Evaluating community resilience through social media during China's first post-COVID-19 reopening: insights from machine learning.

ABSTRACT:

Background

In the face of pandemics from infectious diseases, enhancing community resilience is increasingly important. It is, therefore, essential to evaluate community resilience and identify factors that can strengthen it. This study aimed to evaluate community resilience by leveraging a data set comprising user information from Weibo and applying interpretable machine learning (ML) techniques to identify the contributions of various indicators underpinning community resilience.

Methods

This cross-sectional study analysed social media data from December 2022 to January 2023. COVID-19-related user interactions were examined as indicators of community resilience within the context of community response. This study introduced an evaluation framework comprising thirteen indic

SUBMITTER: Zhang S 

PROVIDER: S-EPMC12635790 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature