ArticleFrontiers in psychology2022
The impact of major public health emergencies on Trust in Government: From SARS to COVID-19.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- The role of trust in engaging community-based task forces and agencies among minoritized communities during a public health emergency.Canadian journal of public health = Revue canadienne de sante publique · 2026Article
- Beyond coexistence: the asymmetric interplay of health risk and promotion pathways driven by communication legacies across emerging and recurring epidemics.Frontiers in public health · 2026Article
- Trust, trust repair, and public health: a scoping review.Frontiers in public health · 2025Article
- Current status of nurses' public health emergency response capacity for emerging infectious disease: a cross-sectional study.Frontiers in public health · 2025Article
- Online rumors during the COVID-19 pandemic: co-evolution of themes and emotions.Frontiers in public health · 2024Article
- Essential Factors on Effective Response at the Onset of the COVID-19 Pandemic Comment on "Experiences and Implications of the First Wave of the COVID-19 Emergency in Italy: A Social Science Perspective".International journal of health policy and management · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Major public health emergencies always test the credibility of the government. The success of governments' strategies relies on trust in government and broad acceptance of response measures. The profound experience of the epidemic often has a long-term impact on people's cognition. We construct a difference-in-difference estimator by combining the variations of epidemic effects across cohorts and regions, and intend to evaluate the long-term effect of individuals' early SARS experience on trust in government during the COVID-19 pandemic. We also use the instrumental variable method to overcome the endogenous problem caused by two-way causality. The results show that the impact of COVID-19 has significantly reduced trust in government of the groups who had not been exposed to the SARS epidemic (including groups who were in early childhood and the unborn during the SARS outbreak). While it has a positive impact on trust in government of people experienced SARS in adolescence, and only a little negative impact on trust in government of people experienced SARS in adulthood. We also find that the impact of COVID-19 mainly reduced the trust in government among groups socially vulnerable or without SARS experience (e.g., low income, low social status etc.). The results suggest that: (a) the trust created by governments' successful anti-epidemic measures is long-lasting; (b) governments should pay more attention to their trust among socially vulnerable groups.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.