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.

A fascination with violence < Yale School of Medicine

Women and Natural Resources United Nations Development Programme

RECOVER explores Long COVID - University of Mississippi Medical Center

Digital Preservation Decision Tree Model to Establish Whether a Digital Resource Should be Preserved

No Visible Bruises: What We Don't Know About Domestic Violence Can Kill Us: Snyder, Rachel Louise: 9781635570977: Books

The NCSBN 2023 Environmental Scan: Nursing at a Crossroads—An

The Shadow Pandemic: Violence against women during COVID-19

Violence against children and women

COVID-19 Disorder Tracker - ACLED

Frontiers Depression, COVID-19 Anxiety, Subjective Well-being, and Academic Performance in University Students With COVID-19-Infected Relatives: A Network Analysis

Frontiers Lifetime Prevalence of Victimization and Perpetration

Prediction of COVID-19 diagnosis based on openEHR artefacts

External validation demonstrates limited clinical utility of the

Examining the use of decision trees in population health surveillance research: an application to youth mental health survey data in the COMPASS study, HPCDP: Vol 43(2), February 2023

Sensors, Free Full-Text