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Advances and New Trends in Environmental Informatics pp 89–101Cite as

Collection and Integration of Multi-spatial and Multi-type Data for Vulnerability Analysis in Emergency Response Plans

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Part of the book series: Progress in IS ((PROIS))

Abstract

Public health emergencies, whether natural or manmade, require a timely and well planned response from the local health authorities to mitigate the economic and human loss. Creation of well-defined service areas with Points of Dispensing (POD) facilities for providing medical or other care to the population within these areas is a widely accepted approach. However, not every individual may have equal access to the POD or the resources available at the POD due to various social, behavioral, cultural, and economic or health disparities. Therefore, a realistic and working response plan must provide ways to address these access disparities associated with each POD. The creation of such a response plan is a data intensive problem and requires demographic, spatial, transportation and resource data at different geographic levels. This paper demonstrates the collection of these data from disparate sources and their integration to analyze vulnerabilities in emergency response plans. The variety and volume of the required data and the manipulation process faced challenges of big data.

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Author information

Authors and Affiliations

  1. Center for Computational Epidemiology and Response Analysis (CeCERA), University Of North Texas, Denton, TX, 76203–0250, USA

    Harsha Gwalani, Armin R. Mikler, Suhasini Ramisetty-Mikler & Martin O’Neill

Authors
  1. Harsha Gwalani
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  2. Armin R. Mikler
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  3. Suhasini Ramisetty-Mikler
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  4. Martin O’Neill
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Corresponding author

Correspondence to Harsha Gwalani .

Editor information

Editors and Affiliations

  1. HTW Berlin, University of Applied Sciences, Berlin, Germany

    Volker Wohlgemuth

  2. HTW Berlin, University of Applied Sciences , Berlin, Germany

    Frank Fuchs-Kittowski

  3. HTW Berlin, University of Applied Sciences , Berlin, Germany

    Jochen Wittmann

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© 2017 Springer International Publishing Switzerland

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Gwalani, H., Mikler, A.R., Ramisetty-Mikler, S., O’Neill, M. (2017). Collection and Integration of Multi-spatial and Multi-type Data for Vulnerability Analysis in Emergency Response Plans. In: Wohlgemuth, V., Fuchs-Kittowski, F., Wittmann, J. (eds) Advances and New Trends in Environmental Informatics. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-319-44711-7_8

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