Public Health Data Science: Main Concepts and Case Study for Public Health Professionals in India

Authors

  • G. V. Fant Visiting Professor, Public Health (Epidemiology and Biostatistics), Jodhpur School of Public Health, Rajasthan, India
  • A. Purohit Founder and President/CEO, Jodhpur School of Public Health, Jodhpur, Rajasthan, India

Keywords:

Cross-industry standard process for data mining, Data modeling, Data science, Domains of public health data science, KNIME analytics platform, Public health

Abstract

There is growing use of big data and public health data sources in many areas of public health need. Data science is an interdisciplinary field that may have great utility in public health and epidemiology in the search for solutions to many public health needs or problems. Real-world, big data that are continually being collected permit the use of data science methods to address public health problems. This review describes essential concepts in data science from a public health perspective. A case study that utilizes data science thinking is offered to illustrate the application of public health data science for public health professionals in India and the South-East Asia Region.

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Published

2020-11-11

How to Cite

Fant, G. V., & Purohit, A. (2020). Public Health Data Science: Main Concepts and Case Study for Public Health Professionals in India. Asian Pacific Journal of Health Sciences, 7(4), 70–76. Retrieved from https://apjhs.com/index.php/apjhs/article/view/1120

Issue

Vol. 7 No. 4 (2020): Vol 7 | Issue 4 | October - December 2020

Section

Articles

License

Asian Pacific Journal of Health Sciences applies the Creative Commons Attribution (CC-BY) license to published articles. Under this license, authors retain ownership of the copyright for their content, but they allow anyone to download, reuse, reprint, modify, distribute and/or copy the content as long as the original authors and source are cited. Appropriate attribution can be provided by simply citing the original article.