The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
COVID-19 transmission in Mainland China is associated with temperature and humidity: A time-series analysis
Open accessAbstract
COVID-19 has become a pandemic. The influence of meteorological factors on the transmission and spread of COVID-19 if of interest. This study sought to examine the associations of daily average temperature (AT) and relative humidity (ARH) with the daily count of COVID-19 cases in 30 Chinese provinces (in Hubei from December 1, 2019 to February 11, 2020 and in other provinces from January 20, 2020 to Februarys 11, 2020). A Generalized Additive Model (GAM) was fitted to quantify the province-specific associations between meteorological variables and the daily cases of COVID-19 during the study periods. In the model, the 14-day exponential moving averages (EMAs) of AT and ARH, and their interaction were included with time trend and health-seeking behavior adjusted. Their spatial distributions were visualized. AT and ARH showed significantly negative associations with COVID-19 with a significant interaction between them (0.04, 95% confidence interval: 0.004-0.07) in Hubei. Every 1°C increase in the AT led to a decrease in the daily confirmed cases by 36% to 57% when ARH was in the range from 67% to 85.5%. Every 1% increase in ARH led to a decrease in the daily confirmed cases by 11% to 22% when AT was in the range from 5.04°C to 8.2°C. However, these associations were not consistent throughout Mainland China.
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Cites
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Cited by
ArunKumar, K. E., Kalaga, D. V., Mohan Sai Kumar, C., Kawaji, M., & Brenza, T. M. (2022) · Alexandria Engineering Journal · doi:10.1016/j.aej.2022.01.011 · Cited by 287
A review on COVID-19 forecasting models
Rahimi, I., Chen, F., & Gandomi, A. H. (2023) · Neural Computing and Applications · doi:10.1007/s00521-020-05626-8 · Cited by 282
Metadata
- Authors
- Qi, H., Xiao, S., Shi, R., Ward, M. P., Chen, Y., Tu, W., Su, Q., Wang, W., Wang, X., & Zhang, Z.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 728
- Pages
- 138778
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W3017051018
- Cited by
- 513
- References
- 19
- FWCI
- 18.98
- Type
- journal article
- Language
- en
- Open access
- green
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- Qi, H., Xiao, S., Shi, R., Ward, M. P., Chen, Y., Tu, W., Su, Q., Wang, W., Wang, X., & Zhang, Z. (2020). COVID-19 transmission in Mainland China is associated with temperature and humidity: A time-series analysis. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2020.138778
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