GET THE APP

Spatial and Space time Clustering of Diarrhoeal Cases among | 91261

Journal of Research in Medical and Dental Science
eISSN No. 2347-2367 pISSN No. 2347-2545

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Spatial and Space time Clustering of Diarrhoeal Cases among Under-Five Children in Karkala, Karnataka: A Geo-Spatial Analysis

Author(s): Dmello MK, Badiger S*, Kumar S, Kumar N and Dsouza N

Abstract

Globally, India tops by contributing the maximum number of diarrhoeal fatality and accounts for 13% of all deaths/year in children under-five years. Forecasting the path and spread of diarrhoeal disease is critical due to its multi-factorial cause, which needs robust spatial analysis and experiential investigations of communicable disease. Objectives: A retrospective longitudinal study was conducted in Karkala taluk of the Udupi district of Karnataka state, India, to investigate purely spatial, purely temporal, and space-time clusters of diarrhoea among under-five children using a geographic information system (GIS). Methods: The data on diarrhoea among under-five children was collected for three years, i.e. from April 1, 2015, to March 31, 2018, at the district health office. A total of forty-nine village data were obtained and about 3894 under-five childhood diarrhoea were reported during the study period. Results: The analysis of the spatial cluster using SatScan software for three years in the study area identified eight high-risk areas (p ≤ 0.0001), covering twenty-one villages. The most likely spatiotemporal cluster region was located at the northern Karkala, and the most-at-risk period was April 1, 2016, to September 30, 2017 (LLR=114.67 and p-value <0.00001). The analysis of purely temporal cluster showed that one most likely cluster happened in all villages (LLR=73.89, p<0.001) from April 1, 2017, to March 3, 2018. Conclusion: The prevention, control and health promotional activities can be planned using advanced spatial statistical methods. The spatial information will help the program planners to have horizontal and vertical equity.

Share this article

http://sacs17.amberton.edu/