https://doi.org/10.4081/gh.2020.814
Geospatial context of social and environmental factors associated with health risk during temperature extremes: Review and discussion
Submitted: 17 September 2019
Accepted: 21 February 2020
Published: 22 June 2020
Accepted: 21 February 2020
Abstract Views: 1422
PDF: 841
Appendix: 130
HTML: 29
Appendix: 130
HTML: 29
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
This study reviews forty-six publications between 2008 and 2017 dealing with socio-environmental impacts on adverse health effects of temperature extremes, in a geospatial context. The review showed that most studies focus on extremely hot weather but lack analysis of how spatial heterogeneity across a region can influence cold mortality/morbidity. There are limitations regarding the use of temperature datasets for spatial analyses. Only a few studies have applied air temperature datasets with high spatial resolution to health studies, but none of these studies have used anthropogenic heat as a factor for analysis of health risk. In addition, the elderly is generally recognized as a vulnerable group in most studies, but the interaction between old age and temperature risk varies by location. Other socio-demographic factors such as low income, low education and accessibility to community shelters may also need to be considered in the future. There are only a few studies which investigate the interaction between temperature and air pollution in a geospatial context, despite the fact that this is a known interaction that can influence health risk under extreme weather. In conclusions, although investigation of temperature effects on health risk is already at the mature stage, studies of socio-environmental influences on human health under extreme weather in a geospatial context is still being investigated. A comprehensive assessment is required to analyse how the spatial aspects of the geophysical and social environments can influence human health under extreme weather, in order to develop a better community plan and health protocols for disaster preparedness.
Hondula, D. M., Davis, R. E., Rocklöv, J., & Saha, M. V. (2013). A time series approach for evaluating intra-city heat-related mortality. J Epidemiol Community Health, 67(8), 707-712.
DOI: https://doi.org/10.1136/jech-2012-202157
Onozuka, D., & Hagihara, A. (2017b). Spatiotemporal variations of extreme low temperature for emergency transport: a nationwide observational study. International journal of biometeorology, 61(6), 1081-1094.
DOI: https://doi.org/10.1007/s00484-016-1288-7
Urban, A., Burkart, K., Kyselý, J., Schuster, C., Plavcová, E., HanzlÃková, H. & Lakes, T. (2016). Spatial patterns of heat-related cardiovascular mortality in the Czech Republic. International journal of environmental research and public health, 13(3), 284.
DOI: https://doi.org/10.3390/ijerph13030284
Rey, G., Fouillet, A., Bessemoulin, P., Frayssinet, P., Dufour, A., Jougla, E., & Hémon, D. (2009). Heat exposure and socio-economic vulnerability as synergistic factors in heat-wave-related mortality. European journal of epidemiology, 24(9), 495-502.
DOI: https://doi.org/10.1007/s10654-009-9374-3
Schuster, C., Burkart, K., & Lakes, T. (2014). Heat mortality in Berlin–Spatial variability at the neighborhood scale. Urban Climate, 10, 134-147.
DOI: https://doi.org/10.1016/j.uclim.2014.10.008
Laaidi, K., Zeghnoun, A., Dousset, B., Bretin, P., Vandentorren, S., Giraudet, E., & Beaudeau, P. (2012). The impact of heat islands on mortality in Paris during the August 2003 heat wave. Environmental health perspectives, 120(2), 254-259.
DOI: https://doi.org/10.1289/ehp.1103532
Johnson, D. P., & Wilson, J. S. (2009). The socio-spatial dynamics of extreme urban heat events: The case of heat-related deaths in Philadelphia. Applied Geography, 29(3), 419-434.
DOI: https://doi.org/10.1016/j.apgeog.2008.11.004
Benmarhnia, T., Kihal-Talantikite, W., Ragettli, M. S., & Deguen, S. (2017). Small-area spatiotemporal analysis of heatwave impacts on elderly mortality in Paris: A cluster analysis approach. Science of the Total Environment, 592, 288-294.
DOI: https://doi.org/10.1016/j.scitotenv.2017.03.102
Hondula, D. M., Davis, R. E., Leisten, M. J., Saha, M. V., Veazey, L. M., & Wegner, C. R. (2012). Fine-scale spatial variability of heat-related mortality in Philadelphia County, USA, from 1983-2008: a case-series analysis. Environmental Health, 11(1), 16.
DOI: https://doi.org/10.1186/1476-069X-11-16
Lee, M., Shi, L., Zanobetti, A., & Schwartz, J. D. (2016). Study on the association between ambient temperature and mortality using spatially resolved exposure data. Environmental research, 151, 610-617.
DOI: https://doi.org/10.1016/j.envres.2016.08.029
Chien, L. C., Guo, Y., & Zhang, K. (2016). Spatiotemporal analysis of heat and heat wave effects on elderly mortality in Texas, 2006–2011. Science of the Total Environment, 562, 845-851.
DOI: https://doi.org/10.1016/j.scitotenv.2016.04.042
Hondula, D. M., Davis, R. E., Saha, M. V., Wegner, C. R., & Veazey, L. M. (2015). Geographic dimensions of heat-related mortality in seven US cities. Environmental research, 138, 439-452.
DOI: https://doi.org/10.1016/j.envres.2015.02.033
Onozuka, D., & Hagihara, A. (2017). Spatiotemporal variation in heat-related out-of-hospital cardiac arrest during the summer in Japan. Science of the Total Environment, 583, 401-407.
DOI: https://doi.org/10.1016/j.scitotenv.2017.01.081
Chau, P. H., Chan, K. C., & Woo, J. (2009). Hot weather warning might help to reduce elderly mortality in Hong Kong. International journal of biometeorology, 53(5), 461.
DOI: https://doi.org/10.1007/s00484-009-0232-5
Ho, H. C., Lau, K. K. L., Ren, C., & Ng, E. (2017b). Characterizing prolonged heat effects on mortality in a sub-tropical high-density city, Hong Kong. International journal of biometeorology, 61(11), 1935-1944.
DOI: https://doi.org/10.1007/s00484-017-1383-4
Bishop-Williams, K. E., Berke, O., Pearl, D. L., & Kelton, D. F. (2015). A spatial analysis of heat stress related emergency room visits in rural Southern Ontario during heat waves. BMC emergency medicine, 15(1), 17.
DOI: https://doi.org/10.1186/s12873-015-0043-4
Bassil, K. L., Cole, D. C., Moineddin, R., Craig, A. M., Lou, W. W., Schwartz, B., & Rea, E. (2009). Temporal and spatial variation of heat-related illness using 911 medical dispatch data. Environmental research, 109(5), 600-606.
DOI: https://doi.org/10.1016/j.envres.2009.03.011
Benmarhnia, T., Oulhote, Y., Petit, C., Lapostolle, A., Chauvin, P., Zmirou-Navier, D., & Deguen, S. (2014). Chronic air pollution and social deprivation as modifiers of the association between high temperature and daily mortality. Environmental Health, 13(1), 53.
DOI: https://doi.org/10.1186/1476-069X-13-53
Willers, S. M., Jonker, M. F., Klok, L., Keuken, M. P., Odink, J., van den Elshout, S., ... & Burdorf, A. (2016). High resolution exposure modelling of heat and air pollution and the impact on mortality. Environment international, 89, 102-109.
DOI: https://doi.org/10.1016/j.envint.2016.01.013
Pascal, M., Falq, G., Wagner, V., Chatignoux, E., Corso, M., Blanchard, M. & Larrieu, S. (2014). Short-term impacts of particulate matter (PM10, PM10–2.5, PM2. 5) on mortality in nine French cities. Atmospheric Environment, 95, 175-184.
DOI: https://doi.org/10.1016/j.atmosenv.2014.06.030
Burkart, K., Meier, F., Schneider, A., Breitner, S., Canário, P., Alcoforado, M. J. & Endlicher, W. (2016). Modification of heat-related mortality in an elderly urban population by vegetation (urban green) and proximity to water (urban blue): evidence from Lisbon, Portugal. Environmental health perspectives, 124(7), 927-934.
DOI: https://doi.org/10.1289/ehp.1409529
Rosenthal, J. K., Kinney, P. L., & Metzger, K. B. (2014). Intra-urban vulnerability to heat-related mortality in New York City, 1997–2006. Health & place, 30, 45-60.
DOI: https://doi.org/10.1016/j.healthplace.2014.07.014
Hattis, D., Ogneva-Himmelberger, Y., & Ratick, S. (2012). The spatial variability of heat-related mortality in Massachusetts. Applied Geography, 33, 45-52.
DOI: https://doi.org/10.1016/j.apgeog.2011.07.008
Qi, X., Hu, W., Mengersen, K., & Tong, S. (2014). Socio-environmental drivers and suicide in Australia: Bayesian spatial analysis. BMC public health, 14(1), 681.
DOI: https://doi.org/10.1186/1471-2458-14-681
Hondula, D. M., & Barnett, A. G. (2014). Heat-related morbidity in Brisbane, Australia: spatial variation and area-level predictors. Environmental health perspectives, 122(8), 831.
DOI: https://doi.org/10.1289/ehp.1307496
Chen, K., Huang, L., Zhou, L., Ma, Z., Bi, J., & Li, T. (2015). Spatial analysis of the effect of the 2010 heat wave on stroke mortality in Nanjing, China. Scientific reports, 5, 10816.
DOI: https://doi.org/10.1038/srep10816
Ho, H. C., Knudby, A., Walker, B. B., & Henderson, S. B. (2017). Delineation of spatial variability in the temperature–mortality relationship on extremely hot days in greater Vancouver, Canada. Environmental health perspectives, 125(1), 66-75.
DOI: https://doi.org/10.1289/EHP224
Vaneckova, P., Beggs, P. J., & Jacobson, C. R. (2010). Spatial analysis of heat-related mortality among the elderly between 1993 and 2004 in Sydney, Australia. Social science & medicine, 70(2), 293-304.
DOI: https://doi.org/10.1016/j.socscimed.2009.09.058
Tsin, P. K., Knudby, A., Krayenhoff, E. S., Ho, H. C., Brauer, M., & Henderson, S. B. (2016). Microscale mobile monitoring of urban air temperature. Urban Climate, 18, 58-72.
DOI: https://doi.org/10.1016/j.uclim.2016.10.001
Onozuka, D., & Hagihara, A. (2016). Spatial and temporal variation in emergency transport during periods of extreme heat in Japan: a nationwide study. Science of the Total Environment, 544, 220-229.
DOI: https://doi.org/10.1016/j.scitotenv.2015.11.098
Ibrahim, J. E., Murphy, B. J., Bugeja, L., & Ranson, D. (2015). Nature and Extent of Externalâ€Cause Deaths of Nursing Home Residents in Victoria, Australia. Journal of the American Geriatrics Society, 63(5), 954-962.
DOI: https://doi.org/10.1111/jgs.13377
Rebholz, C. M., Gu, D., Yang, W., Chen, J., Wu, X., Huang, J. F. & Bazzano, L. A. (2011). Mortality from suicide and other external cause injuries in China: a prospective cohort study. BMC public health, 11(1), 56.
DOI: https://doi.org/10.1186/1471-2458-11-56
Kim, E., Kim, H., Kim, Y. C., & Lee, J. P. (2018). Association between extreme temperature and kidney disease in South Korea, 2003–2013: Stratified by sex and age groups. Science of The Total Environment, 642, 800-808.
DOI: https://doi.org/10.1016/j.scitotenv.2018.06.055
Ross, M. E., Vicedo-Cabrera, A. M., Kopp, R. E., Song, L., Goldfarb, D. S., Pulido, J., ... & Tasian, G. E. (2018). Assessment of the combination of temperature and relative humidity on kidney stone presentations. Environmental research, 162, 97-105.
DOI: https://doi.org/10.1016/j.envres.2017.12.020
Chan, E. Y. Y., Goggins, W. B., Kim, J. J., & Griffiths, S. M. (2012). A study of intracity variation of temperature-related mortality and socioeconomic status among the Chinese population in Hong Kong. Journal of epidemiology and community health, 66(4), 322-327.
DOI: https://doi.org/10.1136/jech.2008.085167
Eisenman, D. P., Wilhalme, H., Tseng, C. H., Chester, M., English, P., Pincetl, S. & Dhaliwal, S. K. (2016). Heat Death Associations with the built environment, social vulnerability and their interactions with rising temperature. Health & place, 41, 89-99.
DOI: https://doi.org/10.1016/j.healthplace.2016.08.007
Thach, T. Q., Zheng, Q., Lai, P. C., Wong, P. P. Y., Chau, P. Y. K., Jahn, H. J., ... & Wong, C. M. (2015). Assessing spatial associations between thermal stress and mortality in Hong Kong: A small-area ecological study. Science of the Total Environment, 502, 666-672.
DOI: https://doi.org/10.1016/j.scitotenv.2014.09.057
Wang, C., Zhang, Z., Zhou, M., Zhang, L., Yin, P., Ye, W., & Chen, Y. (2017). Nonlinear relationship between extreme temperature and mortality in different temperature zones: A systematic study of 122 communities across the mainland of China. Science of the Total Environment, 586, 96-106.
DOI: https://doi.org/10.1016/j.scitotenv.2017.01.218
Heo, S., Lee, E., Kwon, B. Y., Lee, S., Jo, K. H., & Kim, J. (2016). Long-term changes in the heat–mortality relationship according to heterogeneous regional climate: a time-series study in South Korea. BMJ open, 6(8), e011786.
DOI: https://doi.org/10.1136/bmjopen-2016-011786
Bayentin, L., El Adlouni, S., Ouarda, T. B., Gosselin, P., Doyon, B., & Chebana, F. (2010). Spatial variability of climate effects on ischemic heart disease hospitalization rates for the period 1989-2006 in Quebec, Canada. International journal of health geographics, 9(1), 5.
DOI: https://doi.org/10.1186/1476-072X-9-5
Carmona, R., DÃaz, J., Mirón, I. J., Ortiz, C., León, I., & Linares, C. (2016). Geographical variation in relative risks associated with cold waves in Spain: the need for a cold wave prevention plan. Environment international, 88, 103-111.
DOI: https://doi.org/10.1016/j.envint.2015.12.027
Borden, K. A., & Cutter, S. L. (2008). Spatial patterns of natural hazards mortality in the United States. International journal of health geographics, 7(1), 64.
DOI: https://doi.org/10.1186/1476-072X-7-64
Burke, M., Heft-Neal, S., & Bendavid, E. (2016). Sources of variation in under-5 mortality across sub-Saharan Africa: a spatial analysis. The Lancet Global Health, 4(12), e936-e945.
DOI: https://doi.org/10.1016/S2214-109X(16)30212-1
Chen, K., Zhou, L., Chen, X., Ma, Z., Liu, Y., Huang, L. & Kinney, P. L. (2016). Urbanization level and vulnerability to heat-related mortality in Jiangsu Province, China. Environmental health perspectives, 124(12), 1863.
DOI: https://doi.org/10.1289/EHP204
Guo, C., Du, Y., Shen, S. Q., Lao, X. Q., Qian, J., & Ou, C. Q. (2017). Spatiotemporal analysis of tuberculosis incidence and its associated factors in mainland China. Epidemiology & Infection, 145(12), 2510-2519.
DOI: https://doi.org/10.1017/S0950268817001133
Harlan, S. L., Declet-Barreto, J. H., Stefanov, W. L., & Petitti, D. B. (2013). Neighborhood effects on heat deaths: social and environmental predictors of vulnerability in Maricopa County, Arizona. Environmental health perspectives, 121(2), 197-204.
DOI: https://doi.org/10.1289/ehp.1104625
Jenerette, G. D., Harlan, S. L., Buyantuev, A., Stefanov, W. L., Declet-Barreto, J., Ruddell, B. L., ... & Li, X. (2016). Micro-scale urban surface temperatures are related to land-cover features and residential heat related health impacts in Phoenix, AZ USA. Landscape Ecology, 31(4), 745-760.
DOI: https://doi.org/10.1007/s10980-015-0284-3
Johnson, D. P., Wilson, J. S., & Luber, G. C. (2009). Socioeconomic indicators of heat-related health risk supplemented with remotely sensed data. International Journal of Health Geographics, 8(1), 57.
DOI: https://doi.org/10.1186/1476-072X-8-57
Saha, S., Brock, J. W., Vaidyanathan, A., Easterling, D. R., & Luber, G. (2015). Spatial variation in hyperthermia emergency department visits among those with employer-based insurance in the United States–a case-crossover analysis. Environmental Health, 14(1), 20.
DOI: https://doi.org/10.1186/s12940-015-0005-z
Son, J. Y., Lane, K. J., Lee, J. T., & Bell, M. L. (2016). Urban vegetation and heat-related mortality in Seoul, Korea. Environmental research, 151, 728-733.
DOI: https://doi.org/10.1016/j.envres.2016.09.001
Taylor, J., Wilkinson, P., Davies, M., Armstrong, B., Chalabi, Z., Mavrogianni, A. & Bohnenstengel, S. I. (2015). Mapping the effects of urban heat island, housing, and age on excess heat-related mortality in London. Urban Climate, 14, 517-528.
DOI: https://doi.org/10.1016/j.uclim.2015.08.001
Uejio, C. K., Wilhelmi, O. V., Golden, J. S., Mills, D. M., Gulino, S. P., & Samenow, J. P. (2011). Intra-urban societal vulnerability to extreme heat: the role of heat exposure and the built environment, socioeconomics, and neighborhood stability. Health & Place, 17(2), 498-507.
DOI: https://doi.org/10.1016/j.healthplace.2010.12.005
Urban, A., & Kyselý, J. (2018). Application of spatial synoptic classification in evaluating links between heat stress and cardiovascular mortality and morbidity in Prague, Czech Republic. International journal of biometeorology, 62(1), 85-96.
DOI: https://doi.org/10.1007/s00484-015-1055-1
Vargo, J., Stone, B., Habeeb, D., Liu, P., & Russell, A. (2016). The social and spatial distribution of temperature-related health impacts from urban heat island reduction policies. Environmental Science & Policy, 66, 366-374.
DOI: https://doi.org/10.1016/j.envsci.2016.08.012
Wu, P. C., Lin, C. Y., Lung, S. C., Guo, H. R., Chou, C. H., & Su, H. J. (2011). Cardiovascular mortality during heat and cold events: determinants of regional vulnerability in Taiwan. Occupational and environmental medicine, 68(7), 525-530.
DOI: https://doi.org/10.1136/oem.2010.056168
How to Cite
Wong, M. S., Ho, H. C., & Tse, A. (2020). Geospatial context of social and environmental factors associated with health risk during temperature extremes: Review and discussion. Geospatial Health, 15(1). https://doi.org/10.4081/gh.2020.814
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.
