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How gender and sex-disaggregated data are critical for COVID-19 response

To understand the impacts of COVID-19 in health care systems around the world, gender analysis intersected with social and demographic factors is crucial. This includes reporting diagnostic testing, confirmed cases, hospitalizations, ICU admissions, deaths, and data on frontline health workers by sex. Having sex-disaggregated data on these indicators can help identify interventions to improve health care.