Epidemiological versus meteorological forecasts : best practice for linking models to policymaking
Erin Coughlan de Perez, Elisabeth Stephens, Maarten van Aalst, Juan Bazo, Eleonore Fournier-Tombs, Sebastian Funk, Jeremy J. Hess, Nicola Ranger, Rachel Lowe
| Year of publication: |
2022
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|---|---|
| Authors: | Coughlan Perez, Erin de ; Stephens, Elisabeth ; Van Aalst, Maarten ; Bazo, Juan ; Fournier-Tombs, Eleonore ; Funk, Sebastian ; Hess, Jeremy J. ; Ranger, Nicola ; Lowe, Rachel |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 38.2022, 2, p. 521-526
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| Subject: | Climate | Communication | COVID-19 | Disasters | Forecasting | Risk | Uncertainty | Vulnerability | Weather | Coronavirus | Katastrophe | Disaster | Prognoseverfahren | Forecasting model | Wetter | Risiko | Klimawandel | Climate change | Epidemie | Epidemic | Prognose | Forecast | Welt | World | Wirkungsanalyse | Impact assessment |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2021.08.003 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013348615