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Spatial diffusion of COVID-19 in Algeria during the third wave
Carlos M Leveau1,2, Hani Amir Aouissi3, Feriel Kheira Kebaili4
1Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Geojournal
|March 9, 2022
Summary
This study mapped COVID-19 (coronavirus disease 2019) cases and deaths in Algeria. Findings reveal distinct geographic patterns, highlighting northern and coastal regions for targeted public health interventions.
Area of Science:
- Epidemiology
- Public Health
- Spatial Analysis
Background:
- The geographic impact of the third wave of COVID-19 (coronavirus disease 2019) in Algeria remains unclear.
- Understanding spatial-temporal variations is crucial for effective public health strategies.
Purpose of the Study:
- To analyze the spatiotemporal variations of COVID-19 (coronavirus disease 2019) cases and deaths in Algeria from January to mid-August 2021.
- To identify high-risk and low-risk geographic clusters of the disease.
Main Methods:
- Data on COVID-19 (coronavirus disease 2019) cases and deaths were aggregated at the wilaya (province) level.
- Retrospective space-time permutation scan statistic was employed to detect spatial-temporal clusters.
Main Results:
- Fourteen spatio-temporal clusters of COVID-19 (coronavirus disease 2019) cases were identified, with one high-risk cluster.
- Seven low-risk case clusters predated the third wave and were in less populated areas.
- The largest low-risk death cluster was in southern Algeria (April-July 2021).
Conclusions:
- Northern and coastal wilayas (provinces) require prioritized resource allocation for interventions.
- Targeted quarantine and isolation measures are recommended in these areas to curb viral transmission.
- Spatial analysis provides critical insights for managing infectious disease outbreaks.
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