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However, predictive intelligence models that identify environmental heuristics conducive to the growth of pathogenic strains, integrating microbiological, sociological, and weather data, can offer anticipatory decision-making capabilities, reducing infection risks. Here, the objective was to analyze data from studies since the 1960s to identify environmental determinants driving the occurrence and distribution of pathogenic\n                    <jats:italic toggle=\"yes\">Vibrio spp<\/jats:italic>\n                    ., enabling predictive modeling of the effects of climate change on cholera and noncholera vibriosis. The proliferation of\n                    <jats:italic toggle=\"yes\">Vibrio spp.<\/jats:italic>\n                    in aquatic ecosystems has been linked to climate change and, concomitantly, with increased environmental disease transmission, notably cholera in Southeast Asia and parts of Africa and noncholera vibriosis in Northern Europe and along the Eastern seaboard of North America. Global predictive risk models for\n                    <jats:italic toggle=\"yes\">Vibrio cholerae<\/jats:italic>\n                    have contributed to reduction in case fatality rates when coupled with individual and large-scale intervention early in outbreaks. These models, when appropriately modified, hold the potential to predict disease caused by all clinically relevant\n                    <jats:italic toggle=\"yes\">Vibrio spp<\/jats:italic>\n                    . and other waterborne pathogens.\n                  <\/jats:p>","DOI":"10.1073\/pnas.2420423122","type":"journal-article","created":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T19:07:02Z","timestamp":1754939222000},"update-policy":"https:\/\/doi.org\/10.1073\/pnas.cm10313","source":"Crossref","is-referenced-by-count":23,"title":["Climate change and\n                    <i>Vibrio<\/i>\n                    : Environmental determinants for predictive risk assessment"],"prefix":"10.1073","volume":"122","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3234-3337","authenticated-orcid":false,"given":"Kyle D.","family":"Brumfield","sequence":"first","affiliation":[{"name":"Department of Cellular Biology and Molecular Genetics, Maryland Pathogen Research Institute, University 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