Analysing Spatial Patterns of the COVID-19 Outbreak in Turkey

dc.contributor.authorZeren, Fatma
dc.date.accessioned2022-10-27T13:20:08Z
dc.date.available2022-10-27T13:20:08Z
dc.date.issued2020
dc.departmentİnönü Üniversitesien_US
dc.description.abstractCOVID-19 is first detected on 12 March 2020 in Turkey, and since that day more than 100 thousand people are infected. In this study, we aim to determine risky provinces in terms of COVID-19 outbreak and also explore the spatial dynamics of the outbreak in Turkey using province-level data. To analyze spatial patterns of COVID-19, we employ spatial dependence statistics Moran-I. Also, we employ Local Indicator Spatial Association-LISA to detect the hot-spots and cold-spots. Moran-I coefficient found as low and statistically significant that shows spatial interaction is not strong in the context of the whole country. Also using LISA, we found Düzce, Kocaeli, Ordu, Tekirdağ, and Trabzon as hot-spots for data period, which indicates these cities can be classified as risky in terms of COVID-19 outbreak. There are more spatial interaction with their neighbours cities. In terms of the COVID-19 variable, in hot-spot provinces and neighboring provinces of these provinces, measures should be intensified, and control should be increased.en_US
dc.identifier.citationzeren f, YILANCI V (2020). Analysing Spatial Patterns of the COVID-19 Outbreak in Turkey. Bingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (Online), 4(2), 27 - 40. 10.33399/biibfad.789117en_US
dc.identifier.doi10.33399/biibfad.789117en_US
dc.identifier.endpage40en_US
dc.identifier.issn2651-3234
dc.identifier.issn2651-3307
dc.identifier.issue2en_US
dc.identifier.startpage27en_US
dc.identifier.trdizinid431255en_US
dc.identifier.urihttps://doi.org/10.33399/biibfad.789117
dc.identifier.urihttps://hdl.handle.net/11616/85226
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/431255
dc.identifier.volume4en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofBingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (Online)en_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleAnalysing Spatial Patterns of the COVID-19 Outbreak in Turkeyen_US
dc.typeArticleen_US

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