Hava Koşullarının ve Bazı Demografik Özelliklerin Doğrulanmış COVID-19 Vakaları Üzerine Etkisi: Türkiye’nin 12 İstatistik Bölgesi Analizi

COVID-19, 2020’nin başından beri tüm dünyayı etkilemektedir. Mevcut kanıtlar, virüsün kontamine nesneler veya enfekte kişilerle yakın temas yoluyla yayıldığını gösterse de, virüsün hangi koşullar altında daha hızlı yayıldığına dair sınırlı araştırma vardır. Bu çalışma, COVID-19 vakaları ile meteorolojik koşullar arasındaki ilişkiyi ve bazı demografik özellikleri ortaya çıkarmak için yapılmıştır. Bu amaçla, gerçek hava sıcaklığı, nem, rüzgâr hızı gibi meteorolojik parametreler ve nüfustaki 65 yaş üstü birey sayısı, bireylerin eğitim düzeyi, nüfus yoğunluğu gibi demografik özeliklerle COVID-19 vakaları arasındaki ilişki analiz edilmiştir. Analizler, Spearman’ın korelasyon katsayılarına göre yapılmıştır. Sonuç olarak, gerçek hissedilen hava sıcaklığı, rüzgar hızı, nüfus yoğunluğu ve 65 yaş üstü birey sayısı ile COVID-19 vakaları arasında pozitif korelasyon, hava nem ile negatif korelasyon tespit edilmiştir.

Anahtar Kelimeler:

COVID-19, Koronavirüs, Hissedilen hava sıcaklığı, Rüzgar hızı, Nem, Yaş, Nüfus yoğunluğu

The Effect of Weather Conditions and Some Demographic Data on the Confirmed COVID-19 Cases: Analysis for 12 Statistical Regions of Turkey

COVID-19 has been affecting the world since the beginning of 2020. Although current evidence indicates that the virus spreads through contaminated objects or close contact with infected individuals, there is limited research on under what conditions the virus spreads faster. This study is conducted to reveal the relationship between COVID-19 cases and meteorological conditions and also some demographic characteristics. For this goal, real-feel air temperature, humidity, and wind speed; analyzed as meteorological parameters. The number of individuals over the age of 65, the education level of the individuals, and the population density are also considered as demographical parameters. The analyses are conducted based on Spearman’s correlation coefficients. The results proved that the positive correlation was calculated for real-feel air temperature, wind speed, population density, and the number of individuals over 65, whereas negatively correlated with humidity.

Keywords:

COVID-19, Coronavirus, Real-feel temperature, Wind speed, Humidity, Age, Population density,

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1. Fung, T., Liu, D., 2019. Human Coronavirus: Host Pathogen Interaciton. Annu Rev Microbiol, 73, 539-557. doi:10.1146/annurev- micro-020518-11579.
2. Hui, D., Azhar, E.I., Madani, T., Ntoumi, F., Kock, R., Dar, O., 2020. The Continuing 2019- nCoV Epidemic Threat of Novel Coronaviruses to Global Health-The Latest 2019 Novel Coronavirus Outbreak in Wuhan, China. International Journal of Infectious Diseases, 91, 264-266. doi:10.1016/j.ijid.2020. 01.009
3. COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). (2020, 11 03). Retrieved from Johns Hopkins University.
4. Hopkins, C., 2020. Loss of Sense of Smell as Marker of COVID-19 Infection. Ear, Nose and Throat Surgery Body of United Kingdom. Retrieved November 23, 2020.
5. Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Feng, Z., 2020. Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-infected Pneumonia. N. Engl. J. Med., 382(13), 1199–1207. doi: 10.1056/NEJMoa2001316.
6. Yueling, M., Zhao, Y., Jiangtao, L., Xiaotao, H., Bo, W., Fu, S., Bin, L., 2020. Effects of Temperature Variation and Humidity on the Death of COVID-19 in Wuhan, China. Science of The Total Environment, 724, 138226. doi: 10.1016/j.scitotenv.2020.138226.
7. Chen, B., Liang, H., Yuan, X., Hu, Y., Xu, M., Zhao, Y., Zhu, X., 2020. Roles of Meteorological Conditions in COVID-19 Transmission on a Worldwide Scale. medRxiv. doi: 10.1101/2020.03.16.20037168.
8. Mandal, C.C., Panwar, M.S., 2020. Can the Summer Temperatures Reduce COVID-19 cases? Public Health, 72-79. doi:10.1016/j.puhe.2020.05.065.
9. Ma, Y., Zhao, Y., Liu, J., He, X., Wang, B., Fu, S., Luo, B., 2020. Effects of Temperature Variation and Humidity on the Death of COVID-19 in Wuhan, China. Science of Total Environment, 724, 138226. doi:10.1016/j. sciotenv.2020.138226.
10. Xie, J., Zhu, Y., 2020. Association Between Ambient Temperature and COVID-19 Infection in 122 Cities from China. Science of the Total Environment,724. doi:10.1016/j. scitotenv.2020.138201.
11. Sahin, M., 2020. Impact of Weather on COVID-19 Pandemic in Turkey. Science of Total Environment, 728. doi: 10.1016/j. scitotenv.2020.138810.
12. Spearman, C., 1904. The Proof and Measurement of Association Between Two Things. Amer.J.Psychol. C., 72-101.
13. Chan, K.H., Malik Peiris, J.S., Lam, S.Y., Poon, L.L.M., Yuen, K.Y., Seto1, W.H., 2011. The Effects of Temperature and Relative Humidity on the Viability of the SARS Coronavirus. Advanced in Virology, 1-7.
14. Sun, Z., Thilagavathy, K., Kumar, S., He, G., Liu, S., 2020. Potential Factors Influencing Re- peated SARS Outbreaks in China. Int. J. Environ. Res. Public Health, 17(5), 1633. doi: 10.3390/ijerph17051633.
15. L ee, A., 2020. Wuhan Novel Coronavirus (COVID-19): Why Global Control is Challenging? Pub Health, 179, doi: 10.1016/j.puhe.2020.02.001.