Modelling COVID-19 incidence in the African sub-region using smooth transition autoregressive model-Reference-Cited by-同舟云学术

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Modelling COVID-19 incidence in the African sub-region using smooth transition autoregressive model

Published:2021-02-26 Issue: Volume: Page:
ISSN:2363-6203
Container-title:Modeling Earth Systems and Environment
language:en
Short-container-title:Model. Earth Syst. Environ.

Author:

Aidoo Eric N.,Ampofo Richard T.,Awashie Gaston E.,Appiah Simon K.,Adebanji Atinuke O.

Publisher

Springer Science and Business Media LLC

Subject

Computers in Earth Sciences,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,General Environmental Science

Link

http://link.springer.com/content/pdf/10.1007/s40808-021-01136-1.pdf

Reference22 articles.

1. Al-Raeei M (2021) Numerical simulation of the force of infection and the typical times of SARS-CoV-2 disease for different location countries. Model Earth Syst Environ. https://doi.org/10.1007/s40808-020-01075-3

2. Alimi M, Rhif A, Rebai A (2017) Nonlinear dynamic of the renewable energy cycle transition in Tunisia: evidence from smooth transition autoregressive models. Int J Hydrog Energy 42:8670–8679. https://doi.org/10.1016/j.ijhydene.2016.07.131

3. Bhadra A, Mukherjee A, Sarkar K (2020) Impact of population density on Covid-19 infected and mortality rate in India. Model Earth Syst Environ. https://doi.org/10.1007/s40808-020-00984-7

4. Ceylan Z (2020) Estimation of COVID-19 prevalence in Italy, Spain, and France. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2020.138817

5. Cortes F et al (2018) Time series analysis of dengue surveillance data in two Brazilian cities. Acta Trop 182:190–197. https://doi.org/10.1016/j.actatropica.2018.03.006

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