Relationship between COVID-19 and Community Mobility: Sample from Malatya Province

Basit Öğe Kaydı
dc.contributor.authorYılancı, Veli
dc.contributor.authorAkbulut, Ahmet Sami
dc.contributor.authorÖzer , Ali
dc.contributor.authorİşlek, Hüseyin
dc.contributor.authorZeren, Fatma
dc.contributor.authorBentli, Recep
dc.date.accessioned2025-01-27T19:38:30Z
dc.date.available2025-01-27T19:38:30Z
dc.date.issued2022
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractAfter the WHO defined the COVID-19 as a pandemic on March 11, 2020, measures such as wearing masks, keeping social distance, and staying at home were taken to reduce transmission worldwide. Community mobility is one of the important factors contributing to the uncontrolled spread of the epidemic. The aim of the study is to examine the relationship between the number of COVID-19 cases in the first half of 2021 in Türkiye's Malatya province and Google community mobility reports. The number of COVID-19 cases in Malatya between 01 January 2021 and 31 May 2021 was obtained from the Malatya Provincial Health Directorate. Community mobility data in the relevant period was obtained from Google community mobility. To examine the relationship between the number of COVID-19 cases and community mobility, wavelet coherence analysis was used. The Google mobility data used in the study consists of six different categories covering markets and pharmacies, parks, residential, retail, and recreational areas, public transport stops and workplaces. According to the results of wavelet coherence analysis, the increase in mobility in markets and pharmacies, retail and recreation areas, parks, workplaces, and transportation stations has increased the number of COVID-19 cases. The direction of the relationship between COVID-19 and residential mobility was found to be negative. In other words, the increase in the time spent in residences leads to a decrease in the number of COVID-19 cases. According to the results of wavelet coherence analysis, it was observed that in five of the six categories included in the study, there was a significant relationship between the number of cases and these categories, for the period examined at various frequencies. Depending on the degree of interactions at short- and long-term frequencies covered in the study, policy makers can determine short- and long-term policies to direct human mobility and thereby control the pandemic.
dc.identifier.doi10.5455/medscience.2022.07.159
dc.identifier.endpage1326
dc.identifier.issn2147-0634
dc.identifier.issue3
dc.identifier.startpage1322
dc.identifier.trdizinid1131399
dc.identifier.urihttps://doi.org/10.5455/medscience.2022.07.159
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1131399
dc.identifier.urihttps://hdl.handle.net/20.500.12428/17232
dc.identifier.volume11
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofMedicine Science
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TRD_20250125
dc.subjectNüfus İstatistikleri Bilimi
dc.subjectTarih
dc.subjectHalk ve Çevre Sağlığı
dc.subjectSiyasi Bilimler
dc.subjectKamu Yönetimi
dc.subjectCoğrafya
dc.titleRelationship between COVID-19 and Community Mobility: Sample from Malatya Province
dc.typeArticle

Dosyalar

Koleksiyon

TR-Dizin İndeksli Yayınlar Koleksiyonu