Cargando…
Uncertain growth model for the cumulative number of COVID-19 infections in China
As a type of coronavirus, COVID-19 has quickly spread around the majority of countries worldwide, and seriously threatens human health and security. This paper aims to depict cumulative numbers of COVID-19 infections in China using the growth model chosen by cross validation. The residual plot does...
Autor principal: | Liu, Zhe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501513/ http://dx.doi.org/10.1007/s10700-020-09340-x |
Ejemplares similares
-
Uncertain SEIAR model for COVID-19 cases in China
por: Jia, Lifen, et al.
Publicado: (2020) -
Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study
por: Gao, Yuanyuan, et al.
Publicado: (2020) -
Forecasting the daily and cumulative number of cases for the COVID-19 pandemic in India
por: Khajanchi, Subhas, et al.
Publicado: (2020) -
Fertility in China: An uncertain future
por: Basten, Stuart, et al.
Publicado: (2015) -
Robust Quantum Search with Uncertain Number of Target States
por: Zhu, Yuanye, et al.
Publicado: (2021)