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Data Science Approaches to Public Health: Case Studies Using Routine Health Data from India

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Data Management, Analytics and Innovation (ICDMAI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 662))

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Abstract

The promise of data science for social good has not yet percolated to public health, where the need is most, but lacks priority. The lack of data use policy or culture in Indian health information systems could be one of the reasons for this. Learning from global experiences on how routine health data has been used might benefit us as a newcomer in the field of digital health. The current study aims to demonstrate the potential of data science in transforming publicly available routine health data from India into evidence for public health decision-making. Four case studies were conducted using the expanded data sources to integrate data and link various sources of information. Implementing these data science projects required developing robust algorithms using reproducible research principles to maximize efficiency. They also led to new and incremental challenges that needed to be addressed in novel ways. The paper successfully demonstrates that data science has immense potential for applications in public health. Additionally, data science approach to public health can ensure transparency and efficiency while also addressing systemic and social issues such as data quality and health equity.

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Author information

Authors and Affiliations

  1. Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India

    Arun Mitra, Biju Soman & Rakhal Gaitonde

  2. National Institute of Epidemiology, Chennai, India

    Tarun Bhatnagar

  3. University of Koblenz and Landau, Landau, Germany

    Engelbert Nieuhas

  4. University of Kerala, Trivandrum, Kerala, India

    Sajin Kumar

Authors
  1. Arun Mitra
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  2. Biju Soman
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  3. Rakhal Gaitonde
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  4. Tarun Bhatnagar
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  5. Engelbert Nieuhas
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  6. Sajin Kumar
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Corresponding author

Correspondence to Biju Soman .

Editor information

Editors and Affiliations

  1. Tata Consultancy Services Ltd., Pune, India

    Neha Sharma

  2. Society for Data Science, Pune, India

    Amol Goje

  3. Faculty of Engineering, A. K. Choudhury School of Information Technology, Kolkata, West Bengal, India

    Amlan Chakrabarti

  4. Faculty of Computer Science, Technion—Israel Institute of Technology, Haifa, Israel

    Alfred M. Bruckstein

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Mitra, A., Soman, B., Gaitonde, R., Bhatnagar, T., Nieuhas, E., Kumar, S. (2023). Data Science Approaches to Public Health: Case Studies Using Routine Health Data from India. In: Sharma, N., Goje, A., Chakrabarti, A., Bruckstein, A.M. (eds) Data Management, Analytics and Innovation. ICDMAI 2023. Lecture Notes in Networks and Systems, vol 662. Springer, Singapore. https://doi.org/10.1007/978-981-99-1414-2_63

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