IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v65y2007i1p7-19.html
   My bibliography  Save this article

Temporal changes in the spatial pattern of disease rates incorporating known risk factors

Author

Listed:
  • Banerjee, Aniruddha

Abstract

Examining the geographical pattern of temporal changes in infant mortality rates illustrates the methodological problems of documenting and understanding temporal changes in any spatial pattern of disease. Early research on geographical differences in infant mortality rates showed strong ecological correlations with socio-economic factors such as poverty rates. More recent research established relationships between individual-level socio-economic values and probabilities of death. With geographic information available at the level of individuals, it is possible to estimate the probabilities of death on a person-by-person basis from knowledge of the relationships between individual factors and socio-economic measures. These estimated probabilities provide an expected geographic pattern of deaths. The difference between the observed spatial pattern and the expected pattern is the remaining spatial variation adjusted for this knowledge. For the study area, individual factors and some socio-economic measures were available for each year of the study period. Using data from the Iowa Birth Defects Registry and the Iowa Department of Public Health (USA), I tested the stability and continuity of these cross-sectional relationships and investigated whether any temporal lags in these variables relate to the unexplained spatial variations in infant mortality rates that remain. I accounted for the 'Change of Support Problem' [Gotway C. A. & Young L. J. (2002). Combining incompatible spatial data. Journal of the American Statistical Association, 97458, 632-648] inherent in frame-based geographical analysis. The analysis involved a generalized linear model (GLM) to estimate individual risks and a Monte Carlo simulation model to generate the non-linear probability density functions for disease rates whose densities are theoretically intractable. Results show the temporal changes in the observed spatial pattern and the expected spatial pattern differ by geographic location. In conclusion such differences are the result of a combination of unexplained place-based risk and unmeasured individual risks.

Suggested Citation

  • Banerjee, Aniruddha, 2007. "Temporal changes in the spatial pattern of disease rates incorporating known risk factors," Social Science & Medicine, Elsevier, vol. 65(1), pages 7-19, July.
    • Handle: RePEc:eee:socmed:v:65:y:2007:i:1:p:7-19
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277-9536(07)00135-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. English, Paul B. & Kharrazi, Martin & Davies, Stephanie & Scalf, Rusty & Waller, Lance & Neutra, Raymond, 2003. "Changes in the spatial pattern of low birth weight in a southern California county: the role of individual and neighborhood level factors," Social Science & Medicine, Elsevier, vol. 56(10), pages 2073-2088, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mazumdar, Soumya & Winter, Alix & Liu, Ka-Yuet & Bearman, Peter, 2013. "Spatial clusters of autism births and diagnoses point to contextual drivers of increased prevalence," Social Science & Medicine, Elsevier, vol. 95(C), pages 87-96.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abdul Manap Pulungan, . "Determinan Neraca Transaksi Berjalan Indonesia," INDEF Working Papers, Institute for Development of Economics and Finance (INDEF), number 032020, January-J.
    2. Messer, Lynne C. & Vinikoor, Lisa C. & Laraia, Barbara A. & Kaufman, Jay S. & Eyster, Janet & Holzman, Claudia & Culhane, Jennifer & Elo, Irma & Burke, Jessica G. & O'Campo, Patricia, 2008. "Socioeconomic domains and associations with preterm birth," Social Science & Medicine, Elsevier, vol. 67(8), pages 1247-1257, October.
    3. Daniel Kim & Adrianna Saada, 2013. "The Social Determinants of Infant Mortality and Birth Outcomes in Western Developed Nations: A Cross-Country Systematic Review," IJERPH, MDPI, vol. 10(6), pages 1-40, June.
    4. Gao, Xing & Thomas, Timothy A. & Morello-Frosch, Rachel & Allen, Amani M. & Snowden, Jonathan M. & Carmichael, Suzan L. & Mujahid, Mahasin S., 2023. "Neighborhood gentrification, displacement, and severe maternal morbidity in California," Social Science & Medicine, Elsevier, vol. 334(C).
    5. Charlene C. Nielsen & Carl G. Amrhein & Alvaro R. Osornio-Vargas, 2019. "Geographical Analysis of the Distribution of Publications Describing Spatial Associations among Outdoor Environmental Variables and Really Small Newborns in the USA and Canada," Challenges, MDPI, vol. 10(1), pages 1-29, January.
    6. Ncube, Collette N. & Enquobahrie, Daniel A. & Albert, Steven M. & Herrick, Amy L. & Burke, Jessica G., 2016. "Association of neighborhood context with offspring risk of preterm birth and low birthweight: A systematic review and meta-analysis of population-based studies," Social Science & Medicine, Elsevier, vol. 153(C), pages 156-164.
    7. Bell, Janice F. & Zimmerman, Frederick J. & Almgren, Gunnar R. & Mayer, Jonathan D. & Huebner, Colleen E., 2006. "Birth outcomes among urban African-American women: A multilevel analysis of the role of racial residential segregation," Social Science & Medicine, Elsevier, vol. 63(12), pages 3030-3045, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:65:y:2007:i:1:p:7-19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.