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Integration of a Kalman filter in the geographically weighted regression for modeling the transmission of hand, foot and mouth disease
BACKGROUND: Hand, foot and mouth disease (HFMD) is a common infectious disease whose mechanism of transmission continues to remain a puzzle for researchers. The measurement and prediction of the HFMD incidence can be combined to improve the estimation accuracy, and provide a novel perspective to exp...
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| 出版年: | BMC Public Health |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7146977/ https://ncbi.nlm.nih.gov/pubmed/32276607 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12889-020-08607-7 |
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