Cargando…
Impact of weather on COVID-19 transmission in south Asian countries: An application of the ARIMAX model
We aimed to examine the impact of weather on COVID-19 confirmed cases in South Asian countries, namely, Afghanistan, Bangladesh, India, Pakistan, and Sri Lanka. Data on daily confirmed cases, together with weather parameters, were collected from the first day of COVID confirmed cases in each country...
Autores principales: | Hossain, Md. Sabbir, Ahmed, Sulaiman, Uddin, Md. Jamal |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605795/ https://www.ncbi.nlm.nih.gov/pubmed/33162141 http://dx.doi.org/10.1016/j.scitotenv.2020.143315 |
Ejemplares similares
-
Imported cases and minimum temperature drive dengue transmission in Guangzhou, China: evidence from ARIMAX model
por: Jing, Q. L., et al.
Publicado: (2018) -
Modeling Seasonal Influenza Transmission and Its Association with Climate Factors in Thailand Using Time-Series and ARIMAX Analyses
por: Chadsuthi, Sudarat, et al.
Publicado: (2015) -
Examining the disparities of anti-malarial drug consumption among children under the age of five: a study of 5 malaria-endemic countries
por: Hossain, Md Sabbir, et al.
Publicado: (2023) -
Frequent outbreaks of dengue fever in South Asian countries—A correspondence analyzing causative factors and ways to avert
por: Urmi, Taslima Jamal, et al.
Publicado: (2023) -
VAR, ARIMAX and ARIMA models for nowcasting unemployment rate in Ghana using Google trends
por: Adu, Williams Kwasi, et al.
Publicado: (2023)