Cargando…
Short-term forecasting of daily infections, fatalities and recoveries about COVID-19 in Algeria using statistical models
BACKGROUND: A viral disease due to a virus called SARS-Cov-2 spreads globally with a total of 34,627,141 infected people and 1,029,815 deaths. Algeria is an African country where 51,690, 1,741 and 36,282 are currently reported as infected, dead and recovered. A multivariate time series model has bee...
Autores principales: | Khan, Firdos, Lounis, Mohamed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374423/ https://www.ncbi.nlm.nih.gov/pubmed/34426791 http://dx.doi.org/10.1186/s43088-021-00136-5 |
Ejemplares similares
-
Forecasting daily new infections, deaths and recovery cases due to COVID-19 in Pakistan by using Bayesian Dynamic Linear Models
por: Khan, Firdos, et al.
Publicado: (2021) -
COVID-19: Why Algeria’s Case Fatality Rate Seems to be Among the Highest in the World?
por: Lounis, Mohamed
Publicado: (2021) -
Demographic and epidemiological characteristics of scorpion envenomation and daily forecasting of scorpion sting counts in Touggourt, Algeria
por: Boubekeur, Kaouthar, et al.
Publicado: (2020) -
On the accuracy of short-term COVID-19 fatality forecasts
por: Antulov-Fantulin, Nino, et al.
Publicado: (2022) -
Short-Term Statistical Forecasts of COVID-19 Infections in India
Publicado: (2020)