中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Social, mobility and contact networks in shaping health behaviours and infectious disease dynamics: a scoping review

文献类型:期刊论文

作者Cheng, Zhifeng2; Ruktanonchai, Nick W.3; Wesolowski, Amy4; Pei, Sen5; Wang, Jianghao1; Cockings, Samantha2; Tatem, Andrew J.2; Lai, Shengjie2,6
刊名INFECTIOUS DISEASES OF POVERTY
出版日期2025-12-03
卷号14期号:1页码:123
关键词Social networks Mobility and contact networks Behavioural contagion Multiplex networks Generative agent-based models Infectious disease modelling
ISSN号2095-5162
DOI10.1186/s40249-025-01378-6
产权排序5
文献子类Review
英文摘要BackgroundThe interconnectedness of human society in this modern world can transform localised outbreaks into global pandemics, underscoring the pivotal roles of social, mobility and contact networks in shaping infectious disease dynamics. Although these networks share analogous contagion principles, they are often studied in isolation, hindering the incorporation of behavioural, informational, and epidemiological processes into disease models. This review synthesises current research on the interplay between social, mobility and contact networks in health behaviour contagion and infectious disease transmission.MethodsWe searched Web-of-Science and PubMed from January 2000 to June 2025 for research on health behaviour contagion and information dissemination in social networks, pathogen spread through mobility and contact networks, and their joint impacts on epidemic dynamics. This was first done by a preliminary literature screening based on predefined criteria. With potentially relevant publications retained, we performed keyword co-occurrence network analysis to identify the most common themes in studies. The results guide us to narrow down the reviewing scope to the social, mobility and contact network impacts on informational, behavioural, and epidemiological dynamics. We then further identified and reviewed the literature on these multidimensional network influences.ResultsOur review finds that each network type plays a distinct yet interconnected role in shaping behaviours and disease dynamics. Social networks, comprising both online and offline interpersonal relationships, facilitate the dissemination of health information and influence behavioural responses to public health interventions. Concurrently, mobility and contact networks govern the spatiotemporal pathways of pathogen transmission, as demonstrated in recent pandemics. While traditional population-level models often overlook individual discrepancies and social network effects, significant efforts have been made through developing individual-level simulation-based models that integrate behavioural dynamics. With emerging new data sources and advanced computational techniques, two promising approaches-multiplex network analysis and generative agent-based modelling-offer frameworks for integrating the complex interdependencies among social, mobility and contact networks into epidemic dynamics estimation.ConclusionsThis review highlights the theoretical and methodological advances in network-based infectious disease modelling and identifies critical knowledge and research gaps. Future research should prioritise integrating multi-source behavioural and spatial data, unifying modelling strategies, and developing scalable approaches for incorporating multilayer network data. The integrated approach will strengthen public health strategies, enabling equitable and effective interventions against emerging infections.
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WOS关键词TRANSMISSION DYNAMICS ; ALCOHOL-CONSUMPTION ; SUPER-SPREADERS ; CITIZEN SCIENCE ; OUTBREAK ; SARS ; INTERVENTIONS ; EPIDEMICS ; COVID-19 ; IMPACT
WOS研究方向Infectious Diseases ; Parasitology ; Tropical Medicine
语种英语
WOS记录号WOS:001629049800001
出版者BMC
源URL[http://ir.igsnrr.ac.cn/handle/311030/219382]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Cheng, Zhifeng; Lai, Shengjie
作者单位1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China;
2.Univ Southampton, Sch Geog & Environm Sci, Southampton SO17 1BJ, England;
3.Virginia Tech, VA MD Coll Vet Med, Dept Populat Hlth Sci, Blacksburg, VA 24061 USA;
4.Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD 21205 USA;
5.Columbia Univ, Mailman Sch Publ Hlth, Dept Environm Hlth Sci, New York, NY 10032 USA;
6.Univ Southampton, Inst Life Sci, Southampton SO17 1BJ, England
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GB/T 7714
Cheng, Zhifeng,Ruktanonchai, Nick W.,Wesolowski, Amy,et al. Social, mobility and contact networks in shaping health behaviours and infectious disease dynamics: a scoping review[J]. INFECTIOUS DISEASES OF POVERTY,2025,14(1):123.
APA Cheng, Zhifeng.,Ruktanonchai, Nick W..,Wesolowski, Amy.,Pei, Sen.,Wang, Jianghao.,...&Lai, Shengjie.(2025).Social, mobility and contact networks in shaping health behaviours and infectious disease dynamics: a scoping review.INFECTIOUS DISEASES OF POVERTY,14(1),123.
MLA Cheng, Zhifeng,et al."Social, mobility and contact networks in shaping health behaviours and infectious disease dynamics: a scoping review".INFECTIOUS DISEASES OF POVERTY 14.1(2025):123.

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来源:地理科学与资源研究所

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