A systematic review of fear, stigma, and mental health outcomes of pandemics
Bibliographic record
Abstract
BACKGROUND: The COVID-19 pandemic has negatively affected the mental health of people globally. Despite substantial research on the short-term psychological impact of COVID-19, its long-term consequences on mental health remain relatively unexplored. AIMS: We aimed to examine mental health literature on prior outbreaks to provide recommendations for developing effective strategies to mitigate the short- and long-term psychological impact of the current pandemic. METHODS: We conducted a narrative review of 41 studies to analyze the adverse impact of the following epidemics and pandemics on the mental health of individuals, groups, and communities: Middle East Respiratory Syndrome, Severe Acute Respiratory Syndrome, Influenza A/H1N1, and Ebola Virus Disease. RESULTS: We noted that these past epidemics and pandemics escalated stress, distress, anxiety, fear, and stigma that persisted in countries and communities. We also identified the role of misinformation in propagating discrimination and prejudice towards certain groups. CONCLUSIONS: We discuss how the mental health outcomes of previous pandemics differed from the COVID-19 outbreak. We believe that strategies that reduce misinformation, educational initiatives, and mental health programs when introduced at the individual and community level have the potential to effectively diminish the negative psychological impact of COVID-19. PRISMA: This study followed the PRISMA guidance and was not registered in PROSPERO. This is a narrative review that used qualitative thematic analysis. Publishing a protocol on a protocol repository for such reviews is not the standard of practice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".