Papers
Topics
Authors
Recent
Search
2000 character limit reached

Creating a Spatial Vulnerability Index for Environmental Health

Published 22 Mar 2024 in stat.ME and stat.AP | (2403.14954v1)

Abstract: Extreme natural hazards are increasing in frequency and intensity. These natural changes in our environment, combined with man-made pollution, have substantial economic, social and health impacts globally. The impact of the environment on human health (environmental health) is becoming well understood in international research literature. However, there are significant barriers to understanding key characteristics of this impact, related to substantial data volumes, data access rights and the time required to compile and compare data over regions and time. This study aims to reduce these barriers in Australia by creating an open data repository of national environmental health data and presenting a methodology for the production of health outcome-weighted population vulnerability indices related to extreme heat, extreme cold and air pollution at various temporal and geographical resolutions. Current state-of-the-art methods for the calculation of vulnerability indices include equal weight percentile ranking and the use of principal component analysis (PCA). The weighted vulnerability index methodology proposed in this study offers an advantage over others in the literature by considering health outcomes in the calculation process. The resulting vulnerability percentiles more clearly align population sensitivity and adaptive capacity with health risks. The temporal and spatial resolutions of the indices enable national monitoring on a scale never before seen across Australia. Additionally, we show that a weekly temporal resolution can be used to identify spikes in vulnerability due to changes in relative national environmental exposure.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (65)
  1. A. Prüss-Üstün, J. Wolf, C. Corvalán, R. Bos, and M. Neira, “Preventing disease through healthy environments: a global assessment of the burden of disease from environmental risks,” World Health Organization, Tech. Rep., 2016.
  2. N. Seltenrich, “Between extremes: health effects of heat and cold,” Environmental Health Perspectives, vol. 123, no. 11, p. 276–280, 2015.
  3. I. Manisalidis, E. Stavropoulou, A. Stavropoulos, and E. Bezirtzoglou, “Environmental health impacts of air pollution: a review,” Frontiers in Public Health, vol. 8, p. 14, 2020.
  4. IPCC, “Climate change 2021: The physical science basis: Summary for policymakers,” Cambridge University Press Cambridge, Tech. Rep., 2021.
  5. P. Kinney, “Climate change, air quality, and human health,” American Journal of Preventive Medicine, vol. 35, no. 5, p. 459–467, 2008.
  6. IQAir, “Air quality in Australia,” in IQAir, 2021. [Online]. Available: https://www.iqair.com/au/australia
  7. Australian Institute of Health and Welfare, “Australian burden of disease study: impact of illness and death in Australia,” in AIHW, Canberra, 2011.
  8. L. Coates, K. Haynes, J. O’brien, J. McAneney, and F. D. De Oliveira, “Exploring 167 years of vulnerability: An examination of extreme heat events in Australia 1844–2010,” Environmental Science & Policy, vol. 42, pp. 33–44, 2014.
  9. L. Coates, J. van Leeuwen, S. Browning, A. Gissing, J. Bratchell, and A. Avci, “Heatwave fatalities in Australia, 2001–2018: an analysis of coronial records,” International Journal of Disaster Risk Reduction, vol. 67, p. 102671, 2022.
  10. A. Gasparrini, Y. Guo, M. Hashizume, E. Lavigne, A. Zanobetti, J. Schwartz, A. Tobias, S. Tong, J. Rocklov, B. Forsberg, and M. Leone, “Mortality risk attributable to high and low ambient temperature: a multicountry observational study,” The Lancet, vol. 386, no. 9991, p. 369–375, 2015.
  11. S. Vardoulakis, K. Dear, S. Hajat, C. Heaviside, B. Eggen, and A. McMichael, “Comparative assessment of the effects of climate change on heat-and cold-related mortality in the United Kingdom and Australia,” Environmental Health Perspectives, vol. 122, no. 12, p. 1285–1292, 2014.
  12. B. Wondmagegn, J. Xiang, K. Dear, S. Williams, A. Hansen, D. Pisaniello, M. Nitschke, J. Nairn, B. Scalley, A. Xiao, L. Jian, M. Tong, H. Bambrick, J. Karnon, and P. Bi, “Increasing impacts of temperature on hospital admissions, length of stay, and related healthcare costs in the context of climate change in Adelaide, South Australia,” Science of the total Environment, vol. 773, p. 145656, 2021.
  13. P. Kinney, J. Schwartz, M. P, P. Elisaveta, A. Terte, S. Medina, and R. Vautard, “Winter season mortality: will climate warming bring benefits?” Environmental Research Letters, vol. 10, no. 6, p. 064016, 2015.
  14. Environmental Health Indicators New Zealand, “Monitoring New Zealand’s environmental health.” [Online]. Available: https://www.ehinz.ac.nz
  15. L. Frank and P. Engelke, “Multiple impacts of the built environment on public health: walkable places and the exposure to air pollution,” International Regional Science Review, vol. 28, no. 2, p. 193–216, 2005.
  16. A. D’Addona, N. Mullan, and J. Dodds, “Investigation, scoping and planning of a national environmental health tracking system,” West Australian Department of Health for enHealth Committee. Environmental Health Directorate, 2010.
  17. F. Armstrong, S. Cooke, D. Rissik, and F. Tonmoy, “Human health and wellbeing climate change adaptation plan for Queensland,” Department of Environment and Science (Qld), Tech. Rep., 2018.
  18. Health Effects Institute, “State of Global Air 2020.” [Online]. Available: https://www.stateofglobalair.org/
  19. G. Burton, S. Rufat, and E. Tate, “Social vulnerability: conceptual foundations and geospatial modelling,” in Vulnerability and Resilience to Natural Hazards.   Cambridge University Press, 2018, p. 53–81.
  20. National Resilience Taskforce, “Profiling Australia’s vulnerability: the interconnected causes and cascading effects of systemic disaster risk,” Canberra, 2018.
  21. A. Dwyer, C. Zoppou, O. Nielsen, S. Day, and S. Roberts, “Quantifying social vulnerability: a methodology for identifying those at risk to natural hazards,” Geoscience Australia, Canberra, 2004.
  22. S. Begg, T. Vos, B. Barker, C. Stevenson, L. Stanley, and A. D. Lopez, “The burden of disease and injury in Australia 2003,” Australian Institute of Health and Welfare, Tech. Rep., 2007.
  23. M. Beaty and B. Varghese, “Reducing illness and lives lost from heatwaves,” in Bureau of Meteorology, Canberra, 2021.
  24. Centre for Population at Treasury for the Australian Institute of Health and Welfare, “Profile of Australia’s population,” 2022. [Online]. Available: https://www.aihw.gov.au/reports/australias-health/profile-of-australias-population
  25. M. L. Parry, O. Canziani, J. Palutikof, P. Van der Linden, and C. Hanson, “Climate change 2007 impacts, adaptation and vulnerability: Working group II contribution to the fourth assessment report of the IPCC,” Cambridge University Press, Tech. Rep., 2007.
  26. B. R. Gurjar, A. Jain, A. Sharma, A. Agarwal, P. Gupta, A. Nagpure, and J. Lelieveld, “Human health risks in megacities due to air pollution,” Atmospheric Environment, vol. 44, no. 36, pp. 4606–4613, 2010.
  27. C. Keijzer, D. Agis, A. Ambros, and G. Arevalo, “The association of air pollution and greenness with mortality and life expectancy in Spain: A small-area study,” Environment International, vol. 99, p. 170–176, 2017.
  28. D. Hondula, R. Davis, M. Leisten, M. Saha, L. Veazey, and C. Wegner, “Fine-scale spatial variability of heat-related mortality in Philadelphia County, USA, from 1983-2008: a case-series analysis,” Environmental Health, vol. 11, no. 1, p. 1–11, 2012.
  29. C. Rinner, D. Patychuk, K. Bassil, S. Nasr, S. Gower, and M. Campbell, “The role of maps in neighborhood-level heat vulnerability assessment for the city of Toronto,” Catography and Geographic Information Science, vol. 37, no. 1, p. 31–44, 2010.
  30. C. Reid, M. O’Neill, C. Gronlund, S. Brines, D. Brown, A. Diez-Roux, and J. Schwartz, “Mapping community determinants of heat vulnerability,” Environmental Health Perspectives, vol. 117, no. 11, p. 1730–1736, 2009.
  31. J. Yu, K. Castellani, K. Forysinski, P. Gustafson, J. Lu, E. Peterson, M. Tran, A. Yao, J. Zhao, and M. Brauer, “Geospatial indicators of exposure, sensitivity, and adaptive capacity to assess neighbourhood variation in vulnerability to climate change-related health hazards,” Environmental Health, vol. 20, no. 1, p. 1–20, 2021.
  32. A. El-Zein and F. Tonmoy, “Assessment of vulnerability to climate change using a multi-criteria outranking approach with application to heat stress in Sydney,” Ecological Indicators, vol. 48, p. 207–217, 2015.
  33. University of New South Wales, “Heat vulnerability index for Sydney.” [Online]. Available: https://cityfutures.be.unsw.edu.au/cityviz/heat-vulnerability-index-sydney/
  34. L. Inostroza, M. Palme, and F. Barrera, “A heat vulnerability index: spatial patterns of exposure, sensitivity and adaptive capacity for Santiago de Chile,” PLOS One, vol. 11, no. 9, p. 0162464, 2016.
  35. D. Brousmiche, F. Occelli, M. Genin, D. Cuny, A. Deram, and C. Lanier, “Spatialized composite indices to evaluate environmental health inequalities: Meeting the challenge of selecting relevant variables,” Ecological Indicators, vol. 111, p. 106023, 2020.
  36. Australian Bureau of Statistics, “Australian statistical geography standard (ASGS) edition 3,” Australian Government Canberra, Tech. Rep., 2021.
  37. ——, “Local government areas,” 2021. [Online]. Available: https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures/local-government-areas
  38. Commonwealth Scientific and Industrial Research Organisation, “Local government areas,” 2023. [Online]. Available: https://ahd.csiro.au/dashboards/energy-rating/lga/
  39. Bureau of Meteorology, “Long-range weather and climate,” 2021. [Online]. Available: http://www.bom.gov.au/climate/
  40. J. Nairn and R. Fawcett, “Defining heatwaves: heatwave defined as a heat impact event servicing all community and business,” The Centre for Australian Weather and Climate Research, 2013.
  41. ——, “The excess heat factor: a metric for heatwave intensity and its use in classifying heatwave severity,” International Journal of Environmental Research and Public Health, vol. 12, p. 227–253, 2015.
  42. B. Scalley, T. Spicer, L. Jian, J. Xiao, J. Nairn, A. Robertson, and T. Weeramanthri, “Responding to heatave intensity: excess heat factor is a superior predictor of health service utilisation and a trigger for heatwave plans,” Australia and New Zealand Journal of Public Health, vol. 39, no. 6, p. 582–587, 2015.
  43. J. Xiao, T. Spicer, L. Jian, G. Yun, C. Shao, J. Nairn, R. Fawcett, A. Robertson, and T. Weeramanthri, “Variation in population vulnerability to heat wave in Western Australia,” Frontiers in Public Health, vol. 5, no. 64, p. 1–10, 2017.
  44. Copernicus, “CAMS global reanalysis (EAC4),” 2021. [Online]. Available: https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-reanalysis-eac4?tab=overview
  45. Australian Bureau of Statistics, “What the Census is,” 2021. [Online]. Available: https://www.abs.gov.au/census/learn/about
  46. Geoscience Australia, “DEA waterbodies,” 2021. [Online]. Available: https://www.ga.gov.au/dea/products/dea-waterbodies
  47. NASA, “MODIS vegetation index products (NDVI and EVI),” 2021. [Online]. Available: https://modis.gsfc.nasa.gov/data/dataprod/mod13.php
  48. TERN, “Seasonal ground cover - landsat, JRSRP algorithm, Australia coverage,” 2021. [Online]. Available: https://portal.tern.org.au/seasonal-ground-cover-australia-coverage/22022
  49. B. Flanagan, E. Gregory, E. Hallisey, J. Heitgerd, and B. Lewis, “A social vulnerability index for disaster management,” Journal of Homeland Security and Emergency Management, vol. 8, no. 1, 2011.
  50. S. Cutter, B. Boruff, and W. Shirley, “Social vulnerability to environmental hazards,” Social Science Quarterly, vol. 84, no. 2, p. 242–261, 2003.
  51. Public Health Information Development Unit, “Notes on the data: chronic diseases and conditions,” 2021. [Online]. Available: https://phidu.torrens.edu.au/notes-on-the-data/health-status-disability-deaths/est-diabetes
  52. Australian Institute of Health and Welfare, “Mortality over regions and time (MORT) books,” 2021. [Online]. Available: https://www.aihw.gov.au/reports/life-expectancy-death/mort-books/contents/mort-books
  53. Public Health Information Development Unit, “Social health atlases.” [Online]. Available: https://phidu.torrens.edu.au/social-health-atlases
  54. Geoscience Australia, “Digital Earth Australia hotspots.” [Online]. Available: https://hotspots.dea.ga.gov.au/
  55. Office of the Assistant Secretary for Planning and Evaluation, “Vaccine hesitancy for COVID-19: State, county, and local estimates,” 2021. [Online]. Available: https://aspe.hhs.gov/reports/vaccine-hesitancy-covid-19-state-county-local-estimates
  56. Small Area Health Statistics Unit, “The environment and health atlas for England and Wales,” 2021. [Online]. Available: https://www.envhealthatlas.co.uk/homepage/
  57. United States Department of Health & Human Services, “CDC/ATSDR social vulnerability Index (SVI),” 2022. [Online]. Available: https://www.atsdr.cdc.gov/placeandhealth/svi/interactive_map.html
  58. United States Environmental Protection Agency, “EnviroAtlas interactive map,” 2022. [Online]. Available: https://www.epa.gov/enviroatlas/enviroatlas-interactive-map
  59. M. Ghose, R. Paul, and S. Banerjee, “Assessment of the impacts of vehicular emissions on urban air quality and its management in indian contect: the case of Kolkata (Calcutta),” Environmental Science and Policy, vol. 7, no. 4, p. 345–351, 2004.
  60. P. Romero-Lankao, H. Qin, and M. Borbor-Cordova, “Exploration of health risks related to air pollution and temperature in three Latin American cities,” Social Science and Medicine, vol. 83, p. 110–118, 2013.
  61. S. Dasgupta, S. Lall, and D. Wheeler, “Spatiotemporal analysis of traffic congestion, air pollution, and exposure vulnerability in Tanzania,” Science of the Total Environment, vol. 778, p. 147114, 2021.
  62. K. C. Conlon, E. Mallen, C. J. Gronlund, V. J. Berrocal, L. Larsen, and M. S. O’neill, “Mapping human vulnerability to extreme heat: a critical assessment of heat vulnerability indices created using principal components analysis,” Environmental health perspectives, vol. 128, no. 9, p. 097001, 2020.
  63. NASA Applied Remote Sensing Training Program, “Satellite remote sensing for measuring urban heat islands and constructing heat vulnerability indices.” [Online]. Available: http://appliedsciences.nasa.gov/join-mission/training/english/arset-satellite-remote-sensing-measuring-urban-heat-islands-and
  64. J. L. Schafer and M. K. Olsen, “Multiple imputation for multivariate missing-data problems: A data analyst’s perspective,” Multivariate behavioral research, vol. 33, no. 4, pp. 545–571, 1998.
  65. Y. Niu, Z. Li, Y. Gao, X. Liu, L. Xu, S. Vardoulakis, Y. Yue, J. Wang, and Q. Liu, “A systematic review of the development and validation of the heat vulnerability index: Major factors, methods, and spatial units,” Current climate change reports, vol. 7, no. 3, pp. 87–97, 2021.

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 2 tweets with 0 likes about this paper.