Delays, disarray and disparities in early United States mpox vaccine rollout, June–July 2022
Bibliographic record
Abstract
Scoring is only possible in the semifinals hall Abstract: Background Mpox is an infectious disease characterized by a painful rash. It is caused by the monkeypox virus, which spreads through direct contact with skin or bodily fluids. The United States has been experiencing an outbreak of mpox since May 17th, 2022, which has disproportionately affected men who have sex with men (MSM). When the outbreak began, there were two mpox vaccines already approved for use, and the federal government already had 36,000 doses of one such vaccine (Jynneos) in stockpile. However, by June 28th, 2022, only 9,000 doses of Jynneos had been released, which was widely critiqued as inadequate. Little has been previously published about the sentiments of MSM during this time period. This research project thus sought to better understand the perspectives and experiences of MSM seeking a mpox vaccine in June–July 2022 as told in their own words. Methods 41 conversations were conducted with gay or bisexual men via phone or instant messaging between July 12th and July 15th, 2022. Participants were recruited from Instagram, the author’s personal social circle, or from friends of friends. Individuals were nearly all in their 20s and 30s, and nearly all came from urban areas, including New York City, Los Angeles, San Francisco, Chicago, Boston, Austin, Houston, Seattle, Minneapolis and Atlanta. Results At time of interview, 12 of 41 (29%) respondents had been able to access a first dose of the mpox vaccine. Those able to get vaccinated attributed their success to luck or word of mouth, having free time to wait in lines, and getting vaccinated in Canada. Of the 29 respondents not yet vaccinated, 28 (97%) said they had been trying without success. Twelve of these respondents were then asked about their overall feeling towards the situation; the most common response was “frustrated” (4 respondents), followed by “afraid”, “annoyed as fuck”, “awful”, “hilarious”, “hopeless”, “messy”, “panicked”, and “pathetic” (1 respondent each). The most common hurdles experienced included a lack of appointments, restrictive eligibility criteria, clinics running out of doses or closing early without advance warning, websites crashing, and no information available from public health authorities. Conclusion The early mpox rollout in the United States was slow and beset with widespread logistical failures, leaving the MSM community frustrated and anxious. Future public health vaccination campaigns should emphasize the rapid acquisition and distribution of vaccines, as well as improved communication from health authorities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".