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Authors: Harshitha Ravindra 1 ; 2 and Jaya Sreevalsan-Nair 1 ; 2

Affiliations: 1 E-health Research Center, International Institute of Information Technology Bangalore, Bangalore, India ; 2 Graphics-Visualization-Computing Lab, International Institute of Information Technology Bangalore, Bangalore, India

Keyword(s): Large-scale Surveys, Spatial Analysis, Visualization, Stunting, Wasting, Underweight, Anemia, Micronutrient Deficiency, Immunization, Socioeconomic Factors.

Abstract: Large-scale population surveys are beneficial in gathering information on the performance indicators of public well-being, including health and socio-economic standing. However, conducting national population surveys for low and middle-income countries (LMIC) with high population density becomes challenging. Economizing this activity, multiple surveys with different goals are decentralized and implemented by various agencies. Some of the surveys tend to overlap in outcomes with spatial/temporal or both scopes. Mining data jointly from surveys with significant overlap gives new insights while preserving their autonomy. We propose a three-step workflow for integrating surveys using spatial analytic workflow supported by visualizations. We implement the workflow on a case study using two recent population health surveys in India to study malnutrition in children under five. Our case study focuses on finding hotspots and coldspots for malnutrition, specifically undernutrition, by integra ting both surveys’ outcomes. Malnutrition in children under five is a pertinent global public health problem prevalent in India. Our work shows that such an integrated analysis is beneficial along with preliminary analyses of existing national surveys to find new insights while maintaining their autonomy. (More)

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Paper citation in several formats:
Ravindra, H. and Sreevalsan-Nair, J. (2021). Integrating Population Surveys using Spatial Visual Analytics: A Case Study on Nutrition and Health Indicators of Children under Five in India. In Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-503-6; ISSN 2184-500X, SciTePress, pages 203-213. DOI: 10.5220/0010462102030213

@conference{gistam21,
author={Harshitha Ravindra. and Jaya Sreevalsan{-}Nair.},
title={Integrating Population Surveys using Spatial Visual Analytics: A Case Study on Nutrition and Health Indicators of Children under Five in India},
booktitle={Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2021},
pages={203-213},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010462102030213},
isbn={978-989-758-503-6},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - Integrating Population Surveys using Spatial Visual Analytics: A Case Study on Nutrition and Health Indicators of Children under Five in India
SN - 978-989-758-503-6
IS - 2184-500X
AU - Ravindra, H.
AU - Sreevalsan-Nair, J.
PY - 2021
SP - 203
EP - 213
DO - 10.5220/0010462102030213
PB - SciTePress