Decision tree: Data collection on violence against women and COVID-19, Digital library: Publications

This decision tree guides data collectors through the various considerations, viable options, and alternative data sources for obtaining information without jeopardizing participants’ safety or the data’s integrity. In doing so, it aims to identify data sources and methodologies that are useful for strengthening services and referral pathways for women experiencing violence during COVID-19.

The Fight Continues Internet Archive Blogs

COVID-19 information and resources

Machine Learning Applied to Gender Violence: A Systematic Mapping Study

DATA in the time of COVID-19 – Open Data Watch

An Open Prison without End”: Myanmar's Mass Detention of Rohingya

Frontiers Multi-omics and machine learning for the prevention and management of female reproductive health

Hybrid education, learning, and assessment: a reader; an overview of frameworks, issues and developments in light of COVID-19 and the way forward

COVID's Uneven Toll Captured in Data

UNFPA Asiapacific Decision tree: Data Collection on Violence against Women and COVID-19