386 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 demonstrates that operative hysteroscopy is an effective, minimally invasive first-line treatment for endometrial polyps that achieves high lesion removal rates without significantly increasing patient pain compared to diagnostic hysteroscopy.
This case study demonstrates that a 2025 cross-border vaccine deployment strategy through Chad successfully restored immunization services in conflict-affected Darfur, increasing DPT1 coverage from 22.6% to 83.2% and delivering nearly 20 million doses to mitigate disease outbreaks despite the disruption of national supply routes.
This population linkage study in Wales reveals that while children with congenital anomalies generally achieve lower academic results, their attainment is most severely compromised by the cumulative effects of poverty and long-term conditions like epilepsy, with special education needs provision partially mitigating but not fully overcoming these disadvantages.
This study protocol outlines a longitudinal observational research project in Slovenia designed to examine the bidirectional relationship between frailty and both risk and protective mental health factors among adults aged 50 and older over a two-year period to inform healthy ageing strategies.
This study demonstrates that a one-year interruption of vector control activities on Bioko Island caused a rapid resurgence in malaria transmission and burden in 2024, but the subsequent rapid reimplementation of indoor residual spraying successfully contained and reversed this trend, highlighting the critical importance of sustained control efforts.
This study demonstrates that incorporating just three discharge characteristics into risk prediction models significantly improves the accuracy of six-month post-discharge mortality predictions for under-five children with suspected sepsis in Ugandan hospitals compared to models relying solely on admission data.
A UK cohort study found that while smoking and dual use of smoking and vaping during pregnancy are significantly associated with lower birthweights and longer hospital stays, vaping alone showed no such adverse neonatal outcomes, highlighting the critical importance of quitting smoking completely without reverting to it if a pregnant woman chooses to vape.
This qualitative study identifies specific usability barriers and "pain points" faced by people with disabilities when seeking COVID-19 health information online, highlighting challenges related to distracting layouts, physical fatigue, and low trust in AI-generated content, while recommending that future digital health design incorporate direct user feedback from this community.
This mixed-methods study of Michigan gun buybacks reveals that many individuals acquire unwanted firearms through non-purchase transfers like inheritance, leading them to seek safe, non-punitive disposal options driven by concerns over misuse, theft, and the desire for emotional relief.
This study demonstrates that integrating machine learning-based variable selection, particularly using Random Forest, significantly improves the accuracy of Heat Vulnerability Index assessments in Chicago by identifying key determinants like poverty, lack of air conditioning, and elderly population proportion, outperforming conventional unsupervised PCA methods in predicting heat-related excess mortality.