Inter-American Institute for Global Change Research, Wellcome Trust, 2022
This list includes software tools for climate-sensitive infectious disease modelling that incorporate both climate inputs and epidemiological information, produce an output as a prediction or indicator of disease risk in one package, are transparently described and validated, are named for future searching and versioning, and are accessible (code is published, or available on a code repository, a web platform, or other.)
Includes tools for mosquito and Aedes-borne diseases, campylobacteriosis, dengue, influenza, malaria, Rift Valley fever, West Nile virus, and more.