A geo-spatial cluster analysis of dengue vector epidemiology and a quantitative assessment of disease risk vulnerabilities: A case study in Royapuram, Chennai City (2018, 2019)

Beulah Evelyn Lazarus; S. Sanjeevi Prasad; A Magesh; V Shyam Sundhar; V. N Indhiya Selvan

doi:10.53730/ijhs.v6nS1.5823

Authors

Beulah Evelyn Lazarus
beulah.evelyn.lazarus@gmail.com
Ph.D. Researcher with University of Madras
S. Sanjeevi Prasad Assistant. Professor in Geography from University of Madras
Magesh A Ph.D Reseacher with University of Madras
Shyam Sundhar.V University of Madras
Indhiya Selvan.V.N University of Madras

Keywords:

Dengue cluster-analysis, Geo-spatial analysis, Public health, GIS for health, Hotspot Analysis

Abstract

In India, dengue cases are rapidly increasing year by year. This study examined the spatial distribution of dengue through the hotspot analysis in Royapuram, Chennai city, India, during 2018 -2019. This study result indicated that the number of dengue cases infected higher among males than in female’s population and the more infected age group was between (15-64) adult population and most of the dengue cases were recorded in this age groups it based on this classification age group is more in number of populations. Spatial distribution of dengue cases was significantly identified the dengue hotspot in Royapuram, Chennai. Hotspot analysis of Dengue epidemiological incidences helped in identification the core vulnerability areas of disease risks. The study also analyzed the external environmental variables like rainfall and mosquito menace strongly determine the dengue cases in the year of 2018 – 2019. It was found that there was no positive correlation with of environmental variables on dengue cases. In this study were concluded spatial-temporal analysis hotspot and cold spot were detected using the geospatial technology.

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