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

  • 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 http://apjhs.com/index.php/apjhs/article/view/1120