Epidemiological versus meteorological forecasts: Best practice for linking models to policymaking
Visualitza/Obre
10.1016/j.ijforecast.2021.08.003
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/354772
Tipus de documentArticle
Data publicació2021
EditorElsevier
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
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.
CitacióCoughlan de Perez, E. [et al.]. Epidemiological versus meteorological forecasts: Best practice for linking models to policymaking. "International Journal of Forecasting", 2021,
ISSN0169-2070
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