Malatya İli Örneğinde Nüfus YoğunluğununCOVID-19 İnsidansı ile İlişkisi
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Tarih
2021
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Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Giriş: Koronavirüs Hastalığı-2019 (COVID-19) pandemisi ile tüm dünyada sosyal ortamlardaki insan yoğunluğunun azaltılması ve sos yal mesafe kuralının uygulanması ile virüsün yayılımı azaltılmaya çalışılmıştır. Ancak yerleşim bölgelerinin nüfus yoğunluğu ile hastalığınyaygınlığı hakkında az sayıda araştırma vardır. Bu çalışmada, Malatya ili örneğinde nüfus yoğunluğu ile COVID-19 insidansı arasındakiilişkinin saptanması amaçlanmıştır.Materyal ve Metod: Korelasyonel (Ekolojik) bir araştırma olarak yapılan bu çalışmada Malatya ili ve ilçelerinin nüfus yoğunluğu km2 başına düşen kişi sayısı olarak hesaplandı. Yerleşim bölgelerinin COVID-19 insidansları ile hesaplanan nüfus yoğunluğu arasındaki ilişkiPearson korelasyon analizi kullanılarak araştırıldı. Bulgular: Malatya ili genel COVID-19 insidansı binde 77 olarak hesaplandı. İlçeler içinde Arguvan ile Kale’nin COVID-19 insidansının sırasıylabinde 11 ile 16 olarak en düşük, Yeşilyurt ile Battalgazi ilçelerinin COVID-19 insidansının ise sırasıyla 105 ile 69 olarak en yüksek düzeydeolduğu görüldü. Malatya ili ilçelerinin verileri karşılaştırıldığında insidans ve nüfus yoğunluğunun (r= 0.82, p= 0.001) çok yüksek düzeydekorelasyona sahip olduğu belirlenmiştir. Sonuç: Bu çalışmada, ülkemizin orta büyüklükte bir şehri olan Malatya’da nüfus yoğunluğu ile COVID-19 insidansı arasında önemli birkorelasyon bulunduğu saptanmıştır. COVID-19 pandemi yayılımı pek çok dinamik faktörle ilişkili olmakla birlikte; şehir planlamalarındanüfusun geniş alanlara yayılımı sağlanarak ileride oluşabilecek benzer salgınlara karşı direnç oluşturulabilir.
Introduction: Due to the Coronavirus Disease-2019 (COVID-19) pandemic, it has been tried to reduce the spread of the virus byreducing the density of people in social environments and applying social distance rule all over the world. However, there are few studieson the population density of residential areas and the prevalence of the disease. In this study, it was aimed to investigate the effect ofpopulation density on the incidence of COVID-19 in the sample of Malatya Province. Materials and Methods: In this study, which was conducted as a retrospective correlational (ecological) study, the population density ofMalatya province and its districts was calculated as the number of people per km2. The relationship between the COVID-19 incidencesof residential areas and the calculated population density was investigated dusing Pearson correlation analysis. Results: The overall incidence of COVID-19 in Malatya province was calculated as 77 per thousand. Among the districts, the COVID-19incidence of Arguvan and Kale was the lowest at 11 and 16 per thousand, respectively, and the COVID-19 incidences of Yeşilyurt andBattalgazi districts were the highest, as 105 and 69, respectively. When the data of Malatya province districts were compared, it wasdetermined that the incidence and population density (r= 0.82) had a very high correlation. Conclusion: In this study, it was determined that there is a significant correlation between population density and the incidence ofCOVID-19 in Malatya, a medium-sized city in our country. Although the spread of the COVID-19 pandemic is associated with manydynamic factors, in city planning, by spreading the population over large areas, resistance can be created against similar epidemicsthat may occur in the future.
Introduction: Due to the Coronavirus Disease-2019 (COVID-19) pandemic, it has been tried to reduce the spread of the virus byreducing the density of people in social environments and applying social distance rule all over the world. However, there are few studieson the population density of residential areas and the prevalence of the disease. In this study, it was aimed to investigate the effect ofpopulation density on the incidence of COVID-19 in the sample of Malatya Province. Materials and Methods: In this study, which was conducted as a retrospective correlational (ecological) study, the population density ofMalatya province and its districts was calculated as the number of people per km2. The relationship between the COVID-19 incidencesof residential areas and the calculated population density was investigated dusing Pearson correlation analysis. Results: The overall incidence of COVID-19 in Malatya province was calculated as 77 per thousand. Among the districts, the COVID-19incidence of Arguvan and Kale was the lowest at 11 and 16 per thousand, respectively, and the COVID-19 incidences of Yeşilyurt andBattalgazi districts were the highest, as 105 and 69, respectively. When the data of Malatya province districts were compared, it wasdetermined that the incidence and population density (r= 0.82) had a very high correlation. Conclusion: In this study, it was determined that there is a significant correlation between population density and the incidence ofCOVID-19 in Malatya, a medium-sized city in our country. Although the spread of the COVID-19 pandemic is associated with manydynamic factors, in city planning, by spreading the population over large areas, resistance can be created against similar epidemicsthat may occur in the future.
Açıklama
Anahtar Kelimeler
Kaynak
Flora İnfeksiyon Hastalıkları ve Klinik Mikrobiyoloji Dergisi
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
26
Sayı
4
Künye
TANRIVERDİ E, YAKUPOĞULLARI Y, BENTLİ R, OTLU B (2021). Malatya İli Örneğinde Nüfus YoğunluğununCOVID-19 İnsidansı ile İlişkisi. Flora İnfeksiyon Hastalıkları ve Klinik Mikrobiyoloji Dergisi, 26(4), 603 - 609. 10.5578/flora.20219605
