Increasing Hourly Population Exposure to Moderate Cold Under Climate Warming

Hongzhou Zhu , Yanjiao Wang , Jianping Duan , Cunde Xiao , Buwen Dong , Zhao-Liang Li , Dabo Guan , Fei Ge , Haoxin Zhang , Deliang Chen

International Journal of Disaster Risk Science ›› : 1 -16.

PDF
International Journal of Disaster Risk Science ›› :1 -16. DOI: 10.1007/s13753-026-00702-4
Article
research-article
Increasing Hourly Population Exposure to Moderate Cold Under Climate Warming
Author information +
History +
PDF

Abstract

Although the human health risk from cold stress may be greater than from heat stress, population cold exposure has received little attention compared to heat exposure in the context of climate warming. A particular puzzle is that while the number of cold days has markedly decreased under climate warming, the cold-related influenza positivity rate has substantially increased. Here we reveal global hourly population exposure for different cold categories based on observations and climate model simulations from 1979 to 2100, and explore the potential link between population cold exposure and influenza positivity rate. Our results show that the number of cold hours did not decrease uniformly across all categories under climate warming, but shifted from extreme cold to moderate cold. Global hourly population cold exposure increased substantially from 1979 to 2023 (2.05 × 1010 person-hours yr−1), and this trend is expected to persist in the near term with continued population growth. The number of influenza positives and the influenza positivity rate were significantly correlated with hourly population cold exposure. These findings imply a current risk of population cold exposure and emphasize the need for increased attention to this risk.

Keywords

Climate warming / Cold stress / Hourly population exposure / Influenza

Cite this article

Download citation ▾
Hongzhou Zhu, Yanjiao Wang, Jianping Duan, Cunde Xiao, Buwen Dong, Zhao-Liang Li, Dabo Guan, Fei Ge, Haoxin Zhang, Deliang Chen. Increasing Hourly Population Exposure to Moderate Cold Under Climate Warming. International Journal of Disaster Risk Science 1-16 DOI:10.1007/s13753-026-00702-4

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Arnold C. Death by climate change. Nature Climate Change. 2022, 12: 607-609.

[2]

Balasegaram S, Ogilvie F, Glasswell A, Anderson C, Cleary V, Turbitt D, McCloskey B. Patterns of early transmission of pandemic influenza in London – Link with deprivation. Influenza and Other Respiratory Viruses. 2012, 6(3): e35-e41.

[3]

Ballester J, Rodó X, Robine J, Herrmann FR. European seasonal mortality and influenza incidence due to winter temperature variability. Nature Climate Change. 2016, 6: 927-930.

[4]

Bota, A., M. Holmberg, L. Gardner, and M. Rosvall. 2021 Socioeconomic and environmental patterns behind H1N1 spreading in Sweden. Scientific Reports 11: Article 22512.

[5]

Brimicombe, C., C. Di Napoli, T. Quintino, F. Pappenberger, R. Cornforth, and H.L. Cloke. 2022 Thermofeel: A Python thermal comfort indices library. SoftwareX 18: Article 101005.

[6]

Broadbent AM, Krayenhoff ES, Georgescu M. The motley drivers of heat and cold exposure in 21st century US cities. Proceedings of the National Academy of Sciences. 2020, 117: 21108-21117.

[7]

Bröde P, Fiala D, Błażejczyk K, Holmér I, Jendritzky G, Kampmann B, Tinz B, Havenith G. Deriving the operational procedure for the Universal Thermal Climate Index (UTCI). International Journal of Biometeorology. 2012, 56: 481-494.

[8]

Cannon AJ, Sobie SR, Murdock TQ. Bias correction of GCM precipitation by quantile mapping: How well do methods preserve changes in quantiles and extremes?. Journal of Climate. 2015, 28: 6938-6959.

[9]

Carmona R, Díaz J, Mirón IJ, Ortiz C, Luna MY, Linares C. Mortality attributable to extreme temperatures in Spain: A comparative analysis by city. Environment International. 2016, 91: 22-28.

[10]

Carter-Templeton, H., G.F. Templeton, L.H. Nicoll, L. Maxie, T.S. Kittle, S.A. Jasko, E.E. Carpenter, and K.A. Monsen. 2022. Associations between weather-related data and influenza reports: A pilot study and related policy implications. Applied Nursing Research 67: Article 151413.

[11]

Chen C, Jiang DX, Yan DY, Pi LC, Zhang XB, Du YX, Liu XX, Yang Met al. . The global region-specific epidemiologic characteristics of influenza: World Health Organization FluNet data from 1996 to 2021. International Journal of Infectious Diseases. 2023, 129: 118-124.

[12]

Chen, C., X. Zhang, D. Jiang, D. Yan, Z. Guan, Y. Zhou, X. Liu, C. Huang, et al. 2021. Associations between temperature and influenza activity: A national time series study in China. International Journal of Environmental Research and Public Health 18: Article 10846.

[13]

Christiansen B, Alvarez-Castro C, Christidis N, Ciavarella A, Colfescu I, Cowan T, Eden J, Hauser Met al. . Was the cold European winter of 2009/10 modified by anthropogenic climate change? An attribution study. Journal of Climate. 2018, 31: 3387-3410.

[14]

CMA (China Meteorological Administration). 2017. Specifications for surface meteorological observation. Beijing: China Meteorological Press (in Chinese).

[15]

Collins KJ, Easton JC, Belfield-Smith H, Exton-Smith AN, Pluck RA. Effects of age on body temperature and blood pressure in cold environments. Clinical Science. 1985, 69: 465-470.

[16]

Cosgrove, B.A., D. Lohmann, K.E. Mitchell, P.R. Houser, E.F. Wood, J.C. Schaake, A. Robock, C.H. Marshall, et al. 2003. Real‐time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project. Journal of Geophysical Research: Atmospheres 108: Article 2002JD003118.

[17]

Di Napoli, C., C. Barnard, C. Prudhomme, H.L. Cloke, and F. Pappenberger. 2020. Thermal comfort indices derived from ERA5 reanalysis. Copernicus Climate Change Service (C3S), Climate Data Store (CDS).

[18]

Donaldson GC, Tchernjavskii VE, Ermakov SP, Bucher K, Keatinge WR. Winter mortality and cold stress in Yekaterinburg, Russia: Interview survey. BMJ. 1998, 316: 514-518.

[19]

Du, Y.J., M. Jing, C.M. Lu, J.R. Zong, L.L. Wang, and Q. Wang. 2022. Global population exposure to extreme temperatures and disease burden. International Journal of Environmental Research and Public Health 19: Article 13288.

[20]

Dunne, J.P., L.W. Horowitz, A.J. Adcroft, P. Ginoux, I.M. Held, J.G. John, J.P. Krasting, S. Malyshev, et al. 2020. The GFDL Earth System Model Version 4.1 (GFDL‐ESM 4.1): Overall coupled model description and simulation characteristics. Journal of Advances in Modeling Earth Systems 12: Article e2019MS002015.

[21]

Ebi KL, Capon A, Berry P, Broderick C, Dear RD, Havenith G, Honda Y, Kovats RSet al. . Hot weather and heat extremes: Health risks. The Lancet. 2021, 398: 698-708.

[22]

Eyring V, Bony S, Meehl GA, Senior CA, Stevens B, Stouffer RJ, Taylor KE. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geoscientific Model Development. 2016, 9: 1937-1958.

[23]

Ference RS, James AL, Stupak HD. Physiologic model for seasonal patterns in flu transmission. The Laryngoscope. 2020, 130: 309-313.

[24]

Fiala D, Havenith G, Bröde P, Kampmann B, Jendritzky G. UTCI-Fiala multi-node model of human heat transfer and temperature regulation. International Journal of Biometeorology. 2012, 56: 429-441.

[25]

Frieler K, Lange S, Piontek F, Reyer CPO, Schewe J, Warszawski L, Zhao F, Chini Let al. . Assessing the impacts of 1.5 °C global warming – Simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b). Geoscientific Model Development. 2017, 10: 4321-4345.

[26]

Fyke J, Weaver A. Reducing personal climate risk to reduce personal climate anxiety. Nature Climate Change. 2023, 13: 209-210.

[27]

Gao XJ, Wu J, Shi Y, Wu J, Han ZY, Zhang DF, Tong Y, Li RKet al. . Future changes in thermal comfort conditions over China based on multi-RegCM4 simulations. Atmospheric and Oceanic Science Letters. 2018, 11: 291-299.

[28]

Gasparrini A, Guo YM, Hashizume M, Lavigne E, Zanobetti A, Schwartz J, Tobias A, Tong Set al. . Mortality risk attributable to high and low ambient temperature: A multicountry observational study. The Lancet. 2015, 386: 369-375.

[29]

Geiger T, Gütschow J, Bresch DN, Emanuel K, Frieler K. Double benefit of limiting global warming for tropical cyclone exposure. Nature Climate Change. 2021, 11: 861-866.

[30]

Gelaro R, McCarty W, Suárez MJ, Todling R, Molod A, Takacs L, Randles CA, Darmenov Aet al. . The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). Journal of Climate. 2017, 30: 5419-5454.

[31]

Hajima T, Watanabe M, Yamamoto A, Tatebe H, Noguchi MA, Abe M, Ohgaito R, Ito Aet al. . Development of the MIROC-ES2L Earth system model and the evaluation of biogeochemical processes and feedbacks. Geoscientific Model Development. 2020, 13: 2197-2244.

[32]

Havenith G, Fiala D, Błazejczyk K, Richards M, Bröde P, Holmér I, Rintamaki H, Benshabat Yet al. . The UTCI-clothing model. International Journal of Biometeorology. 2012, 56: 461-470.

[33]

Hersbach, H., B. Bell, P. Berrisford, S. Hirahara, A. Horányi, J.M. Sabater, J. Nicolas, C. Peubey, et al. 2020. The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society 146. Wiley: 1999–2049.

[34]

Jones N. Why easing COVID restrictions could prompt a fierce flu rebound. Nature. 2021, 5987881395.

[35]

Jones B, O’Neill BC, McDaniel L, McGinnis S, Mearns LO, Tebaldi C. Future population exposure to US heat extremes. Nature Climate Change. 2015, 5: 652-655.

[36]

Kovats RS, Hajat S. Heat stress and public health: A critical review. Annual Review of Public Health. 2008, 29: 41-55.

[37]

Li, M.Y., W. Fang, R.L. Meng, J.X. Hu, G.H. He, Z.L. Hou, M.G. Zhou, C. Zhou, et al. 2023. The comparison of mortality burden between exposure to dry-cold events and wet-cold events: A nationwide study in China. Science of the Total Environment 904: Article 166859.

[38]

Lowen, A., and P. Palese. 2009. Transmission of influenza virus in temperate zones is predominantly by aerosol, in the tropics by contact: A hypothesis. PLoS Currents 1. https://doi.org/10.1371/currents.rrn1002.

[39]

Luo BK, Minnett PJ, Szczodrak M, Nalli NR, Morris VR. Accuracy assessment of MERRA-2 and ERA-Interim sea surface temperature, air temperature, and humidity profiles over the Atlantic Ocean using AEROSE measurements. Journal of Climate. 2020, 33: 6889-6909.

[40]

Martínez-Solanas È, Quijal-Zamorano M, Achebak H, Petrova D, Robine J, Herrmann FR, Rodó X, Ballester J. Projections of temperature-attributable mortality in Europe: A time series analysis of 147 contiguous regions in 16 countries. The Lancet Planetary Health. 2021, 5: e446-e454.

[41]

Mora C, Dousset B, Caldwell IR, Powell FE, Geronimo RC, Bielecki CR, Counsell CWW, Dietrich BSet al. . Global risk of deadly heat. Nature Climate Change. 2017, 7: 501-506.

[42]

O’Neill BC, Tebaldi C, Vuuren DPV, Eyring V, Friedlingstein P, Hurtt G, Knutti R, Kriegler Eet al. . The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6. Geoscientific Model Development. 2016, 9: 3461-3482.

[43]

Oudin Åström D, Forsberg B, Ebi KL, Rocklöv J. Attributing mortality from extreme temperatures to climate change in Stockholm, Sweden. Nature Climate Change. 2013, 3: 1050-1054.

[44]

Park JE, Son W-S, Ryu Y, Choi SB, Kwon O, Ahn I. Effects of temperature, humidity, and diurnal temperature range on influenza incidence in a temperate region. Influenza and Other Respiratory Viruses. 2020, 14: 11-18.

[45]

Paschalidou AK, Kassomenos PA, McGregor GR. Analysis of the synoptic winter mortality climatology in five regions of England: Searching for evidence of weather signals. Science of the Total Environment. 2017, 598: 432-444.

[46]

Patz JA, Campbell-Lendrum D, Holloway T, Foley JA. Impact of regional climate change on human health. Nature. 2005, 438: 310-317.

[47]

Peci, A., A.L. Winter, Y. Li, S. Gnaneshan, J. Liu, S. Mubareka, and J.B. Gubbay. 2019. Effects of absolute humidity, relative humidity, temperature, and wind speed on influenza activity in Toronto, Ontario, Canada. Applied and Environmental Microbiology 85: Article e02426-18.

[48]

Pennisi E. Living with heat. Science. 2020, 370: 778-781.

[49]

Peterson TC, Heim RR, Hirsch R, Kaiser DP, Brooks H, Diffenbaugh NS, Dole RM, Giovannettone JPet al. . Monitoring and understanding changes in heat waves, cold waves, floods, and droughts in the United States: State of knowledge. Bulletin of the American Meteorological Society. 2013, 94: 821-834.

[50]

Raatikka VP, Rytkönen M, Näyhä S, Hassi J. Prevalence of cold-related complaints, symptoms and injuries in the general population: The FINRISK 2002 cold substudy. International Journal of Biometeorology. 2007, 51: 441-448.

[51]

Romanello M, Napoli CD, Green C, Kennard H, Lampard P, Scamman D, Walawender M, Ali Zet al. . The 2023 report of the Lancet Countdown on health and climate change: The imperative for a health-centred response in a world facing irreversible harms. The Lancet. 2023, 402: 2346-2394.

[52]

Roussel, M., D. Pontier, J.M. Cohen, B. Lina, and D. Fouchet. 2016. Quantifying the role of weather on seasonal influenza. BMC Public Health 16: Article 441.

[53]

Shaman J, Kohn M. Absolute humidity modulates influenza survival, transmission, and seasonality. Proceedings of the National Academy of Sciences. 2009, 106: 3243-3248.

[54]

Sheridan SC, Allen MJ. Changes in the frequency and intensity of extreme temperature events and human health concerns. Current Climate Change Reports. 2015, 1: 155-162.

[55]

Shi J, Cui LL, Ma Y, Du HQ, Wen KM. Trends in temperature extremes and their association with circulation patterns in China during 1961–2015. Atmospheric Research. 2018, 212: 259-272.

[56]

Tamerius J, Nelson MI, Zhou SZ, Viboud C, Miller MA, Alonso WJ. Global influenza seasonality: Reconciling patterns across temperate and tropical regions. Environmental Health Perspectives. 2011, 119: 439-445.

[57]

The Eurowinter Group. Cold exposure and winter mortality from ischaemic heart disease, cerebrovascular disease, respiratory disease, and all causes in warm and cold regions of Europe. Lancet. 1997, 349: 1341-1346.

[58]

Tuholske, C., K. Caylor, C. Funk, A. Verdin, S. Sweeney, K. Grace, P. Peterson, and T. Evans. 2021. Global urban population exposure to extreme heat. Proceedings of the National Academy of Sciences 118: Article e2024792118.

[59]

van Oldenborgh, G.J., E. Mitchell-Larson, G.A. Vecchi, H. de Vries, R. Vautard, and F. Otto. 2019. Cold waves are getting milder in the northern midlatitudes. Environmental Research Letters 14: Article 114004.

[60]

Wen, A., T.H. Wu, X.D. Wu, X.F. Zhu, R. Li, J. Ni, G.J. Hu, Y.P. Qiao, et al. 2022. Evaluation of MERRA-2 land surface temperature dataset and its application in permafrost mapping over China. Atmospheric Research 279: Article 106373.

[61]

Woodhouse PR, Khaw KT, Plummer M. Seasonal variation of blood pressure and its relationship to ambient temperature in an elderly population. Journal of hypertension. 1993, 11: 1267-1274.

[62]

World Health Organization. Global Influenza Programme. 2022, Washington, DC, World Health Organization

[63]

Zhang, Y., Q.Z. Li, Y. Ge, X. Du, and H.Y. Wang. 2022. Growing prevalence of heat over cold extremes with overall milder extremes and multiple successive events. Communications Earth & Environment 3: Article 73.

[64]

Zhang PF, Ren GY, Xu Y, Wang XLL, Qin Y, Sun XB, Ren YY. Observed changes in extreme temperature over the global land based on a newly developed station daily dataset. Journal of Climate. 2019, 32: 8489-8509.

[65]

Zhang, Y.W., X.F. Wang, Y.F. Li, and J.Q. Ma. 2019. Spatiotemporal analysis of influenza in China, 2005–2018. Scientific Reports 9: Article 19650.

[66]

Zhao Q, Guo YM, Ye TT, Gasparrini A, Tong SL, Overcenco A, Urban A, Schneider Aet al. . Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: A three-stage modelling study. The Lancet Planetary Health. 2021, 5: e415-e425.

[67]

Zhu, H., and J. Duan. 2025. Inverted age-pyramidal global hourly population heat exposure. Environmental Research Letters 20: Article 124072.

RIGHTS & PERMISSIONS

The Author(s)

PDF

7

Accesses

0

Citation

Detail

Sections
Recommended

/