Social, mobility and contact networks in shaping health behaviours and infectious disease dynamics: a scoping review

This 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.

Authors

Institutions

Publication Details

Journal
Infectious Diseases of Poverty
Published
2025-12-03
DOI
https://doi.org/10.1186/s40249-025-01378-6
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social, mobility and contact networks in shaping health behaviours and infectious disease dynamics: a scoping review

Nick Ruktanonchai, Zhifeng Cheng, Jianghao Wang, Andrew J. Tatem et al.
Infectious Diseases of Poverty
COVID-19 epidemiological studies
article

Social, mobility and contact networks in shaping health behaviours and infectious disease dynamics: a scoping review

Nick Ruktanonchai, Zhifeng Cheng, Jianghao Wang, Andrew J. Tatem, Sen Pei, Shengjie Lai, Amy Wesolowski, Samantha Cockings
article en

Abstract

This 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.

Infectious Diseases of PovertyVol. 14(1)
Johns Hopkins University (US), Chinese Academy of Sciences (CN), Virginia–Maryland College of Veterinary Medicine (US), Institute of Geographic Sciences and Natural Resources Research (CN), University of Southampton (GB), Columbia University (US), Virginia Tech (US)
Openalex Percentile: Top 58%
COVID-19 epidemiological studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.