Zoonotic diseases and public health

Climate change threatens mammal and bird distributions in the Altai Mountains. MaxEnt modeling reveals habitat loss and range shifts toward higher elevations, with human activities and snow cover.

Review synthesizes big data and machine learning integration in U.S. infectious disease surveillance, examining data sources and computational methods for detection, forecasting, and control.

Mathematical modeling frameworks for infectious disease dynamics integrate computational methods, network analysis, and machine learning to forecast epidemics and optimize public health interventions.

Historical analysis of institutional responses to epidemics from the Black Death to COVID-19, examining coordination mechanisms and organizational learning across seven centuries.

Forum-derived research agenda for transforming global biodiversity monitoring infrastructure through standardized metrics and cross-institutional data integration

Machine learning analysis of one million canine electronic health records identifies disease phenotypes, breed predispositions, and emerging health patterns using unsupervised topic modeling.

Critical analysis of the Living Planet Index and planetary boundary frameworks, arguing these metrics are methodologically inappropriate and misleading for guiding conservation practice and policy.

Commentary argues citizen science must become integral to official statistics systems as traditional surveys face funding cuts and institutional discontinuation.