ReviewBMJ global health2023
A shared agenda for gender and COVID-19 research: priorities based on broadening engagement in science.
Review in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Imbalances in authorship, geographic and institutional contexts, and funding sources in research on gender approaches to sexual and reproductive health in Africa: a scoping review.Sexual and reproductive health matters · 2025Article
- Migration and Women's Health Research (2000-2023): A bibliometric analysis of trends and gaps.Dialogues in health · 2025Review
- Unfair knowledge practices in global health: a realist synthesis.Health policy and planning · 2024Article
- Invest in youth led efforts for gender equality and pandemic preparedness.BMJ (Clinical research ed.) · 2023Article
- No pandemic preparedness and research without gender equality.BMJ (Clinical research ed.) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 6 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While the acute and collective crisis from the pandemic is over, an estimated 2.5 million people died from COVID-19 in 2022, tens of millions suffer from long COVID and national economies still reel from multiple deprivations exacerbated by the pandemic. Sex and gender biases deeply mark these evolving experiences of COVID-19, impacting the quality of science and effectiveness of the responses deployed. To galvanise change by strengthening evidence-informed inclusion of sex and gender in COVID-19 practice, we led a virtual collaboration to articulate and prioritise gender and COVID-19 research needs. In addition to standard prioritisation surveys, feminist principles mindful of intersectional power dynamics underpinned how we reviewed research gaps, framed research questions and discussed emergent findings. The collaborative research agenda-setting exercise engaged over 900 participants primarily from low/middle-income countries in varied activities. The top 21 research questions included the importance of the needs of pregnant and lactating women and information systems that enable sex-disaggregated analysis. Gender and intersectional aspects to improving vaccine uptake, access to health services, measures against gender-based violence and integrating gender in health systems were also prioritised. These priorities are shaped by more inclusive ways of working, which are critical for global health as it faces further uncertainties in the aftermath of COVID-19. It remains imperative to address the basics in gender and health (sex-disaggregated data and sex-specific needs) and also advance transformational goals to advance gender justice across health and social policies, including those related to global research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.