Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Estimating the Parameters of Covid-19 Cases in South Africa

Domaine:

healthcare
Créateur:
SurPooRitDhi
Éditeur:
Ori
Hôte:
In this paper we employ SIR model to study the Covid-19 data of South Africa for a chosen period. This model is solved using three numerical methods, namely, Differential Transform Method (DTM), Multistage Differential Transform Method (MsDTM), Repeated Multistage Differential Transform Method (RMsDTM) to obtain approximations of the number of susceptible, active infected and recovered in South Africa for 60 days starting from June 1, 2021. The proximity of the solution of the RMsDTM to the actual data in comparison to solutions using the other two methods was observed. MsDTM is an improvement over DTM as it uses updated values of the variables as new initial conditions at each iteration of the method. RMsDTM, in which the values of parameters are also changed at suitable intervals of time, besides using updated values of variables is a further improvement over both these methods.

Visit

doi.org

Licenses

http://creativecommons.org/licenses/by/4.0/

Similaires

COVID-19 PREDICTION IN SOUTH AFRICA: ESTIMATING THE UNASCERTAINED CASES- THE HIDDEN PART OF THE EPIDEMIOLOGICAL ICEBERGThe National COVID-19 Epi Model (NCEM): Estimating cases, admissions and deaths in South AfricaThe National COVID-19 Epi Model (NCEM): Estimating cases, admissions and deaths for the first wave of COVID-19 in South AfricaEstimating the Basic Reproductive Number of COVID-19 Cases in GhanaEstimating internationally imported cases during the early COVID-19 pandemicAfrica CoronaVirus (Covid-19) cases dataset

COVID-19 PREDICTION IN SOUTH AFRICA: ESTIMATING THE UNASCERTAINED CASES- THE HIDDEN PART OF THE EPIDEMIOLOGICAL ICEBERG

SUMMARY Understanding the impact of non-pharmaceutical interven

The National COVID-19 Epi Model (NCEM): Estimating cases, admissions and deaths in South Africa

Abstract Background In March 2020 the Sout

The National COVID-19 Epi Model (NCEM): Estimating cases, admissions and deaths for the first wave of COVID-19 in South Africa

In March 2020 the South African COVID-19 Modelling Consortium was formed to support government plann

Estimating the Basic Reproductive Number of COVID-19 Cases in Ghana

A disease can be defined as an adverse change from a normally functional state of the living body us

Estimating internationally imported cases during the early COVID-19 pandemic

Abstract Early in the COVID-19 pandemic, when cases were predominantly reported in

Africa CoronaVirus (Covid-19) cases dataset

Dataset scraped and updated from Worldometer and Johns Hopkins University.