Collaborative Design of Visual Analytic Techniques for Survey Data for Community-based Research in Public Health
In the proceedings of 8th Workshop of Visual Analytics in Healthcare (VAHC), 2017
Abstract:
Visual analytics is widely adopted in iterative data science/analytic workflows where the human-in-the-loop uses the visualizations to make sense of the data. We are interested in the in-depth analysis of the surveys conducted for studying the effectiveness of public health programs, for which we propose the use of visual analytics. Here, a collaboration between researchers in public health and visualization has led to co-creation of workflows enabling visual analytic techniques for subject-centric raw data from the surveys. We build an appropriate data model which feeds into our proposed visualization techniques. We present a prototype implementation of our tool, SurveyVis, and demonstrate the usage of our tool in analyzing a public health program deployed in India.
To cite: Jaya Sreevalsan-Nair, Shivam Agarwal, Reddy Vangimalla, Sanat Ramesh, Nirmala Murthy, "Collaborative Design of Visual Analytic Techniques for Survey Data for Community-based Research in Public Health" In the proceedings of 8th Workshop of Visual Analytics in Healthcare (VAHC), 2017.
BibTeX:
@inproceedings{Sreevalsan2017Collaborative,
author = {Sreevalsan-Nair, Jaya and Agarwal, Shivam and Vangimalla, Reddy Rani and Ramesh, Sanat and Murthy, Nirmala},
title = {Collaborative Design of Visual Analytic Techniques for Survey Data for Community-based Research in Public Health},
booktitle = {8th Workshop of Visual Analytics in Healthcare (VAHC)},
abstract = {Visual analytics is widely adopted in iterative data science/analytic workflows where the human-in-the-loop uses the visualizations to make sense of the data. We are interested in the in-depth analysis of the surveys conducted for studying the effectiveness of public health programs, for which we propose the use of visual analytics. Here, a collaboration between researchers in public health and visualization has led to co-creation of workflows enabling visual analytic techniques for subject-centric raw data from the surveys. We build an appropriate data model which feeds into our proposed visualization techniques. We present a prototype implementation of our tool, SurveyVis, and demonstrate the usage of our tool in analyzing a public health program deployed in India.},
pages = {1--2},
year = {2017}
}