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Soft Computing for Problem Solving pp 271–283Cite as

Enhancing Public Health Surveillance by Measurement of Similarity Using Rough Sets and GIS

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1048))

Abstract

Public healthcare plans are essential to regions present around the world and deriving optimal strategies to combat the negative effects is one of the tasks involved in the process. Measuring similarity between two regions based on a common attribute is a popular problem, and this paper aims to find a method for the same, the common attribute being a key statistic taken from public health surveillance records. The method uses the application of rough measurement concept to determine the similarity between different regions having disease-linked death rates, which in turn can effectively be used to derive contingency plans in the case of a relevant event or before the next one takes place. We also take advantage of GIS tools to help in the processing and visualization of spatial data, and this paper discusses the role of GIS in public health surveillance as well.

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Authors and Affiliations

  1. Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India

    Priyansh Jain, Harshal Varday, K. Sharmila Banu & B. K. Tripathy

Authors
  1. Priyansh Jain
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  2. Harshal Varday
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  3. K. Sharmila Banu
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  4. B. K. Tripathy
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Corresponding author

Correspondence to Priyansh Jain .

Editor information

Editors and Affiliations

  1. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Mathematics, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  5. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Ponnambalam Pathipooranam

  6. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Rani Chinnappa Naidu

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Cite this paper

Jain, P., Varday, H., Sharmila Banu, K., Tripathy, B.K. (2020). Enhancing Public Health Surveillance by Measurement of Similarity Using Rough Sets and GIS. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-15-0035-0_21

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