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Using a Bayesian spatiotemporal model to identify the influencing factors and high-risk areas of hand, foot and mouth disease (HFMD) in Shenzhen
BACKGROUND: The epidemic of hand, foot, and mouth disease (HFMD) has become a severe public health problem in the world and has also brought a high economic and health burden. Furthermore, the prevalence of HFMD varies significantly among different locations. However, there have been few investigati...
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| 出版年: | PLoS Negl Trop Dis |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7112242/ https://ncbi.nlm.nih.gov/pubmed/32196496 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pntd.0008085 |
| タグ: |
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