ArticleGeoHealth2022
A Spatiotemporal Analysis of the COVID-19 Pandemic in North Africa.
Article in GeoHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Multimethod geospatial modeling of life expectancy determinants in China.Frontiers in public health · 2026Article
- Regional disparities and multidimensional determinants of hospital bed allocation in China: spatial evidence for public health policymaking.Frontiers in public health · 2026Article
- Modeling the drivers of mumps incidence in China: a spatial multi-method analysis.Frontiers in public health · 2026Article
- A multi-method spatial analysis of dysentery incidence determinants across Chinese provinces.Frontiers in public health · 2025Article
- Spatial patterns and socio-environmental determinants of gonorrhea incidence in China.Frontiers in public health · 2025Article
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1 author.
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Abstract
Spatial panel-data models are estimated to identify the factors of the prevalence of the coronavirus outbreak in North Africa. Using daily data on the number of cases collected between March 2020 and December 2021, three types of general models are investigated, and they include spatial spillovers between the neighboring countries of the region. In one model the spatial dependence is accounted for by adding a spatial lag of the dependent variable (SAR model). In an alternative specification, spatially correlated error terms are considered in the model (SEM), and in the third model a spatial lag dependent variable and spatially correlated errors are both added (SAC). To deal with unobservable individual heterogeneity, random and fixed individual effects specification are investigated in each of these models. The results of the maximum likelihood and generalized method of moments' estimations show that the lift of travel restrictions had an important impact on the spike in the numbers of COVID-19 cases in North Africa and that the effects of endogenous interactions between the countries are strongly significant. It is found that spatial spillovers and a change in the travel policy are the main factors that can explain the mechanism of spread the coronavirus pandemic in North Africa. However, more data on socio-demographic and behavioral variables and on vaccination rates are needed to better understand what caused the recent surge in the number of infections in the region.
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