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Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data
Dengue and influenza-like illness (ILI) are two of the leading causes of viral infection in the world and it is estimated that more than half the world’s population is at risk for developing these infections. It is therefore important to develop accurate methods for forecasting dengue and ILI incide...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6894887/ https://ncbi.nlm.nih.gov/pubmed/31751346 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007518 |
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