Addressing Climate Change Impacts on Vector-Borne Infectious Diseases: Can Artificial Intelligence Help?
Year: 2026
Type: article
Abstract: Human-induced climate change caused by fossil fuel-derived greenhouse gas emissions has disrupted global ecosystems, shifted disease-vector populations, and expanded vector-borne diseases into previously unaffected areas. As these changes occur, traditional epidemiological surveillance and control mechanisms face major challenges. Artificial intelligence (AI) is an emerging technology in epidemiology and public health that offers the promise of analyzing and interpreting vast datasets far more comprehensively than traditional methods. In this manuscript, we examine how artificial intelligence can enhance vector-borne disease prediction and surveillance, strengthen vector control and public health response, and support clinical and laboratory diagnostic capabilities in the context of a changing climate. Despite its environmental trade-offs, AI offers transformative potential to help humanity adapt to the coming climate impacts on infectious diseases.
Authors: Richard L. Oehler, Lauren Rybolt
Institution: University of South Florida
Language: English
Subfield: Health, Toxicology and Mutagenesis
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7128495176
FWCI:
Cites:
Cited by:
Related to: