The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Impact of weather on COVID-19 pandemic in Turkey
Open accessAbstract
The coronavirus pandemic, which has numerous global implications, has led people to believe that nothing will be the same as before. The present day is dominated by studies on determining the factors that affect, taking preventive actions, and trying to find an effective treatment on top priority. Meteorological parameters are among the crucial factors affecting infectious diseases. The present study examines the correlation between weather and coronavirus disease 2019 (COVID-19) by considering nine cities in Turkey. In this regard, temperature (°C), dew point (°C), humidity (%), and wind speed (mph) are considered as parameters of weather. Research states that the incubation period of COVID-19 varies from 1 day to 14 days. Therefore, the effects of each parameter within 1, 3, 7, and 14 days are examined. In addition, the population is included as an effective parameter for evaluation. The analyses are conducted based on Spearman's correlation coefficients. The results showed that the highest correlations were observed for population, wind speed 14 days ago, and temperature on the day, respectively. The study results may guide authorities and decision-makers on taking specific measures for the cities.
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Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
Chan, J. F.-W., Yuan, S., Kok, K.-H., To, K. K.-W., Chu, H., Yang, J., Xing, F., Liu, J., Yip, C. C.-Y., Poon, R. W.-S., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30154-9 · Cited by 8,944
A novel coronavirus outbreak of global health concern
Wang, C., Horby, P. W., Hayden, F. G., & Gao, G. F. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30185-9 · Cited by 7,700
Lai, C.-C., Shih, T.-P., Ko, W.-C., Tang, H.-J., & Hsueh, P.-R. (2020) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2020.105924 · Cited by 6,068
The Effects of Temperature and Relative Humidity on the Viability of the SARS Coronavirus
Chan, K. H., Peiris, J. S. M., Lam, S. Y., Poon, L. L. M., Yuen, K. Y., & Seto, W. H. (2011) · Advances in Virology · doi:10.1155/2011/734690 · Cited by 979
Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China
Ma, Y., Zhao, Y., Liu, J., He, X., Wang, B., Fu, S., Yan, J., Niu, J., Zhou, J., & Luo, B. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.138226 · Cited by 942
Correlation between weather and Covid-19 pandemic in Jakarta, Indonesia
Tosepu, R., Gunawan, J., Effendy, D. S., Ahmad, L. O. A. I., Lestari, H., Bahar, H., & Asfian, P. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.138436 · Cited by 872
Association between ambient temperature and COVID-19 infection in 122 cities from China
Xie, J., & Zhu, Y. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.138201 · Cited by 813
van Doremalen, N., Bushmaker, T., & Munster, V. J. (2013) · Eurosurveillance · doi:10.2807/1560-7917.es2013.18.38.20590 · Cited by 582
Temperature Significantly Change COVID-19 Transmission in 429 cities
Wang, M., Jiang, A., Gong, L., Lu, L., Guo, W., Li, C., Zheng, J., Li, C., Yang, B., Zeng, J., et al. (2020) · medRxiv · doi:10.1101/2020.02.22.20025791 · Cited by 273
Cited by
Impact of population density on Covid-19 infected and mortality rate in India
Bhadra, A., Mukherjee, A., & Sarkar, K. (2021) · Modeling Earth Systems and Environment · doi:10.1007/s40808-020-00984-7 · Cited by 363
The impact of COVID-19 pandemic on sustainable development goals – A survey
Wang, Q., & Huang, R. (2021) · Environmental Research · doi:10.1016/j.envres.2021.111637 · Cited by 268
How do low wind speeds and high levels of air pollution support the spread of COVID-19?
Coccia, M. (2021) · Atmospheric Pollution Research · doi:10.1016/j.apr.2020.10.002 · Cited by 258
Metadata
- Authors
- Şahin, M.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 728
- Pages
- 138810
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W3016538817
- Cited by
- 391
- References
- 11
- FWCI
- 14.09
- Type
- journal article
- Language
- en
- Open access
- bronze
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