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Exploring the influence of COVID-19 on the spread of hand, foot, and mouth disease with an automatic machine learning prediction model
Hand, foot, and mouth disease (HFMD) is an important public health problem and has received concern worldwide. Moreover, the coronavirus disease 2019 (COVID-19) epidemic also increases the difficulty of understanding and predicting the prevalence of HFMD. The purpose is to prove the usability and ap...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579594/ https://www.ncbi.nlm.nih.gov/pubmed/36255582 http://dx.doi.org/10.1007/s11356-022-23643-z |