Spatiotemporal pattern of Covid-19 outbreak in Turkey

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GEOJOURNAL, vol.88, no.2, pp.1305-1316, 2023 (ESCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 88 Issue: 2
  • Publication Date: 2023
  • Doi Number: 10.1007/s10708-022-10666-9
  • Journal Name: GEOJOURNAL
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, IBZ Online, International Bibliography of Social Sciences, ABI/INFORM, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Compendex, Environment Index, Geobase, Hospitality & Tourism Complete, Hospitality & Tourism Index, Index Islamicus, Linguistic Bibliography, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, DIALNET, Civil Engineering Abstracts
  • Page Numbers: pp.1305-1316
  • Keywords: Covid-19, Turkey, Spatial statistics, Spatial autocorelation, Spatiotemporal pattern, LOCAL SPATIAL AUTOCORRELATION, SARS EPIDEMIC, ASSOCIATION, DYNAMICS, HEALTH, GIS
  • Bursa Uludag University Affiliated: Yes


The earliest case of Covid-19 was documented in Wuhan city of China and since then the virus has been spreading throughout the globe. The aim of this study is to evaluate the clusters of Covid-19 among the provinces in Turkey and to examine whether the clustering pattern has changed after the country's lockdown strategy. The spatial dependence of Covid-19 in 81 provinces of Turkey was examined by spatial analysis between February 8 and June 28, 2021. Global and Local Moran's I and Gi* were employed to measure the global and local spatial autocorrelation degrees. The geographical distribution of Covid-19 in the provinces of Turkey showed a strong spatial autocorrelation while the spatial structure of the clusters varied by weeks. The findings of the study show that the complete lockdown carried out in Turkey has been quite effective in mitigating Covid-19. The importance of spatial relations in preventing the spread of the disease in Turkey has also been demonstrated in this context.