Evaluating community resilience through social media during China’s first post-COVID-19 reopening: insights from machine learning
This study is the first to harness social media data to quantify community resilience in mainland China. Five indicators associated with enhanced community resilience are identified as potential predictors that can inform governmental strategies and strengthen decision-making support for improving health emergency responses.
Authors
- Jiayi Weng (ORCID: https://orcid.org/0000-0003-4918-4376)
- Danijela Gašević (ORCID: https://orcid.org/0000-0001-5976-4011)
- Lanyue Zhang (ORCID: https://orcid.org/0000-0002-5153-5473)
- Shouchuang Zhang (ORCID: https://orcid.org/0009-0000-3868-4688)
- Larry Z. Liu
- Weiyan Jian (ORCID: https://orcid.org/0000-0003-4886-7263)
- Jun Zhang (ORCID: https://orcid.org/0000-0001-6241-9737)
- Z. J. Chen (ORCID: https://orcid.org/0009-0002-6801-3564)
- Yuehui Wei
Institutions
- Merck & Co., Inc., Rahway, NJ, USA (United States) (US)
- University of Washington (US)
- Peking University (CN)
- Cornell University (US)
- National Health and Family Planning Commission (CN)
- Monash University (AU)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Journal of Global Health
- Published
- 2025-11-21
- DOI
- https://doi.org/10.7189/jogh.15.04315
- Primary Topic
- Disaster Management and Resilience
- Type
- article
- Field-Weighted Citation Impact
- 0.00