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Spatiotemporal pattern of Covid-19 outbreak in Turkey
1Department of Econometrics, Faculty of Economics and Administrative Sciences, Bursa Uludag University, Bursa, Turkey.
Geojournal
|June 22, 2022
Summary
Turkey
Area of Science:
- Epidemiology
- Spatial Analysis
- Public Health Interventions
Background:
- The COVID-19 pandemic, originating in Wuhan, China, rapidly spread globally.
- Understanding disease transmission patterns is crucial for effective public health strategies.
Purpose of the Study:
- To evaluate COVID-19 clusters across Turkey's provinces.
- To assess the impact of national lockdown strategies on COVID-19 spatial patterns.
Main Methods:
- Spatial analysis of COVID-19 cases in 81 Turkish provinces from February 8 to June 28, 2021.
- Utilized Global and Local Moran's I and Gi* statistics to measure spatial autocorrelation.
- Examined weekly variations in spatial clustering.
Main Results:
- Significant spatial autocorrelation of COVID-19 was observed across Turkish provinces.
- The spatial structure of COVID-19 clusters exhibited weekly changes.
- Complete lockdown measures in Turkey demonstrated effectiveness in mitigating disease spread.
Conclusions:
- Spatial relationships play a vital role in controlling infectious disease transmission in Turkey.
- Lockdown strategies were effective in reducing the spatial spread of COVID-19.
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