COVID-19 spreading patterns in family clusters reveal gender roles in China

Author:

Liao Jingyi12,Liu Xiao Fan3,Xu Xiao-Ke456,Zhou Tao1

Affiliation:

1. Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, People's Republic of China

2. Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, People's Republic of China

3. Web Mining Laboratory, Department of Media and Communication, City University of Hong Kong, Hong Kong SAR, People's Republic of China

4. Computational Communication Research Center, Beijing Normal University, Zhuhai 519087, People's Republic of China

5. School of Journalism and Communication, Beijing Normal University, Beijing 100875, People's Republic of China

6. College of Information and Communication Engineering, Dalian Minzu University, Dalian, People's Republic of China

Abstract

Understanding different gender roles forms part of the efforts to reduce gender inequality. This paper analyses COVID-19 family clusters outside Hubei Province in mainland China during the 2020 outbreak, revealing significant differences in spreading patterns across gender and family roles. Results show that men are more likely to be the imported cases of a family cluster, and women are more likely to be infected within the family. This finding provides new supportive evidence of the ‘men as breadwinner and women as homemaker’ (MBWH) gender roles in China. Further analyses reveal that the MBWH pattern is stronger in eastern than in western China, stronger for younger than for elder people. This paper offers not only valuable references for formulating gender-differentiated epidemic prevention policies but also an exemplification for studying group differences in similar scenarios.

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

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