The Effect of Seasonal Factors on the Spread and Mortality of COVID-19: Retrospective Multicenter Study

Year 2023, , 129 - 143, 30.04.2023

Cüneyt Arıkan , Adnan Yamanoğlu , Mustafa Agah Tekindal , Neslihan Siliv , Ejder Saylav Bora , Aslı Şener , Efe Kanter , Fatih Topal

https://doi.org/10.21020/husbfd.1213367

Abstract

Objectives: The impact of seasonal factors on the spread of Coronavirus-19 disease (COVID-19) is not yet clear. The aim of this study is to determine the effect of seasonal factors on the spread of COVID-19.
Methods: This multicenter retrospective study was performed by collecting 284-day COVID-19 data from two university hospitals in a metropolitan center. Correlations between the seasonal parameters of temperature, humidity, wind, and rainfall and the spread of COVID-19 and its clinical outcomes were evaluated using Spearman’s correlation test. Since no linear relationship was determined between variables exhibiting correlation, all models were tested using non-linear curve estimation regression models. The most powerful of the curve estimation regression models, capable of explaining more than 20% of the changes in COVID-19 parameters, was formulated to explain the expected number of events.
Results: A total of 24 225 patients were included in the study. The most powerful correlation was between mean daily temperature and daily case numbers (r:-0.643, p<0.00), with case numbers being highest on days when the mean temperature was 7-18℃. Mean temperate was capable of explaining 57% of COVID-19 case numbers (R-Square:0.571, p<0.00), the relationship between them being best explained in the ’S’ curve regression model. The formula ‘’Y=exp(2.07+31.34/x)’’ was obtained for the number of patients expected from the model according to mean temperature.
Conclusions: Temperature may be the most effective factor in the spread of COVID-19 and the number of cases may be predicted based on temperature.

Keywords

SARS-CoV-2, Pandemic, Temperature, Humidity, Fatality Rate

References

• Alzahrani, K. J., Sharif, N., Khan, A., Banjer, H. J., Parvez, A. K., & Dey, S. K. (2023). Impact of meteorological factors and population density on COVID-19 pandemic in Saudi Arabia. Saudi journal of biological sciences, 30(2), 103545. https://doi.org/10.1016/j.sjbs.2022.103545
• Bolaño-Ortiz, T. R., Camargo-Caicedo, Y., Puliafito, S. E., Ruggeri, M. F., Bolaño-Diaz, S., Pascual-Flores, R., Saturno, J., Ibarra-Espinosa, S., Mayol-Bracero, O. L., Torres-Delgado, E. & Cereceda-Balic, F. (2020). Spread of SARS-CoV-2 through Latin America and the Caribbean region: A look from its economic conditions, climate and air pollution indicators. Environmental Research, 191, 109938. https://doi.org/10.1016/j.envres.2020.109938
• Coccia, M. (2020). How High Wind Speed Can Reduce Negative Effects of Confirmed Cases and Total Deaths of COVID-19 Infection in Society. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3603380
• Çınaroğlu,O.S., Efgan, M.G., Payza U. The relationship of lactate clearance with mortality in COVID 19 pneumonia. Ann Clin Anal Med 2022;13 (Suppl.2):S85-88. https://doi.org/10.4328/ACAM.21361
• Endeshaw, F. B., Getnet, F., Temesgen, A. M., Mirkuzie, A. H., Olana, L. T., Alene, K. A., & Birhanie, S. K. (2022). Effects of climatic factors on COVID-19 transmission in Ethiopia. Scientific reports, 12(1), 19722. https://doi.org/10.1038/s41598-022-24024-9
• Fuhrmann, C. (2010). The Effects of Weather and Climate on the Seasonality of Influenza: What We Know and What We Need to Know: Effects of weather and climate on the seasonality of influenza. Geography Compass, 4(7), 718-730. https://doi.org/10.1111/j.1749-8198.2010.00343.x
• Harmooshi, N. N., Shirbandi, K. & Rahim, F. (2020). Environmental concern regarding the effect of humidity and temperature on 2019-nCoV survival: fact or fiction. Environmental Science and Pollution Research, 27(29), 36027-36036. https://doi.org/10.1007/s11356-020-09733-w
• Liu, J., Zhou, J., Yao, J., Zhang, X., Li, L., Xu, X., He, X., Wang, B., Fu, S., Niu, T., Yan, J., Shi, Y., Ren, X., Niu, J., Zhu, W., Li, S., Luo, B. & Zhang, K. (2020). Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China. Science of The Total Environment, 726, 138513. https://doi.org/10.1016/j.scitotenv.2020.138513
• Liu, X., Huang, J., Li, C., Zhao, Y., Wang, D., Huang, Z. & Yang, K. (2021). The role of seasonality in the spread of COVID-19 pandemic. Environmental Research, 195, 110874. https://doi.org/10.1016/j.envres.2021.110874
• Ma, Y., Zhao, Y., Liu, J., He, X., Wang, B., Fu, S., Yan, J., Niu, J., Zhou, J. & Luo, B. (2020). Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China. Science of The Total Environment, 724, 138226. https://doi.org/10.1016/j.scitotenv.2020.138226
• Menebo, M. M. (2020). Temperature and precipitation associate with Covid-19 new daily cases: A correlation study between weather and Covid-19 pandemic in Oslo, Norway. Science of The Total Environment, 737, 139659. https://doi.org/10.1016/j.scitotenv.2020.139659
• Meo, S. A., Abukhalaf, A. A., Alomar, A. A., Sumaya, O. Y., Sami, W., Shafi, K. M., Meo, A. S., Usmani, A. M. & Akram, J. (t.y.). Effect of heat and humidity on the incidence and mortality due to COVID-19 pandemic in European countries. 10.
• Raza, A., Khan, M. T. I., Ali, Q., Hussain, T. & Narjis, S. (2021). Association between meteorological indicators and COVID-19 pandemic in Pakistan. Environmental Science and Pollution Research, 28(30), 40378-40393. https://doi.org/10.1007/s11356-020-11203-2
• Salcido, A. & Castro, T. (2022). Influence of meteorological patterns on the 2020 COVID-19 pandemic in the Mexico City region. Environmental Advances, 7, 100157. https://doi.org/10.1016/j.envadv.2021.100157
• Scafetta, N. (2020). Distribution of the SARS-CoV-2 Pandemic and Its Monthly Forecast Based on Seasonal Climate Patterns. International Journal of Environmental Research and Public Health, 17(10), 3493. https://doi.org/10.3390/ijerph17103493
• Simpson, S., Kay, F. U., Abbara, S., Bhalla, S., Chung, J. H., Chung, M., Henry, T. S., Kanne, J. P., Kligerman, S., Ko, J. P. & Litt, H. (2020). Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA. Radiology: Cardiothoracic Imaging, 2(2), e200152. https://doi.org/10.1148/ryct.2020200152
• Tosepu, R., Gunawan, J., Effendy, D. S., Ahmad, L. O. A. I., Lestari, H., Bahar, H. & Asfian, P. (2020). Correlation between weather and Covid-19 pandemic in Jakarta, Indonesia. Science of The Total Environment, 725, 138436. https://doi.org/10.1016/j.scitotenv.2020.138436
• TÜİK Kurumsal. (t.y.). https://data.tuik.gov.tr/Bulten/Index?p=Adrese-Dayali-Nufus-Kayit-Sistemi-Sonuclari-2020-37210 Accessed on January 21, 2022.
• WHO Coronavirus (COVID-19) Dashboard | WHO Coronavirus (COVID-19) Dashboard With Vaccination Data. (t.y.). https://covid19.who.int Accessed on February 17, 2023.