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Building an interdisciplinary framework to advance conceptual and technical aspects of population-environment research focused on women's and children's health

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  • Grace, Kathryn
  • Billingsley, Sunnee
  • Van Riper, David

Abstract

Great gains have been made in providing researchers geo-spatial data that can be combined with population health data. This development is crucial given concerns over the human health outcomes associated with a changing climate. Merging population and environmental data remains both conceptually and technically challenging because of a large range of temporal and spatial scales. Here we propose a framework that addresses and advances both conceptual and technical aspects of population-environment research. This framework can be useful for considering how any time or space-based environmental occurrence influences population health outcomes and can be used to guide different data aggregation strategies. The primary consideration discussed here is how to properly model the space and time effects of environmental context on individual-level health outcomes, specifically maternal, child and reproductive health outcomes. The influx of geospatial health data and highly detailed environmental data, often at daily scales, provide an opportunity for population-environment researchers to move towards a more theoretically and analytically sound approach for studying environment and health linkages.

Suggested Citation

  • Grace, Kathryn & Billingsley, Sunnee & Van Riper, David, 2020. "Building an interdisciplinary framework to advance conceptual and technical aspects of population-environment research focused on women's and children's health," Social Science & Medicine, Elsevier, vol. 250(C).
    • Handle: RePEc:eee:socmed:v:250:y:2020:i:c:s0277953620300769
    DOI: 10.1016/j.socscimed.2020.112857
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    References listed on IDEAS

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    1. Connor Y. H. Wu & Benjamin F. Zaitchik & Samarth Swarup & Julia M. Gohlke, 2019. "Influence of the Spatial Resolution of the Exposure Estimate in Determining the Association between Heat Waves and Adverse Health Outcomes," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 109(3), pages 875-886, May.
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    3. Kathryn Grace, 2017. "Considering climate in studies of fertility and reproductive health in poor countries," Nature Climate Change, Nature, vol. 7(7), pages 479-485, July.
    4. Kathryn Grace & Nicholas N. Nagle & Clara R. Burgert‐Brucker & Shelby Rutzick & David C. Van Riper & Trinadh Dontamsetti & Trevor Croft, 2019. "Integrating Environmental Context into DHS Analysis While Protecting Participant Confidentiality: A New Remote Sensing Method," Population and Development Review, The Population Council, Inc., vol. 45(1), pages 197-218, March.
    5. Johannes Huinink & Martin Kohli, 2014. "A life-course approach to fertility," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(45), pages 1293-1326.
    6. Kathryn Grace & Nicholas N. Nagle & Greg Husak, 2016. "Can Small-Scale Agricultural Production Improve Children's Health? Examining Stunting Vulnerability among Very Young Children in Mali, West Africa," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(3), pages 722-737, May.
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    8. Balk, Deborah & Storeygard, Adam & Levy, Marc & Gaskell, Joanne & Sharma, Manohar & Flor, Rafael, 2005. "Child hunger in the developing world: An analysis of environmental and social correlates," Food Policy, Elsevier, vol. 30(5-6), pages 584-611.
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    Cited by:

    1. Alvarez, Camila H. & Evans, Clare Rosenfeld, 2021. "Intersectional environmental justice and population health inequalities: A novel approach," Social Science & Medicine, Elsevier, vol. 269(C).

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