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A Study of Dengue Disease Data by GIS in Kolkata City: An Approach to Healthcare Informatics

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Deep Learning and Edge Computing Solutions for High Performance Computing

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Abstract

Recently, dengue has become a worldwide phenomenon and is one of the major public health concerns. There are lots of areas that are affected by dengue in India. West Bengal is one of the states in India which ranks at a higher level among the dengue-affected people in India. Among the various districts of West Bengal, Kolkata occupies the first rank in dengue-affected areas. In this paper, an attempt has been made to find out the spatiotemporal pattern of dengue disease in Kolkata using the geographical information system (GIS) as it is one of the latest approaches in healthcare informatics. The objective of this study is to find out the spatiotemporal pattern and hotspot identification of dengue-affected areas in Kolkata. In this study, analysis has been done using hotspot identification of the dengue-affected areas. This study reveals that spatiotemporal diffusion pattern of the dengue disease in Kolkata city. By the borough level analysis, it has been found that the outbreaks of dengue diseases are mostly concentrated in the central and southern part of Kolkata. This study represents useful information about the dengue-affected areas of Kolkata city. It is also helpful to the health departments of West Bengal and policymakers to make planning strategies to prevent dengue. The methodology used in this dengue study can also be applied to other studies like malaria, influenza, and so on.

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Majumdar, S. (2021). A Study of Dengue Disease Data by GIS in Kolkata City: An Approach to Healthcare Informatics. In: Suresh, A., Paiva, S. (eds) Deep Learning and Edge Computing Solutions for High Performance Computing. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-60265-9_3

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  • DOI: https://doi.org/10.1007/978-3-030-60265-9_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60264-2

  • Online ISBN: 978-3-030-60265-9

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