ABSTRACT
A growing body of work clearly documents the gendered inequalities in health. The COVID-19 pandemic further exposed these deep inequities: men appear to be more vulnerable to poorer outcomes, but most of the global health workforce is female who are at increased risk of exposure to hospital infection. However, researchers often fail to adequately embed gender as part of the public health research. This paper reports findings from a synthesis exercise that identified some of the challenges of integrating gender in the design and processes of research studies in four projects conducted in six low- and middle-income countries. Through a collective retrospective meta-synthesis process with researchers from each project, we identified two main themes; (i) we deep dive on two of the structural pillars of conducting public health research (design and process) and (ii) we describe some of the underlying opportunities and resistances to the integration of a gender perspective in these research projects. In conclusion, we suggest that public health funding bodies require researchers to integrate gender in public health research from early on as part of the design and to conduct gendered analysis, as part of the overall drive towards more equitable health systems delivery.
ABSTRACT
INTRODUCTION: Since sex-based biological and gender factors influence COVID-19 mortality, we wanted to investigate the difference in mortality rates between women and men in sub-Saharan Africa (SSA). METHOD: We included 69 580 cases of COVID-19, stratified by sex (men: n=43 071; women: n=26 509) and age (0-39 years: n=41 682; 40-59 years: n=20 757; 60+ years: n=7141), from 20 member nations of the WHO African region until 1 September 2020. We computed the SSA-specific and country-specific case fatality rates (CFRs) and sex-specific CFR differences across various age groups, using a Bayesian approach. RESULTS: A total of 1656 deaths (2.4% of total cases reported) were reported, with men accounting for 70.5% of total deaths. In SSA, women had a lower CFR than men (mean [Formula: see text] = -0.9%; 95% credible intervals (CIs) -1.1% to -0.6%). The mean CFR estimates increased with age, with the sex-specific CFR differences being significant among those aged 40 years or more (40-59 age group: mean [Formula: see text] = -0.7%; 95% CI -1.1% to -0.2%; 60+ years age group: mean [Formula: see text] = -3.9%; 95% CI -5.3% to -2.4%). At the country level, 7 of the 20 SSA countries reported significantly lower CFRs among women than men overall. Moreover, corresponding to the age-specific datasets, significantly lower CFRs in women than men were observed in the 60+ years age group in seven countries and 40-59 years age group in one country. CONCLUSIONS: Sex and age are important predictors of COVID-19 mortality globally. Countries should prioritise the collection and use of sex-disaggregated data so as to design public health interventions and ensure that policies promote a gender-sensitive public health response.