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COVID-19 has disproportionately placed women in academic science on the frontlines of domestic and clinical care compared to men. As a result, women in science are publishing less and potentially acquiring less funding during COVID-19 than compared to before. This widens the pre-existing gap between men and women in prevailing, publication-based measures of productivity used to determine academic career progression. Early career women and those with intersectional identities associated with greater inequities, are facing unique challenges during this time. We argue that women will fall further behind unless academic reward systems adjust how and what they evaluate. We propose several strategies that academic institutions, funders, journals, and men in academic science can take.

A long-held assumption has been that nearly all malaria deaths in high-transmission areas are of children younger than 5 years and pregnant women. Most global malaria mortality estimates incorporate this assumption in their calculations. In 2010, the Indian Million Death Study, which assigns cause of death by verbal autopsy (VA), challenged the reigning perception, producing a U-shaped mortality age curve, with rates rising after age 45 years in areas of India with substantial malaria transmission. Similar patterns are seen in Africa in the International Network for the Demographic Evaluation of Populations and Their Health (INDEPTH) network, also relying on VA. Whether these results are accurate or are misidentified deaths can be resolved by improving the evidence for assigning causes for adult acute infectious deaths in high malaria transmission areas. The options for doing so include improving the accuracy of VA and adding postmortem biological evidence, steps we believe should be initiated without delay.

Background: In South Africa (SA), despite adoption of international strategies and approaches, maternal, neonatal and child (MNC) morbidity and mortality rates have not sufficiently declined. Objectives: To conduct an umbrella review (UR) that identifies interventions in low- and middle-income countries, with a high-quality evidence base, that improve MNC morbidity and mortality outcomes within the first 1000 days of life; and to assess the incorporation of the evidence into local strategies, guidelines and documents. Methods: We included publications about women and children in the first 1000 days of life; healthcare professionals and community members. Comparators were those who did not receive the intervention. Interventions were pharmacological and non-pharmacological. Outcomes were MNC morbidity and mortality. Authors conducted English language electronic and manual searches (2000–2013). The quality of systematic reviews and meta-analyses (SRs/MAs) were reviewed. Interventions were ranked according to level of evidence; and then aligned with SA strategies, policies and guidelines. A tool to extract data was developed and used by two authors who independently extracted data. Summary measures from MAs or summaries of SRs were reviewed and the specificities of the various interventions listed. A search of all local high-level documents was done and these were assessed to determine the specificities of the recommendations and their alignment to the evidence. Results: In total, 19 interventions presented in 32 SRs were identified. Overall, SA’s policymakers have sufficiently included high-quality evidence-based interventions into local policies. However, optimal period of birth spacing (two to five years) is not explicitly promoted nor was ante- and postnatal depression adequately incorporated. Antenatal care visits should be increased from four to about eight according to the evidence. Conclusion: Incorporation of existing evidence into policies can be strengthened in SA. The UR methods are useful to inform policymaking and identify research gaps. RESPONSIBLE EDITOR Nawi Ng, Umeå University, Sweden