Social contact patterns and their impact on the transmission of respiratory pathogens in rural China

We found many intergenerational households and contacts that pose challenges in preventing and controlling infections among the elderly in rural China. Our study also underscores the importance of integrating various types of contact pattern data into epidemiological models and provides guidance to public health authorities and other major stakeholders in preparing and responding to infectious disease threats in rural China.

Authors

Institutions

Publication Details

Journal
Infectious Disease Modelling
Published
2024-12-10
DOI
https://doi.org/10.1016/j.idm.2024.12.006
Citations
1
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social contact patterns and their impact on the transmission of respiratory pathogens in rural China

Qian You, Maria Litvinova, Xuemei Yan, Mark Jit et al.
1 citations
Infectious Disease Modelling
COVID-19 epidemiological studies
0.40
article

Social contact patterns and their impact on the transmission of respiratory pathogens in rural China

Qian You, Maria Litvinova, Xuemei Yan, Mark Jit, Jiaxin Zhou, Juanjuan Zhang, Hongjie Yu, Guangjie Zhong, Qianli Wang, Marco Ajelli, Nuolan Liu, Yuxia Liang, Wanying Lu, Zeyao Zhao, Jiqun Lin, Peng Cheng, Kaige Dong, Xiaohong Yang
article en
1 citations

Abstract

We found many intergenerational households and contacts that pose challenges in preventing and controlling infections among the elderly in rural China. Our study also underscores the importance of integrating various types of contact pattern data into epidemiological models and provides guidance to public health authorities and other major stakeholders in preparing and responding to infectious disease threats in rural China.

Infectious Disease ModellingVol. 10(2)
Fudan University (CN), Hunan Provincial Center for Disease Control and Prevention (CN), London School of Hygiene & Tropical Medicine (GB), Indiana University Bloomington (US), Faculty of Public Health (GB), Huashan Hospital (CN)
Government of the United Kingdom, National Institute for Health and Care Research, Department of Health and Social Care, National Natural Science Foundation of China, Shanghai Rising-Star Program
Openalex Percentile: Top 38%
COVID-19 epidemiological studies
0.40
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.