Spatial distribution of Covid-19, a modeling approach: case of Algeria

Abstract

<jats:title>Abstract</jats:title> <jats:p>The objectives of this study are to modeling the spatial distribution of Covid-19 at the regional scale (Case of Algeria) based on geostatistcal study of covid-19 cases spatial distribution and Hybrid Kriging. The data analysis of a published officially Covid-19 reports by the Algerian Ministry of Health. a map of contamination by covid-19 has been obtained and a new model of risk evaluation has been developed and proposed to predict the propagation of this pandemic in Algeria. To conclude this work show areas with high population density are most exposed to virus propagation and death arising. Simulation show that infection by Covid-19 will arise to 14 000 cases in Algeria in the last of April also the velocity of transmission of this virus is rapid. Map obtained help the local authority to manage Covid-19 infections at the spatial scale.</jats:p>

Spatiotemporal Analysis of Covid-19 in Turkey

“…Previous studies that associated factors such as income in cities (Ferreira et al, 2020;Ramírez & Lee, 2020;, population density (Alcântara et al, 2020;Eryando et al, 2020;Ghosh & Cartone, 2020;Hafner, 2020;Han et al, 2021;Kang et al, 2020;Kim & Castro, 2020;Paez et al, 2020;Rahman et al, 2020;Rahmani et al, 2020;Ramírez & Lee, 2020;Sannigrahi et al, 2020;Sarkar et al, 2021;Selcuk et al, 2021;Xiong et al, 2020;You et al, 2020), population movement (Eryando et al, 2020;Kang et al, 2020;Kim & Castro, 2020;Liu et al, 2021;Q. Wang et al, 2021;Xie et al, 2020) and elderly population (Paez et al, 2020;Ramírez-Aldana et al, 2020;Sannigrahi et al, 2020) with the number of cases/death rates are important in terms of determining the variables affecting the pandemic.…”

Stages of spatial dispersion of the COVID-19 epidemic in Poland in the first six months (4 March-20 September, 2020).

“…There are also works based on very detailed spatial data in cities (Cordes & Castro, 2020). There is a growing number of works from peripheral parts of the world as well, such as Algeria (Rahmani et al, 2020) or Java Island (Fitriani & Yaja, 2020). These studies basically emphasize what is known about the spread of viruses in human populations, including more or less strong relationship with population density and mobility levels.…”

Spatial Differentiation of Covid-19 in Turkey

“…As part of the precautions that can be taken to control the Covid-19, most research has focused on the relationship of Covid-19 with socio-economic factors. Population density (Baser, 2021;Bhadra et al, 2021;Ganasegeran et al, 2021;Hafner, 2020;Han et al, 2021;Hou et al, 2021;Kadi & Khelfaoui, 2020;Kodera et al, 2020;Li et al, 2021;Rahmani et al, 2020;Sun et al, 2020;Sy et al, 2021;You et al, 2020), rate of aging population (Amdaoud et al, 2021;Bourdin et al, 2021;M. C. Ferreira, 2020;Hu et al, 2020;Mansour et al, 2021;Paez et al, 2020;Ramírez-Aldana et al, 2020;Raymundo et al, 2021;Sigler et al, 2021), GDP (Amdaoud et al, 2021;Bourdin et al, 2021;D.…”