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)
Bibliographic Data
| ID | 15801132 |
|---|---|
| Authors | Beulah Evelyn Lazarus (University of Madras, corresponding author), S Sanjeevi Prasad (University of Madras, corresponding author), Aishwarya Magesh (University of Madras), V Shyam Sundhar (University of Madras), V N Indhiya Selvan (University of Madras) |
| Year | 2022 |
| Pages | 4374-4384 |
| Publication date | 2022-04-12 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Health Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2550-696X • E-ISSN: 2550-6978 |
| Publisher | Universidad Tecnica de Manabi (PUBLISHER • EC) |
| DOI | 10.53730/ijhs.v6ns1.5823 |
| OpenAlex | W4223441203 |
| Language | EN |
| References cited | 2 |
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
Dengue fever · Environmental health · Geography · Pathology · Population · Spatial distribution · Spatial epidemiology · Veterinary medicine · COVID-19 epidemiological studies · Demography · Medicine · Mosquito-borne diseases and control · Zoonotic diseases and public health · Epidemiology · Virology
| Highly cited | No |
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