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A spatial hierarchical model for integrating and bias-correcting data from passive and active disease surveillance systems
Disease surveillance data are important for monitoring disease burden and occurrence, and for informing a wide range of efforts to improve population health. Surveillance for infectious diseases may be conducted passively, relying on reports from healthcare facilities, or actively, involving surveys...
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| Publicado no: | Spat Spatiotemporal Epidemiol |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7704115/ https://ncbi.nlm.nih.gov/pubmed/33138957 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.sste.2020.100341 |
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