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Updated: May 12, 2026

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Published on: September 5, 2025
Pandemic fatigue and associated factors: a meta-analysis using the COM-B model
Jin Zhao1, Jiayu Wang2, Luo Jiang1
1Key Laboratory of Environmental Medicine Engineering, Ministry of Education, Department of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Background:
Pandemic fatigue during the prolonged COVID-19 crisis undermines sustained engagement with protective measures and public health messaging. Existing studies provide heterogeneous prevalence estimates and disparate lists of correlates but lack a unified, theory-driven synthesis.
Methods:
Searches were conducted in six databases up until March 2026. This study synthesized the prevalence of pandemic fatigue and factors associated with it during COVID-19 using the COM-B model and TDF theory.
Results:
Twenty-three cross-sectional studies (n = 49,285) were included. The pooled prevalence of pandemic fatigue was 51% (95%CI: 0.38, 0.65), with substantial heterogeneity. Health literacy (Capability) was inversely associated with fatigue (β = -0.257, 95%CI: -0.404, -0.110). Opportunity-related stressors-including bereavement due to COVID-19 (β = 0.281, 95%CI: 0.124, 0.437), daily troubles (β = 0.296, 95%CI:0.211, 0.380), and working student status (β = 0.232, 95%CI: 0.122, 0.341)-were positively associated with pandemic fatigue. Motivation-related factors showed mixed associations, whereas negative emotional states were associated with higher odds of pandemic fatigue.
Conclusion:
Pandemic fatigue is common and was associated with diverse capability-, opportunity-, and motivation-related factors. A COM-B-informed interpretation suggests multi-level strategies that combine skills building, supportive environments, and psychosocial support.
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