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• W3200394736 abstract "Weather forecasts, climate change projections, and epidemiological predictions all represent domains that are using forecast data to take early action for risk management. However, the methods and applications of the modeling efforts in each of these three fields have been developed and applied with little cross-fertilization. This perspective identifies best practices in each domain that can be adopted by the others, which can be used to inform each field separately as well as to facilitate a more effective combined use for the management of compound and evolving risks. In light of increased attention to predictive modeling during the COVID-19 pandemic, we identify three major areas that all three of these modeling fields should prioritize for future investment and improvement: (1) decision support, (2) conveying uncertainty, and (3) capturing vulnerability." @default.
• W3200394736 created "2021-09-27" @default.
• W3200394736 creator A5020097125 @default.
• W3200394736 date "2022-04-01" @default.
• W3200394736 modified "2023-09-26" @default.
• W3200394736 title "Epidemiological versus meteorological forecasts: Best practice for linking models to policymaking" @default.
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• W3200394736 doi "https://doi.org/10.1016/j.ijforecast.2021.08.003" @default.
• W3200394736 hasPublicationYear "2022" @default.
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