By Jenny Larsen, United Nations Industrial Development Organisation
Since COVID-19 emerged in late 2019, scientists have been poring over the data to understand better how the virus behaves and how to fight it. But studies show that many trials fail to take the sex of participants into account – meaning eagerly awaited vaccines or treatments could be less effective in the female population. Data from Global Health 50/50 show that as of December 2020 only 58 percent of COVID-19 cases reported by 186 countries had been disaggregated by sex, making it much harder to assess the impact of the virus across populations.
From domestic violence to unpaid care work, these omissions reflect a much wider, longstanding data bias that underreports or even misreports the life experiences of women and girls, in an era when our lives are increasingly dominated by an ocean of data. In her recent book, Invisible Women, Caroline Criado Perez writes that we have unconsciously created the world as male: “Women are being left out of numbers, data, the way in which we allocate our resources, the way in which we design safety for cars, the way in which we design medicine.”
The consequences are far-reaching: without reliable sex and gender-disaggregated data and gender statistics, decisions taken by policymakers, scientists or researchers, be it about health, the economy or elsewhere, risk leaving women behind and widening inequalities.Continue reading