Muslim communities and Covid-19: A report on the impacts of the Coronavirus pandemic on Muslims in Birmingham
Bibliographic record
Abstract
The Covid-19 pandemic impacted on Muslim communities in Birmingham in a number of distinctive ways for Muslims as a faith group. National level data on ethnicity and Covid-19 indicates that groups which are predominantly Muslim, namely Bangladeshi and Pakistani groups, were among those most severely impacted in the first wave of the pandemic. As the second and third waves of the pandemic played out, mortality risks from Covid-19 remained highest for individuals of Bangladeshi backgrounds, with Pakistani groups also remaining at an elevated level of risk. Findings from our stage 1 questionnaire carried out with 72 Muslims living in Birmingham as a scoping exercise indicated that disparate health impacts experienced by participants were broadly consistent with the above. Around 21% of participants reported working in an environment with an elevated risk of exposure to Covid 19, and this is higher than the national average for the proportion of key workers from minority ethnic groups, who made up 14% of key workers in the first quarter of the pandemic (ONS 2020). 51% of participants reported experiencing stress or anxiety, with this appearing to impact most for those aged 25-34, with 68% reporting stress or anxiety directly resulting from the pandemic. 32% of all participants reported a change in prayer habits with 51% of men reporting a change compared with just 10% of women. The proportion of participants who were unvaccinated was 18%, which is 5.5 percentage points higher than the national average for Bangladeshi groups of 12.5%, and 2 percentage points higher than the national average of 16% for Pakistani groups (ONS 2022c). When broken down across ethnic group, 25% of participants who identified as Bangladeshi were unvaccinated compared with 13% of Pakistani participants. This shows that whilst the proportion of participants who identified as Pakistani that were unvaccinated is lower than the national average by two percentage points, the proportion of Bangladeshi participants who were unvaccinated was double the proportion of Bangladeshis who were unvaccinated in the national population.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".