Like any health issue, the impacts of Covid-19 are strongly gendered. Men are believed to be more susceptible to the virus, while women are more exposed in other ways: to an increased care burden, to heightened incidences of gender-based violence, to limited work opportunities, and to job losses. Understanding these gendered experiences and responding accordingly requires data that is disaggregated. It means going beyond the totals of people accessing facilities or losing their jobs, but disaggregating figures on the balance of men and women facing these challenges, including inequalities and discriminatory effects.
Read MoreJonathan Glennie discusses how local data can fill gaps, encourage context-specific policies, and inspire local activism.
Read MoreTom Moultrie reflects on a core guiding principle of the SDG framework–that “no one should be left behind”.
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