Global evidence for ultraviolet radiation decreasing COVID-19 growth rates

被引:100
作者
Carleton, Tamma [1 ]
Cornetet, Jules [2 ]
Huybers, Peter [3 ]
Meng, Kyle C. [1 ,4 ,5 ]
Proctor, Jonathan [6 ,7 ]
机构
[1] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA
[2] Ecole Normale Super Paris Saclay, Dept Sci Sociales, F-94235 Cachan, France
[3] Harvard Univ, Dept Earth & Planetary Sci, Cambridge, MA 02138 USA
[4] Univ Calif Santa Barbara, Dept Econ, Santa Barbara, CA 93106 USA
[5] Natl Bur Econ Res, Cambridge, MA 02138 USA
[6] Harvard Univ, Ctr Environm, Cambridge, MA 02138 USA
[7] Harvard Univ, Data Sci Initiat, Cambridge, MA 02138 USA
关键词
COVID; 19; ultraviolet radiation; seasonality; TEMPERATURE; WEATHER; CORONAVIRUS; MORTALITY; TRANSMISSION; SENSITIVITY; HUMIDITY;
D O I
10.1073/pnas.2012370118
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
With nearly every country combating the 2019 novel coronavirus (COVID-19), there is a need to understand how local environmental conditions may modify transmission. To date, quantifying seasonality of the disease has been limited by scarce data and the difficulty of isolating climatological variables from other drivers of transmission in observational studies. We combine a spatially resolved dataset of confirmed COVID-19 cases, composed of 3,235 regions across 173 countries, with local environmental conditions and a statistical approach developed to quantify causal effects of environmental conditions in observational data settings. We find that ultraviolet (UV) radiation has a statistically significant effect on daily COVID-19 growth rates: a SD increase in UV lowers the daily growth rate of COVID-19 cases by similar to 1 percentage point over the subsequent 2.5 wk, relative to an average in-sample growth rate of 13.2%. The time pattern of lagged effects peaks 9 to 11 d after UV exposure, consistent with the combined timescale of incubation, testing, and reporting. Cumulative effects of temperature and humidity are not statistically significant. Simulations illustrate how seasonal changes in UV have influenced regional patterns of COVID-19 growth rates from January to June, indicating that UV has a substantially smaller effect on the spread of the disease than social distancing policies. Furthermore, total COVID-19 seasonality has indeterminate sign for most regions during this period due to uncertain effects of other environmental variables. Our findings indicate UV exposure influences COVID-19 cases, but a comprehensive understanding of seasonality awaits further analysis.
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页数:9
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