Mathematical forecasts are hypotheses: considering uncertainty in publishing COVID-19 pandemic data
The current period is, at the same time, highly uncertainty and intensive in data production. In the analysis of scenarios produced by the COVID-19 pandemic, we make forecast based on mathematical models where exact assumptions are never true. This leads to a reconsideration of the usual form of dat...
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| Format: | Article |
| Language: | Spanish |
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Universidad Carlos III de Madrid
2020-07-01
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| Series: | Revista Española de Comunicación en Salud |
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| Online Access: | https://e-revistas.uc3m.es/index.php/RECS/article/view/5476 |