Need for Interactive Data Visualization in Public Health Practice: Examples from India

K. A. Narayan, M. Siva Durga Prasad Nayak

Abstract


The world is full of data which is increasing by leaps and bounds. In health care, big data is becoming common with increased electronic health data accumulation and/or accessibility to public data previously held under lock and key. At the same time, health data visualization applications have become popular over recent years. Against this background, a review was done to summarize the application of data visualization in public health & the challenges faced. Peer‑reviewed original research articles and review articles searched in Google Scholar and Pubmed databases that were indexed in the last ten years period, using the keywords “Big data” or “data visualization” or “Interactive visualization techniques.” Other related information in books, blogs, and published documents were searched in Google search engine using the same keywords. Contents from the downloaded documents were presented and discussed under three headings viz. (a) the visualizations that are still current and how they have evolved further, (b) tools or methods that can be used by end‑users to make their own modifications, (c) the platforms to disseminate them. Usage of different plots in public health is explained with suitable examples using the data from public health datasets. From the discussion it can be understood that when big data is visualized well, it can identify implementation gaps and disparities and accelerate implementation strategies to reach the population groups in most need for interventions. As health administrator may come from diverse specialties, robust training and career development for big data in public health is the need of the hour.

Keywords


Big data; data display; health information systems; public health informatics; visualization

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References


Harvey C. Top Big Data Challenges. Available from: https://

www.datamation.com/big‑data/big‑data‑challenges.html. [Last

accessed on 2019 Oct 06].

Ristevski B, Chen M. Big data analytics in medicine and

healthcare. J Integr Bioinform 2018;15:20170030. doi: 10.1515/

jib‑2017‑0030.

Beniger JR, Robyn DL. Quantitative graphics in statistics:

A brief history. Am Stat 1978;32:1‑11.

Heiberger R, Symanzik J. A Word from our 2011 Section

Chairs. Statistical Computing Statistical Graphics 2011;22, 1-22.

Available from: https://pdfs.semanticscholar.org/34d5/f2c24233ec

d1d6963d2dda147820825bcd6.pdf?_ga=2.242215042.12841897

1573808515‑1789433939.1555155768.

Adhikari A, John D. John Snow and the Broad Street

Pump. Available from: https://www.inferentialthinking.com/

chapters/02/1/observation-and‑visualization‑john‑snow‑and‑the‑b

road‑street‑pump.html. [Last accessed on 2019 Oct 19].

Koch T, Denike K. Crediting his critics’ concerns: Remaking

John Snow’s map of Broad Street cholera, 1854. Soc Sci Med

;69:1246–51.

Mason B. The Topography of Disease. Scientific American Blog

Network. Available from: https://blogs.scientificamerican.com/

observations/the‑topography‑of‑disease/. [Last accessed on 2019

Oct 19].

Cairo A. Heroes of Visualization: John Snow, H.W. Acland,

and the Mythmaking Problem | | Peachpit. Available from:

http://www.peachpit.com/articles/article.aspx?p=2048358. [Last

accessed on 2019 Oct 19].

Lienhard JH. No. 1712: Nightingale’s Graph. Engines of our

Ingenuity. Available from: https://www.uh.edu/engines/epi1712.

htm. [Last accessed on 2019 Oct 20].

Bärtschi M. Health Data VisualizationA review. DIVA Group

University of Fribourg 2011;4.

Cmsadmin. About Open Government Data (OGD) Platform

India. data.gov.in. Available from: 2013. https://data.gov.in/

about-us [Last accessed on 2019 Oct 20].

History. About Gapminder. Available from: https://www.

gapminder.org/about‑gapminder/history/. [Last accessed on 2019

Oct 21].

Taylor CK. Pie Charts, Histograms, and Other Graphs Used in

Statistics. ThoughtCo. Available from: https://www.thoughtco.

com/frequently‑used‑statistics‑graphs‑4158380. [Last accessed on

Oct 23].

Straker D. The Quality Toolbook: Practical variations on the

Bar Chart. Available from: http://syque.com/http://www.syque.

com/quality_tools/toolbook/Bar/vary.htm. [Last accessed on

Oct 23].

Bertni E, Felix C. Key Concepts and Definitions‑Introduction to

Information Visualization. Coursera. Available from: https://www.

coursera.org/lecture/information‑visualization‑fundamentals/

key‑concepts‑and‑definitions‑kGpnn. [Last accessed on

Oct 23].

Cognitive Artifacts. Available from: https://www.interactiondesign.org/literature/book/the‑glossary-of‑human-computerinteraction/cognitive‑artifacts. [Last accessed on 2019 Dec 31].

Public Health. Available from: http://dhs.kerala.gov.in/index.php/

publichealth.html. [Last accessed on 2019 May 05].

Standard Reports. Available from: https://nrhm‑mis.nic.in/

hmisreports/frmstandard_reports.aspx. [Last accessed on 2020

Jan 04].

Sivanayak/publichealth: Contains public health data sets and

codes used to create different types of analysis. Available from:

https://github.com/Sivanayak/publichealth. [Last accessed on

Jan 04].

Smith A. Why Data Visualization and Dashboards Matter.

Available from: https://blog.dataiku.com/2016/03/10/dashboards_

and_data_viz. [Last accessed on 2020 Jan 01].

Interactive Data Visualization for Public Health Applications:

An Evaluation of Plotly’s Capabilities. B.Next. Available from:

https://www.bnext.org/article/interactive‑data-visualization‑for‑

public‑health‑applications-an‑evaluation‑of‑plotlys‑capabilities/.

[Last accessed on 2019 Sep 29].

Healthcare M. How Data Visualization is Helping in Healthcare

Decision Making? MarksMan Healthcare Communications.

Available from: https://marksmanhealthcare.com/data-visu

alization‑helping‑healthcare‑decision‑making/. [Last accessed on

Oct 10].

Fast, Larissa, Waugaman A. Fighting Ebola With Information

Learning from the Use of Data, Information, and Digital

Technologies in the West Africa Ebola Outbreak Response.

Harris D. A Guide to Free and Open Source Data Visualization

Tools. Software Advice. 2019. Available from: https://

www.softwareadvice.com/resources/free‑open-sourcedata‑visualization‑tools/. [Last accessed on 2019 Oct 26].

Government of India, A digital India Initiative. Visualization

Engine v3.0. Visualization Engine v3.0, An initiative of Data.

gov.in, Open Government Data (OGD) platform of India.

Available from: https://visualize.data.gov.in/. [Last accessed on

Oct 27].

Ben S, Catherine P, Bradford W. H. Improving Healthcare with

Interactive Visualization‑IEEE Journals & Magazine. IEEE

Xplore Digital Library 2013;46:58–66.

Shneiderman2013Improving.pdf. Available from: https://www.

cs.umd.edu/~ben/papers/Shneiderman2013Improving.pdf. [Last

accessed on2019 Oct 19].

Fokkert MJ, van Dijk PR, Edens MA, Abbes S, de Jong D,

Slingerland RJ, et al. Performance of the FreeStyle Libre Flash

glucose monitoring system in patients with type 1 and 2 diabetes

mellitus. BMJ Open Diab Res Care 2017;5:e000320.

Nutley T, Reynolds HW. Improving the use of health data for

health system strengthening. Glob Health Action 2013;6:20001.

doi: 10.3402/gha.v6i0.20001.

NRHM‑HMIS. NRHM‑HMIS. Available from: https://nrhm‑mis.

nic.in/SitePages/Home.aspx. [Last accessed on 2019 Nov 11].

National Health Policy 2017. Ministery of Health and Family

welfare, Government of India. Available from: https://mohfw.

gov.in/sites/default/files/9147562941489753121.pdf.

Tang L, Bie B, Zhi D. Tweeting about measles during stages

of an outbreak: A semantic network approach to the framing

of an emerging infectious disease. Am J Infect Control

;46:1375–80.

Henke N, Bughin J, Chui M. The age of analytics: Competing

in a data‑driven world. Mckinsey Global Institute 2016.

Available from: https://www.mckinsey.com/~/media/McKinsey/ Business%20Functions/McKinsey%20Analytics/Our%20Insights/

The%20age%20of%20analytics%20Competing%20in%20a%20

data%20driven%20world/MGI‑The‑Age‑of‑Analytics‑Full‑report.

ashx. [Last accessed on 2019 Oct 18].

Khoury MJ, Engelgau M, Mensah GA, Chambers DA. Can Big

Data Science Deliver Precision Public Health? | | Blogs | CDC.

Available from: https://blogs.cdc.gov/genomics/2019/07/23/

can‑big‑data‑science/. [Last accessed on2019 Nov 11].