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Scenario-driven forecasting: modeling peaks and paths. Insights from the COVID-19 pandemic in Belgium
The recent ‘outburst’ of COVID-19 spurred efforts to model and forecast its diffusion patterns, either in terms of infections, people in need of medical assistance (ICU occupation) or casualties. Forecasting patterns and their implied end states remains cumbersome when few (stochastic) data points a...
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| Опубликовано в: : | Scientometrics |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer International Publishing
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7355133/ https://ncbi.nlm.nih.gov/pubmed/32836528 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11192-020-03591-6 |
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