COVID-19, Equity and Men’s Health
Bibliographic record
Abstract
In March 2020, the World Health Organization (WHO) announced that COVID-19 (novel coronavirus) reflected a global pandemic. Early epidemiological analyses demonstrated that boys and men have similar rates of COVID-19 infection to girls and women. However, boys and men appear to be disproportionately impacted with respect to severity and mortality, including those from marginalised or minority backgrounds. Yet, considerations of sex and gender, and their relationship to health and social inequities, have been absent from recent COVID-19 policy and practice pandemic responses. This evidence-based commentary discusses the nexus between COVID-19, equity, and boys and men’s health from a broad public health perspective. Using scholarship about intersections between race and gender; and poverty, social determinants of health, and gender; we explain why a health equity lens is important to address the health and social inequities boys and men face during pandemics. This contribution provides guidance about future global public health pandemic responses for society’s most vulnerable groups of boys and men.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".