer Science, Cornell University, Ithaca, NY 14853, United States; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, United States; Department of Veterinary Medicine, Population Health Sciences, University of Bristol, Oakfield Grove, Bristol, BS8 2BN, United Kingdom; Landspitali University Hospital, Reykjavik, 101, Iceland; Centre for Health Security and Communicable Disease Control, Reykjavik, 101, Iceland; Department of Engineering Mathematics, University of Bristol, Bristol, BS8 1TW, United Kingdom; The Alan Turing Institute, British Library, London, NW1 2DB, United Kingdom
推荐引用方式 GB/T 7714	Vigfusson Y.,Karlsson T.A.,Onken D.,et al. Cell-phone traces reveal infection-associated behavioral change[J],2021,118(6).
APA	Vigfusson Y..,Karlsson T.A..,Onken D..,Song C..,Einarsson A.F..,...&Danon L..(2021).Cell-phone traces reveal infection-associated behavioral change.Proceedings of the National Academy of Sciences of the United States of America,118(6).
MLA	Vigfusson Y.,et al."Cell-phone traces reveal infection-associated behavioral change".Proceedings of the National Academy of Sciences of the United States of America 118.6(2021).