Comparison of prediction accuracies between mathematical models to make projections of confirmed cases during the COVID-19 pandamic by country/region

BACKGROUND: The COVID-19 pandemic caused >0.228 billion infected cases as of September 18, 2021, implying an exponential growth for infection worldwide. Many mathematical models have been proposed to predict the future cumulative number of infected cases (CNICs). Nevertheless, none compared their...

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Detalles Bibliográficos
Autores principales: Tsai, Kang-Ting, Chien, Tsair-Wei, Lin, Ju-Kuo, Yeh, Yu-Tsen, Chou, Willy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
4400
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8677971/
https://www.ncbi.nlm.nih.gov/pubmed/34918666
http://dx.doi.org/10.1097/MD.0000000000028134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8677971/
https://www.ncbi.nlm.nih.gov/pubmed/34918666
http://dx.doi.org/10.1097/MD.0000000000028134

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