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.

Population density, a factor in the spread of COVID-19 in Algeria: statistic study

Domaine:

healthcare
Créateur:
NadMou
Éditeur:
Spr
Hôte:
Abstract Background Since November 2019, the world has suffered the disastrous consequences of the COVID-19 pandemic. No country has been spared either socially or economically. Given the inevitability of the spread of this virus, researches have been active to understand and to counteract the factors that anticipate its spread. In this research, we endorse population density as a catalyst factor for the proliferation of COVID-19 in Algeria. We are interested in the relationship between population density and the spread of COVID-19 in Algerian cities. The latter is characterized by a disparity in the concentration of the population according to the geographic location of each. Results The cluster analysis allowed us to isolate the groups of cities with the highest numbers of COVID-19 infected cases and the highest population densities. The regression models obtained suggest that there is a strong correlation between the population density and the number of COVID-19 infections in Algeria. This finding is verified by the correlation coefficients. Thus, it is estimated that population density has a positive effect on the spread of COVID-19 in the Algerian context during the study period. Conclusions The spread of COVID-19 in Algeria is increasing as the population density increases. Once this factor has been demonstrated, the fight against the proliferation of the virus can be thwarted by measures to raise public awareness of social distancing in public places namely supermarkets, markets, and cafes.

Visit

doi.org

Languages

Arabic, Algerian Spoken

Licenses

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

Similaires

Modeling the COVID-19 spread, a case study of EgyptMachine Learning-based forecasting models for COVID-19 spread in AlgeriaThe relatively young and rural population may limit the spread and severity of COVID-19 in Africa: a modelling studyGeospatial analysis of COVID-19 spread in Constantine, Algeria: epidemiological insights and policy recommendationsScrutinizing the Spread of Covid-19 in MadagascarInfluence of population density and access to sanitation on Covid-19 in Mozambique

Modeling the COVID-19 spread, a case study of Egypt

Abstract In this article, the authors applied a logistic growth model explaining the dynamics of th

Machine Learning-based forecasting models for COVID-19 spread in Algeria

Currently, the Algerian health system is facing the fourth wave of COVID-19 in which the number of r

The relatively young and rural population may limit the spread and severity of COVID-19 in Africa: a modelling study

Introduction A novel coronavirus disease 2019 (COVID-19) has spread to all reg

Geospatial analysis of COVID-19 spread in Constantine, Algeria: epidemiological insights and policy recommendations

The COVID-19 epidemic has profoundly affected societies worldwide. In Algeria, the province

Scrutinizing the Spread of Covid-19 in Madagascar

Abstract We scrutinize the evolution of Covid-19 in Madagascar

Influence of population density and access to sanitation on Covid-19 in Mozambique

In 2020, as COVID-19 spread through the world, prestigious entities published faulty predictions abo