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A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data
BACKGROUND: Dengue is the most common arboviral disease of humans, with more than one third of the world’s population at risk. Accurate prediction of dengue outbreaks may lead to public health interventions that mitigate the effect of the disease. Predicting infectious disease outbreaks is a challen...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3534444/ https://ncbi.nlm.nih.gov/pubmed/23126401 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-12-124 |
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