316 papers
Public and global health examines how we protect communities from disease, manage outbreaks, and improve well-being across the world. This vital field connects diverse research on everything from infectious disease control and vaccination strategies to the social factors that shape our collective health. Because these studies often impact policy and daily life, understanding them quickly is more important than ever.
At Gist.Science, we track every new preprint published in this category on medRxiv to ensure you never miss a breakthrough. We process each submission to provide both plain-language explanations for general readers and detailed technical summaries for experts, making complex findings accessible to everyone.
Below are the latest papers in public and global health, freshly summarized from the most recent medRxiv releases.
This cross-sectional study in China found that post-lockdown antenatal depression is prevalent and strongly associated with sleep disorders, family support, and COVID-19 symptom severity, with a Random Forest machine learning model demonstrating superior predictive performance compared to other algorithms.
This facility-based observational study at Kenyatta National Hospital in Kenya identifies patient-related barriers (such as low awareness, financial constraints, and stigma) and health system inefficiencies as key determinants of delays in tuberculosis diagnosis and treatment, which consequently lead to increased disease severity and continued transmission.
Using Gallup World Poll data from 2014 to 2019, this multilevel analysis reveals that food insecurity is a significant, dose-dependent determinant of poor mental health among adolescents in both Francophone and Anglophone sub-Saharan Africa, with severity of insecurity directly correlating to increased odds of negative mental health experiences.
This study demonstrates that a transparent, spreadsheet-implementable statistical method using cumulative historical weighting performs comparably to a large language model in identifying the geographic origins of Japan's COVID-19 waves, revealing that the performance gain stems from the accumulation of historical data rather than the AI's reasoning capabilities, though the model still exhibits significant intrinsic geographic reasoning without such context.
This cross-sectional study of India's National Family Health Survey-5 data reveals that children who recently migrated are significantly less likely to be fully immunized compared to non-migrant children, regardless of household wealth or social group, highlighting recent migration as a critical barrier to vaccination coverage.
A cross-sectional analysis of over 7,000 maternity appointments in South East London reveals that despite national guidelines recommending universal domestic violence and abuse (DVA) screening, enquiry rates were inconsistent and significantly influenced by demographic and socioeconomic factors, suggesting midwives selectively prioritize screening based on perceived risk rather than adhering to routine protocols for all patients.
This study analyzed 146,000 participants across 48 countries using Bayesian networks to reveal significant regional variations in cardiometabolic risk structures, demonstrating that public health strategies must be tailored to specific geographic contexts rather than relying on generalized models.
This paper outlines the protocol for a pilot cluster randomised controlled trial in Australian secondary schools designed to evaluate the feasibility and preliminary effectiveness of the Schools Education Program—a multi-component sexual violence prevention intervention—while integrating realist evaluation methods to understand the mechanisms and contexts driving its outcomes.
A mixed-methods evaluation in Rwanda demonstrates that integrated Early Childhood Development centres located in market and cross-border settings significantly improved child nutrition, developmental outcomes, and household income, despite a noted increase in reports of physical punishment.
This interdisciplinary implementation study demonstrates that the ECAIL childhood obesity prevention trial successfully maintained its reach and acceptability among socially disadvantaged families in France despite the disruptions of the COVID-19 pandemic and cost-of-living crisis, thanks to adaptive strategies like the rapid resumption of home-based visits and flexible implementation approaches.