Religion, politics and COVID-19 risk perception among urban residents in Malawi
Bibliographic record
Abstract
INTRODUCTION: Majority of Malawians have not yet adopted COVID-19 mitigation measures despite having knowledge about its infectivity, morbidity, and fatality. Understanding drivers of hesitancy to adoption of COVID-19 mitigation measures is critical as it can inform prevention programs. This study explores Malawians' COVID-19 risk perception, and the associated constraints in the adoption of mitigation efforts. A Health Belief Model (HBM) approach was used to understand perceived factors that undermine public health COVID-19 messages to reduce the spread of the pandemic in Malawi. METHODS: The study applied rapid appraisal and photovoice qualitative inquiry to comprehend risk perception regarding COVID-19. We purposively selected 52 participants from three major cities in Malawi. Audio and video interviews were transcribed verbatim, and transcripts were coded manually to derive key themes and concepts. RESULTS: The study identified that social factors particularly religious and political beliefs influenced COVID-19 risk perception. Specific religious beliefs pertaining to individuals recognizing signs of the 'Christian apocalypse' were particularly associated with lower risk perceptions. Politically, participants believed COVID-19 lockdown measures were a ploy by the then-ruling party to remain in power. CONCLUSION: The study suggests that religious beliefs and political environment undermine self -perceived risk of contracting COVID-19 among urban dwellers in Malawi. We recommend that diverse actors in Malawi should collaborate to promote the dissemination of accurate COVID-19 discourses and reduce the severity of the pandemic's impact in Malawi.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".