Lancet
Flor, L. S., Friedman, J., Spencer, C. N., Cagney, J., Arrieta, A., Herbert, M. E., Stein, C., Mullany, E. C., Hon, J., Patwardhan, V., Barber, R. M., Collins, J. K., Hay, S. I., Lim, S. S., Lozano, R., Mokdad, A. H., Murray, C. J., Reiner, R. C., Sorensen, R. J., Pigott, D. M., Haakenstad, A., Gakidou, E.
2022-03-02
Article on the indirect effects of the COVID-19 pandemic on worldwide gender disparities. Both major health- and non-health-related indicators at the regional and global level were explored. A review was done of publicly available datasets with information on indicators related to vaccine hesitancy and uptake, health care services, economic and work-related concerns, education, and safety at home and in the community. Effects regression, Gaussian process regression, and bootstrapping were used to synthesise all data sources. There was accounted for uncertainty in the underlying data and modeling process. Mixed effects logistic regression was then used to explore gender gaps globally and by region.
- COVID-19 Pandemic
- Economic
- Education
- Gender and/or Agency
- Health
- Nutrition
- Other Crises
- Social Support and Protection
- Women and/or Girls
- Africa
- Asia
- Caribbean
- Central Asia
- East Asia
- Europe
- Global
- Latin America
- Middle East
- North Africa
- Oceania
- South Asia
- Southeast Asia
- Sub-Saharan Africa
- Adult men
- Adult women
- Adults (men and/or women 19+ years old)
- Children (boys and/or girls 1-10 years old)
- Girls (adolescents and/or children)
- Women (adults and/or adolescents)
- Policy
- Research
- Article
- Journal article