Geospatial analysis in the United States reveals the changing roles of temperature on COVID-19 transmission

Submitted: 12 May 2023
Accepted: 30 June 2023
Published: 20 July 2023
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Environmental factors are known to affect outbreak patterns of infectious disease, but their impacts on the spread of COVID-19 along with the evolution of this relationship over time intervals and in different regions are unclear. This study utilized 3 years of data on COVID-19 cases in the continental United States from 2020 to 2022 and the corresponding weather data. We used regression analysis to investigate weather impacts on COVID-19 spread in the mainland United States and estimate the changes of these impacts over space and time. Temperature exhibited a significant and moderately strong negative correlation for most of the US while relative humidity and precipitation experienced mixed relationships. By regressing temperature factors with the spreading rate of waves, we found temperature change can explain over 20% of the spatial-temporal variation in the COVID-19 spreading, with a significant and negative response between temperature change and spreading rate. The pandemic in the continental United States during 2020-2022 was characterized by seven waves, with different transmission rates and wave peaks concentrated in seven time periods. When repeating the analysis for waves in the seven periods and nine climate zones, we found temperature impacts evolve over time and space, possibly due to virus mutation, changes in population susceptibility, social behavior, and control measures. Temperature impacts became weaker in 6 of 9 climate zones from the beginning of the epidemic to the end of 2022, suggesting that COVID-19 has increasingly adapted to wider weather conditions.   



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Badr HS, Zaitchik BF, Kerr GH, Nguyen NH, Chen YT, Hinson P, Colston JM, Kosek MN, Dong E, Du H, Marshall M, Nixon K, Mohegh A, Goldberg DL, Anenberg SC, Gardner LM, 2023. Unified real-time environmental-epidemiological data for multiscale modeling of the covid-19 pandemic. Sci Data 10:367. DOI:
Baker RE, Yang W, Vecchi GA, Metcalf CJE, Grenfell BT, 2020. Susceptible supply limits the role of climate in the early SARS-CoV-2 pandemic. Science 369:315-319. DOI:
Bashir MF, Ma B, Bilal Komal B, Bashir MA, Tan D, Bashir M, 2020. Correlation between climate indicators and COVID-19 pandemic in New York, USA. Sci Total Environ 728:138835. DOI:
Bell B, Hersbach H, Simmons A, Berrisford P, Dahlgren P, Horányi A, Muñoz-Sabater J, Nicolas J, Radu R, Schepers D, Soci C, Villaume S, Bidlot JR, Haimberger L, Woollen J, Buontempo C, Thépaut JN. 2021. The ERA5 global reanalysis: Preliminary extension to 1950. Q J Royal Meteorol Soc 147:4186-4227. DOI:
Briz-Redon A, Serrano-Aroca A, 2020. The effect of climate on the spread of the COVID-19 pandemic: A review of findings, and statistical and modelling techniques. Prog Phys Geogr 44:591-604. DOI:
Carlson CJ, Gomez ACR, Bansal S, Ryan SJ, 2020. Misconceptions about weather and seasonality must not misguide COVID-19 response. Nat Commun 11:4312. DOI:
Chen B, Jia P, Han J, 2021. Role of indoor aerosols for COVID-19 viral transmission: a review. Environ Chem L 19:1953-1970. DOI:
Chien L, Chen L, 2020. Meteorological impacts on the incidence of COVID-19 in the U.S. Stoch Environ Res Risk Assess 34:1675-80. DOI:
Chien L, Chen L, Lin R, 2022. Lagged meteorological impacts on COVID-19 incidence among high-risk counties in the United States – a spatiotemporal analysis. J Expo Sci Environ Epidemiol 32:774-781. DOI:
Chin AWH, Chu JTS, Perera MRA, Hui KPY, Yen H, Chan MCW, Peiris M, Poon LLM. 2020. Stability of SARS-CoV-2 in different environmental conditions. Lancet Microbe 1:e10. DOI:
Cot C, Cacciapaglia G, Islind AS, Oskarsdottir M, Sannino F. 2021. Impact of US vaccination strategy on COVID-19 wave dynamics. Sci Rep11:10960. DOI:
Davis JT, Chinazzi M, Perra N, Mu K, Piontti AP, Ajelli M, Dean NE, Gioannini C, Litvinova M, Merler S, Rossi L, Sun K, Xiong X, Longini Jr IM, Hallran ME, Viboud C, Vespignani A, 2021. Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave. Nature 600:127-32. DOI:
Dong E, Du H, Gardner L, 2020. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis 20:533-435 DOI:
Engelbrecht F, Scholes RJ, 2021. Test for COVID-19 seasonality and the risk of second waves. One Health 12:100202. DOI:
Fares A, 2013. Factors influencing the seasonal patterns of infectious diseases. Int J Prev Mec 4:128-132.
Ficetola GF, Rubolini D, 2021. Containment measures limit environmental effects on COVID-19 early outbreak dynamics. Sci Total Environ 761:144432. DOI:
Harris JE. 2022. Mobility was a significant determinant of reported COVID-19 incidence during the Omicorn Surge in the most populous U.S. Counties. BMC Infect Dis 22:691. DOI:
Hersbach H, Bell B, Berrisford P, Hirahara S, Horányi A, Muñoz-Sabater J, Nicolas J, Peubey C, Radu R, Schepers D, Simmons A, Soci C, Abdalla S, Abellan X, Balsamo G, Bechtold P, Biavati G, Bidlot J, Bonavita M, De Chiara G, Dahlgren P, Dee D, Diamantakis M, Dragani R, Flemming J, Forbes R, Fuentes M, Geer A, Haimberger L, Healy S, Hogan RJ, Hólm E, Janisková M, Keeley S, Laloyaux P, Lopez P, Lupu C, Radnoti G, de Rosnay P, Rozum I, Vamborg F, Villaume S, Thépaut JN. 2020. The ERA5 global reanalysis. Q J R Meteorol Soc 146:1999-2049. DOI:
Karl T, Koss WJ, 1984. Regional and national monthly, seasonal, and annual temperature weighted by area, 1895-1983. Historical climatology series, 4-3. Available at
Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, Ren R, Leung KSM, Lau EHY, Wong JY, Xing X, Xiang N, Wu Y, Li C, Chen Q, Li D, Liu T, Zhao J, Liu M, Tu W, Chen C, Jin L, Yang R, Wang Q, Zhou S, Wang R, Liu H, Luo Y, Liu Y, Shao G, Li H, Tao Z, Yang Y, Deng Z, Liu B, Ma Z, Zhang Y, Shi G, Lam TTY, Wu JT, Gao GF, Cowling BJ, Yang B, Leung GM, Feng Z. 2020. Early transmission dynamics in Wuhan, China of novel coronavirus infected pneumonia. N Engl J Med 382:1199-208. DOI:
Liu J, et al, 2020. Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China. Sci Total Environ 726:138513. DOI:
Ma Y, Shaman J, Dubrow R, Chen K, 2021. Role of meteorological factors in the transmission of SARS-CoV-2 in the United States. Nat Commun 12:3602. DOI:
Martinez ME, 2018. The calendar of epidemics: Seasonal cycles of infectious diseases. PLoSPathog 14:e1007327. DOI:
Nickbakhsh S, Ho A, Marques DFP, McMenamin J, Gunson RN, Murcia PR, 2020. Epidemiology of seasonal coronaviruses: establishing the context for the emergence of coronavirus disease. J Infect Dis 222:17–25. DOI:
Pan Y, Darzi A, Kabiri A, Zhao G, Luo W, Xiong C, Zhang L. 2020. Quantifying human mobility behaviour changes during the COVID-19 outbreak in the United States. Sci Rep 10:20742. DOI:
Petrova VN, Russell CA, 2020. The evolution of seasonal influenza viruses. Nat Rev Microbiol 16:47–60. DOI:
Runkle JD, Sugg MM, Leeper RD, Rao Y, Matthews JL, Rennie JJ, 2020. Short-term effects of specific humidity and temperature on COVID-19 morbidity in select US cities. Sci Total Environ 720:140093. DOI:
Sen P, Yamana TK, Kandula S, Galanti M, Shaman J, 2021. Burden and characteristics of COVID-19 in the United States during 2020. Science 598:338-341. DOI:
Shaman J, Pitzer VE, Viboud C, Grenfell BT, Lipsitch M, 2010. Absolute humidity and the seasonal onset of influenza in the continental United States. PLoS Biol 8:e1000316. DOI:
van Doremalen N, Bushmaker N, Morris T, Holbrook DH, Gamble MG, Williamson A, Tamin BN, Harcourt A, Thornburg JL, Gerber NJM, et al. 2020. Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1. N Engl J Med 382:1564-7. DOI:
WHO Coronavirus (COVID-19) Dashboard. 2022. World Health Organizations. Accessed November 2022. Available from:
WHO, 2020. Clinical characteristics of covid-19 in China. N Engl J Med 382:1859-62. DOI:
Xiao S, Qi H, Ward MP, Wang W, Zhang J, Chen Y, Bergquist R, Tu W, Shi R, Hong J, Su Q, Zhao Z, Ba J, Qing Y, Zhang Z. 2021. Meteorological conditions are heterogeneous factors for COVID-19 risk in China. Environ Res 198:111182. DOI:
Zhao Y, Huang J, Zhang L, Chen S. 2021. The global transmission of new coronavirus variants. Environ Res 206:112240. DOI:

How to Cite

Xiong, R., & Li, X. (2023). Geospatial analysis in the United States reveals the changing roles of temperature on COVID-19 transmission. Geospatial Health, 18(2).