434 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 study of over 130,000 newborns in Kenya reveals that referred infants face nearly three times higher mortality odds than inborn infants, a disparity driven by greater clinical vulnerability and systemic challenges in the referral process that underscores the urgent need for strengthened pre-referral stabilization and transport systems.
This study leverages an expanded All of Us Research Program dataset and machine learning to confirm that annual income, family history, and various lifestyle factors are robust, multi-level determinants of Alcohol Use Disorder, with Random Forest models achieving 81% accuracy in predicting AUD status.
This study reveals that Nigerian media coverage of the 2024 cholera outbreak was predominantly reactive and crisis-driven, disproportionately focusing on mortality reports while neglecting preventive WASH solutions, thereby highlighting the urgent need for a strategic shift toward sustained, solution-oriented risk communication.
This study reveals that while Large Language Models produce homogeneous readability at baseline, their output complexity becomes significantly variable when grounded in external sources like Wikipedia, and that readability metrics are not interchangeable, necessitating transparent, metric-specific, and language-aware evaluation protocols for accessible health communication.
This study demonstrates that the monovalent rotavirus vaccine (Rotarix) in Malawi provided moderate, age-dependent protection against hospitalisation for diarrhoea over seven years, with significant impact limited to infants and no measurable influence from the concurrent switch from trivalent to bivalent oral poliovirus vaccine.
This longitudinal study of 47,046 children in England reveals that achieving a Good Level of Development on the Ages and Stages Questionnaire-3 at age two is a strong predictor of similar success on the Early Years Foundation Stage Profile at age five, highlighting the critical need for early intervention to address developmental inequities among boys, children in deprived areas, and specific ethnic groups.
Based on Swiss data from 2016 to 2024, this study finds that individuals with a migration background report less racial discrimination in healthcare than the majority population, suggesting that such reports may sometimes reflect unmet general healthcare expectations rather than actual discrimination.
This systematic review and meta-analysis reveals that while antimicrobial resistance in ESKAPE pathogens is significantly more prevalent in clinical isolates than in aquatic environments, wastewater and effluent-impacted waters serve as critical reservoirs of resistance, highlighting the need for standardized methodologies within a One Health framework.
This study employs a two-stage Bayesian small area estimation framework that integrates routine commodity data, census figures, and national survey benchmarks to generate high-resolution, statistically robust district-level estimates of contraceptive prevalence in Pakistan, thereby addressing data gaps and enabling more targeted family planning interventions.
This qualitative study of 13 clinicians in Karachi, Pakistan, reveals that while AI in radiology is viewed as a promising assistant for specific tasks like screening and workload reduction, its successful adoption in this low-resource setting depends on addressing infrastructure gaps, ensuring data privacy, providing targeted training, and maintaining human oversight through strategic, staged implementation.