Announcements

  • Read the Nature Health aims and scope to see if your research is suitable for submission

  • Nature Health presents a collection on the role of large language models (LLMs) as tools to increase accessibility to healthcare and to reduce inequalities in global health. The series will also focus on the challenges related to use of consumer-facing LLMs and how to develop tools that are safe and can be useful in assisting users in health-related queries.

  • Nature Health and Nature Medicine present a collection on global physical activity for health, bringing together research focusing on global patterns of physical activity and addressing disparities across income and geography. The series will highlight gaps in policy implementation, the health impacts of unequal access, and the benefits of physical activity beyond health.

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  • Using an integrative spatial Bayesian framework that merges high-resolution environmental pesticide risk modelling with comprehensive cancer registry data, this analysis reveals spatial patterns of pesticide exposure and liver tissue-derived molecular signatures across Peru, establishing links between pesticide usage and cancer insurgence at the national scale.

    • Jorge Honles
    • Juan Pablo Cerapio
    • Stéphane Bertani
    ArticleOpen Access
  • Nationwide analysis of 30,086 confirmed Oropouche virus cases in Brazil between 2014 and 2025 shows that rural municipalities had over 11-fold-higher incidence than urban areas and identifies demographic, ecological and climatic factors influencing transmission, offering insights for targeted surveillance and control.

    • Xinyi Hua
    • Laura W. Alexander
    • William M. de Souza
    Article
  • Using efficacy estimates from a previous cluster randomized trial in Senegal and accounting for differences in weather, vegetation and population density between trial and non-trial areas, a machine learning-enabled method estimates intervention efficacy for mass drug administration against malaria at a granular scale and beyond the trial period.

    • Michelle E. Roh
    • Yanwei Tong
    • Jade Benjamin-Chung
    ArticleOpen Access
  • In a quasi-experimental study, referral to community-based, non-medical resources, commonly known as ‘social prescribing’, improved scores related to life satisfaction and decreased symptoms of anxiety in a nationally comprehensive sample of 19,627 patients from the UK.

    • Feifei Bu
    • Daniel Hayes
    • Daisy Fancourt
    ArticleOpen Access