Estimating the risk of SARS-CoV-2 deaths using a Markov switching-volatility model combined with heavy-tailed distributions for South Africa

Estimating the risk of SARS-CoV-2 deaths using a Markov switching-volatility model combined with heavy-tailed distributions for South Africa

Abstract Background SARS-CoV-2 (Covid-19 virus) infection exposed the unpreparedness of African countries to health-related issues, South Africa included. Africa recorded more than 211 853 deaths as a consequence of Covid-19. When rare and deadly diseases require urgent hospitalisation strikes, gove...

Full description

Bibliographic Details
Main Authors: Nobuhle Mthethwa, Retius Chifurira, Knowledge Chinhamu
Format: Article
Language:English
Published: BMC 2022-10-01
Series:BMC Public Health
Subjects:
SARS-CoV-2 (Covid-19) infection
Death
Volatility models
Value-at-risk
Heavy-tailed distributions
Structural breaks
Online Access:https://doi.org/10.1186/s12889-022-14249-8

Internet

https://doi.org/10.1186/s12889-022-14249-8

Similar Items