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Data Mashups: Potential Contribution to Decision Support on Climate Change and Health

Author

Listed:
  • Lora E. Fleming

    (European Centre for Environment and Human Health, University of Exeter Medical School, Truro, Cornwall TR1 3HD, UK)

  • Andy Haines

    (London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK)

  • Brian Golding

    (Met Office, Exeter, Devon EX1 3PB, UK)

  • Anthony Kessel

    (Public Health England, London SW1W 9SZ, UK)

  • Anna Cichowska

    (Public Health England, London SW1W 9SZ, UK)

  • Clive E. Sabel

    (School of Geographical Sciences, University of Bristol, Bristol BS8 1SS, UK)

  • Michael H. Depledge

    (European Centre for Environment and Human Health, University of Exeter Medical School, Truro, Cornwall TR1 3HD, UK)

  • Christophe Sarran

    (Met Office, Exeter, Devon EX1 3PB, UK)

  • Nicholas J. Osborne

    (European Centre for Environment and Human Health, University of Exeter Medical School, Truro, Cornwall TR1 3HD, UK)

  • Ceri Whitmore

    (European Centre for Environment and Human Health, University of Exeter Medical School, Truro, Cornwall TR1 3HD, UK)

  • Nicola Cocksedge

    (European Centre for Environment and Human Health, University of Exeter Medical School, Truro, Cornwall TR1 3HD, UK)

  • Daniel Bloomfield

    (European Centre for Environment and Human Health, University of Exeter Medical School, Truro, Cornwall TR1 3HD, UK)

Abstract

Linking environmental, socioeconomic and health datasets provides new insights into the potential associations between climate change and human health and wellbeing, and underpins the development of decision support tools that will promote resilience to climate change, and thus enable more effective adaptation. This paper outlines the challenges and opportunities presented by advances in data collection, storage, analysis, and access, particularly focusing on “data mashups”. These data mashups are integrations of different types and sources of data, frequently using open application programming interfaces and data sources, to produce enriched results that were not necessarily the original reason for assembling the raw source data. As an illustration of this potential, this paper describes a recently funded initiative to create such a facility in the UK for use in decision support around climate change and health, and provides examples of suitable sources of data and the purposes to which they can be directed, particularly for policy makers and public health decision makers.

Suggested Citation

  • Lora E. Fleming & Andy Haines & Brian Golding & Anthony Kessel & Anna Cichowska & Clive E. Sabel & Michael H. Depledge & Christophe Sarran & Nicholas J. Osborne & Ceri Whitmore & Nicola Cocksedge & Da, 2014. "Data Mashups: Potential Contribution to Decision Support on Climate Change and Health," IJERPH, MDPI, vol. 11(2), pages 1-22, February.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:2:p:1725-1746:d:32711
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    References listed on IDEAS

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    3. Martin L. Weitzman, 2009. "On Modeling and Interpreting the Economics of Catastrophic Climate Change," The Review of Economics and Statistics, MIT Press, vol. 91(1), pages 1-19, February.
    4. Ashlee Cunsolo Willox & Sherilee Harper & James Ford & Victoria Edge & Karen Landman & Karen Houle & Sarah Blake & Charlotte Wolfrey, 2013. "Climate change and mental health: an exploratory case study from Rigolet, Nunatsiavut, Canada," Climatic Change, Springer, vol. 121(2), pages 255-270, November.
    5. Helm, Carsten & Bruckner, Thomas & Petschel-Held, Gerhard & Toth, Ferenc L. & Füssel, Hans Martin & Leimbach, Marian & Schellnhuber, Hans Joachim, 1999. "Climate Change Decision-Support and the Tolerable Windows Approach," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 33637, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

    1. Jan C. Semenza, 2014. "Climate Change and Human Health," IJERPH, MDPI, vol. 11(7), pages 1-7, July.

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