Violence Against Adolescent Girls During the COVID-19 Pandemic: Quantitative Evidence From Rural and Urban Communities in Maharashtra, India.

PURPOSE: While the "shadow pandemic" of violence against women during the global health crisis caused by COVID-19 is well documented, little is known about its impact on adolescent girls. This study assesses the pandemic's effect on different forms of violence against girls in Maharashtra, India. METHODS: Adolescent girls from rural communities and urban slum pockets in Pune and Sangli, Maharashtra, were recruited between February and April 2022. Girls were eligible for participation if they were aged 13-18 years, irrespective of additional characteristics such as school attendance, caste or socioeconomic status. Quantitative data on health-related and socioeconomic impacts of the COVID-19 pandemic, family violence, and intimate partner violence (IPV; for married/partnered girls) were collected using audio- and computer-assisted self-interview techniques. We estimated a multivariable logistic regression model to assess the pandemic's impact on violence risk. RESULTS: Three thousand forty-nine adolescent girls were recruited into the study, 251 (8.2%) of whom had been married as children. Two thousand and three (65.7%) girls reported exposure to at least one form of family violence in the preceding year and 405 (71.7%) partnered girls reported incidents of IPV. Domestic violence risk increased significantly in households that suffered greater economic harm (odds ratio = 1.19, 95% confidence interval 1.13-1.26) and negative health consequences (odds ratio = 1.76, 95% confidence interval 1.54-2.02) from the pandemic. Similarly, greater detrimental health and economic impacts were associated with higher IPV risk. DISCUSSION: The COVID-19 pandemic has substantially increased girls' vulnerability to violence. Preventive measures and concerted, youth-focused policy efforts to extend support services to adolescent violence survivors are urgently needed.

COVID-19 vaccine hesitancy in eight European countries: Prevalence, determinants, and heterogeneity.

We examine heterogeneity in COVID-19 vaccine hesitancy across eight European countries. We reveal striking differences across countries, ranging from 6.4% of adults in Spain to 61.8% in Bulgaria reporting being hesitant. We experimentally assess the effectiveness of different messages designed to reduce COVID-19 vaccine hesitancy. Receiving messages emphasizing either the medical benefits or the hedonistic benefits of vaccination significantly increases COVID-19 vaccination willingness in Germany, whereas highlighting privileges contingent on holding a vaccination certificate increases vaccination willingness in both Germany and the United Kingdom. No message has significant positive effects in any other country. Machine learning-based heterogeneity analyses reveal that treatment effects are smaller or even negative in settings marked by high conspiracy beliefs and low health literacy. In contrast, trust in government increases treatment effects in some groups. The heterogeneity in vaccine hesitancy and responses to different messages suggests that health authorities should avoid one-size-fits-all vaccination campaigns.