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An open challenge to advance probabilistic forecasting for dengue epidemics
A wide range of research has promised new tools for forecasting infectious disease dynamics, but little of that research is currently being applied in practice, because tools do not address key public health needs, do not produce probabilistic forecasts, have not been evaluated on external data, or...
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| Pubblicato in: | Proc Natl Acad Sci U S A |
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| Autori principali: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
National Academy of Sciences
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6883829/ https://ncbi.nlm.nih.gov/pubmed/31712420 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1909865116 |
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