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Integrated assessment of potential health impact of global environmental change: Prospects and limitations

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Abstract

Estimating the future health impact of global environmental change requires scientific methods that extend beyond conventional health risk assessment in relation to existing exposures. The dynamic and non‐linear nature of these changes in large complex biophysical systems, the interactions between them, and the reference to future scenarios all contribute uncertainty. Potential health impacts can be estimated from historical analogues, by mathematical modelling, or by reasonable foresight (especially in relation to social and economic disruptions). Integrated assessment methods draw upon all these techniques. In particular, integrated mathematical modelling techniques are evolving, as scientists (and policy‐makers) come to terms with this complex scenario‐based impact assessment task.

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References

  1. M.B.A. van Asselt, A.H.W. Beusen and H.B.M. Hilderink, Uncertainty in integrated assessment: A social scientific perspective, Environmental Modeling and Assessment 1 (1996) 71-90.

    Article  Google Scholar 

  2. J.M. Balbus and J.A. Patz, Assessing impacts of climate change on human health and evaluating adaptation strategies, in: Climate Change Impacts Assessment Handbook, UNEP (in press).

  3. W. Bell, Foundations of Future Studies: Human Science for a New Era, Vols. 1 and 2 (Transaction Press, New Brunswick, 1997).

    Google Scholar 

  4. S. Boehmer-Christiansen, Global climate protection policy: the limits of scientific advice, Parts 1 and 2, Global Environmental Change 4 (1994) 140-159 and 185–200.

    Article  Google Scholar 

  5. M.J. Bouma and H.J. van der Kaay, The El Niño Southern Oscillation and the historic malaria epidemics on the Indian subcontinent and Sri Lanka: an early warning system for future epidemics?, Tropical Medicine and International Health 1 (1996) 86-96.

    Article  CAS  Google Scholar 

  6. R. Carson, Silent Spring (Penguin Books, London, 1962).

    Google Scholar 

  7. H.M. Gilles, Epidemiology of malaria, in: Bruce-Chwatt's Essential Malariology, eds. H.M. Gilles and D.A. Warrell (Edward Arnold, London, 1993).

    Google Scholar 

  8. G.E. Glass, J.L. Aron, J.H. Ellis and S.S. Yoon, Application of GIS Technology to Disease Control, Johns Hopkins University School of Hygiene and Public Health (1993).

  9. S. Hales, P. Weinstein and A. Woodward, Dengue fever epidemics in the South Pacific: driven by El Niño Southern Oscillation?, Lancet 348 (1996) 1664-65.

    Article  CAS  Google Scholar 

  10. A. Henderson-Sellers, Can we integrate climatic modelling and asessment?, Environmental Modeling and Assessment 1 (1996) 59-70.

    Article  Google Scholar 

  11. J.H. Holland, Genetic algorithms, Scientific American (June 1992).

  12. Intergovernmental Panel on Climate Change, Climate Change: the IPCC Assessment, eds. J.T. Houghton, G.J. Jenkins and J.J. Ephraums (Cambridge University Press, Cambridge, 1990).

    Google Scholar 

  13. Intergovernmental Panel on Climate Change, Climate Change 1995. Impacts, Adaptations and Mitigation of Climate Change: Scientific-technical Analyses, Contribution of working group II to the second assessment report of the Intergovernmental Panel on Climate Change, eds. R.T. Watson, M.C. Zinyowera and R.H. Moss (Cambridge University Press, New York, 1996).

    Google Scholar 

  14. L. Kalkstein, Health and climate change: direct impacts in cities, Lancet 342 (1993) 1397-99.

    Article  CAS  Google Scholar 

  15. S.A. Levin, B. Grenfell, A. Hastings and A.S. Perelson, Mathematical and computational challenges in population biology and ecosystems science, Science 275 (1997) 334-343.

    Article  CAS  Google Scholar 

  16. R. Levins, Preparing for uncertainty, Ecosystem Health 1 (1995) 47-57.

    Google Scholar 

  17. J.S. Mackenzie and D.W. Smith, Mosquito-borne viruses and epidemic polyarthritis, Medical Journal of Australia 164 (1996) 90-93.

    CAS  Google Scholar 

  18. W.J.M. Martens, Global atmospheric change and human health: an integrated modelling approach, Climate Research 6 (1966) 107-112.

    Google Scholar 

  19. W.J.M. Martens, Health impacts of climate change and ozone depletion. An eco-epidemiological modelling approach, University of Maastricht (1997).

  20. W.J.M. Martens, L.W. Niessen, J. Rotmans, T.H. Jetten and A.J. McMichael, Climate change and vector-borne disease: a global modelling perspective, Global Environmental Change 5 (1995) 195-209.

    Article  Google Scholar 

  21. P. Martin and M. Lefebvre, Malaria and climate: sensitivity of malaria potential transmission to climate, Ambio 24 (1995) 200-207.

    Google Scholar 

  22. A.J. McMichael, Global environmental change and human population health: a conceptual and scientific challenge for epidemiology, Int. J. Epidemiol. 22 (1993) 1-7.

    CAS  Google Scholar 

  23. A.J. McMichael, Global environmental change and human health: scales of impact, population vulnerability and research priorities, Beijer Discussion Paper Series 84, Beijer International Institute of Ecological Economics, Stockholm (1996).

    Google Scholar 

  24. A.J. McMichael and W.J.M. Martens, The health impacts of global climate change: grappling with scenarios, predictive models and multiple uncertainties, Ecosystem Health 1 (1995) 23-33.

    Google Scholar 

  25. A.J. McMichael and A.J. Woodward, Introduction, in: The Quantitative Estimation and Prediction of Cancer Risk, eds. E. Cardis et al., International Agency for Research on Cancer, Lyon (in press).

  26. M. Mitchell, An Introduction to Genetic Algorithms (MIT Press, Cambridge, MA, 1996).

    Google Scholar 

  27. M.L. Parry and C. Rosenzweig, Health and climate change: food supply and risk of hunger, Lancet 342 (1993) 1345-1437.

    Article  CAS  Google Scholar 

  28. J.A. Patz and J.M. Balbus, Methods for assessing public health vulnerability to global climate change, Climate Research 6 (1996) 113-125.

    Google Scholar 

  29. J.A. Patz, P.R. Epstein, T.A. Burke and J.M. Balbus, Global climate change and emerging infectious diseases, JAMA 275 (1996) 217-223.

    Article  CAS  Google Scholar 

  30. J.A. Patz, W.J.M. Martens, D.A. Focks and T.H. Jetten, Potential dengue fever risk projected by general circulation models of global climate change (unpublished manuscript).

  31. Risk Assessment Forum, Framework for ecological risk assessment, USEPA, Washington DC (1992).

  32. D.J. Rogers and S.E. Randolph, Mortality rates and population, density of tsetse flies correlated with satellite imagery, Nature 351 (1991) 739-741.

    Article  CAS  Google Scholar 

  33. T.L. Root and S.H. Schneider, Ecology and climate: research strategies and implication, Science 269 (1995) 334.

    CAS  Google Scholar 

  34. J. Rotmans et al., Global change and sustainable development: a modelling perspective for the next decade, RIVM Report No. 461502004, Bilthoven, Netherlands (1994).

    Google Scholar 

  35. J. Rotmans, M. Hulme and T.E. Downing, Climate change implications for Europe: an application of the ESCAPE model, Global Environmental Change 4 (1994) 97-124.

    Article  Google Scholar 

  36. I. Sethi and A.K. Jain, eds., Artificial Neural Networks and Pattern Recognition: Old and New Connections (Elsevier, Amsterdam, 1991).

    Google Scholar 

  37. H. Slaper, G.J.M. Velders, J.S. Daniel, F.R. de Gruijl and J.C. van der Leun, Estimates of ozone depletion and skin cancer incidence to examine the Vienna Convention achievements, Nature 384 (1996) 256-258.

    Article  CAS  Google Scholar 

  38. U.S. Environmental Protection Agency, A guidebook to comparing risks and setting environmental priorities, U.S. EPA, EPA 230-B-93-003 (1993).

  39. R.K. Washino and B.L. Wood, Application of remote sensing to arthropod vector surveillance and control, Am. J. Trop. Med. Hyg. 50(6 suppl) (1994) 134-144.

    CAS  Google Scholar 

  40. D.M. Watts et al., Effect of temperature on the vector efficiency of Aedes aegypti for dengue 2 virus, Am. J. Trop. Med. Hyg. 36 (1987) 143-152.

    CAS  Google Scholar 

  41. A.J. Woodward, Climate change and human health: the vulnerability of the Asia-Pacific, in: Climate Change and Human Health in the Asia-Pacific, eds. E. Jackson and K. Woollard (Greenpeace International, Amsterdam, in press).

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  1. Department of Epidemiology and Population Sciences, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK

    A.J. McMichael

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McMichael, A. Integrated assessment of potential health impact of global environmental change: Prospects and limitations. Environmental Modeling & Assessment 2, 129–137 (1997). https://doi.org/10.1023/A:1019061311283

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