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.

Bayesian DN estimates of South African COVID-19 data.

Domaine:

healthcare

Type de record:

paper
Créateur:
JarMohAnd
Hôte:avatar

The Bayesian DN and corresponding BAGLASSO graphical models between the first two waves; the first wave and the following plateau and finally the difference between the first and second post wave plateaus. The p−values from the Box’s M-test for homogeneity of covariance matrices between the contributing precision matrices were all less than 0.001 [43].

Visit

figshare.com

Tags

Molecular BiologyBiotechnologyEvolutionary BiologyScience PolicyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedsynthetic experiments illustratesouth african covid+16

Licenses

CC BY 4.0

Similaires

Bayesian Inference of COVID-19 Spreading Rates in South Africa99-dn/Weather-Data-PipelineSouth African COVID-19 DiariesA data science analysis of the South African COVID-19 infodemic on TwitterSouth African COVID-19 Vulnerability MapValentineChisango/COVID-19-NICD-Data-South-Africa

Bayesian Inference of COVID-19 Spreading Rates in South Africa

Abstract The Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic

99-dn/Weather-Data-Pipeline

An n8n automation that fetches real-time Accra weather data, generates a friendly morning report wit

South African COVID-19 Diaries

Project Overview

In the week of March 23, 2020 Nancy Jacobs and Lorato

A data science analysis of the South African COVID-19 infodemic on Twitter

The rapid dissemination of information on Twitter (X), particularly during COVID-19, has exacerbated

South African COVID-19 Vulnerability Map

Can we infer important COVID-19 public health risk factors from outdated data?
South Africa is divided into 4,392 wards. We will aggregate the target indicators (households with 5+ members and no on-premises water) and the other predictive variables from th

ValentineChisango/COVID-19-NICD-Data-South-Africa

Provincial level data on Covid-19 cases and tests in South Africa # COVID-19-NICD-Data-South-Africa