Cargando…
Time series analysis of the COVID-19 pandemic in Australia using genetic programming
COVID-19 has emerged as a global pandemic over the past four months and has impacted more than 180 countries of the world. With a global increase rate of 3% to 5% daily cases, the virus seems to be a never ending process and WHO reports that the virus may stay here forever. So it becomes necessary t...
Autores principales: | Salgotra, Rohit, Gandomi, Amir H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137504/ http://dx.doi.org/10.1016/B978-0-12-824536-1.00036-8 |
Ejemplares similares
-
Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming
por: Salgotra, Rohit, et al.
Publicado: (2020) -
Evolutionary modelling of the COVID-19 pandemic in fifteen most affected countries
por: Salgotra, Rohit, et al.
Publicado: (2020) -
Partial derivative Nonlinear Global Pandemic Machine Learning prediction of COVID 19
por: Kavadi, Durga Prasad, et al.
Publicado: (2020) -
Publicly subsidised smoking cessation medicines in times of COVID‐19 in Australia: An interrupted time series analysis
por: Baliunas, Dolly, et al.
Publicado: (2022) -
Real-time suicide mortality data from police reports in Queensland, Australia, during the COVID-19 pandemic: an interrupted time-series analysis
por: Leske, Stuart, et al.
Publicado: (2021)