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Detection of Liaison Between Health Outcome and Web Search

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Information and Communication Technology for Sustainable Development

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 933))

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Abstract

Today Internet search has become a ubiquitous platform where people can assess their self-diagnosis of their health-related issues. Google Trends facilitates researchers to get this information related to their search behaviors toward health-related phenomena. These search-related topics and queries help to common people become a self-dependent which seems to be difficult to consult with their family, friends, or even a medical professional. Here we examined how the Google Trends search utility impacted to the leading cause of death in the USA. It is reported that around 75% of total all deaths in the USA are due to ten leading cause of death. We analyze search interest data using Google Trends API, and it is clearly shown that people are too aware on cancer-related issues followed by stroke and diabetes, where 22.5, 5.1, and 2.9 % of total deaths caused due to these respective diseases. This research analysis is demonstrated to understand how Google Trends data deeply reflected with the causes of death of millions of Americans.

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Author information

Authors and Affiliations

  1. University of Kalyani, Kalyani, West Bengal, India

    Sandip Roy

  2. Wake Forest Baptist Medical Center, Winston-Salem, NC, USA

    Amit Saha

Authors
  1. Sandip Roy
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  2. Amit Saha
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Corresponding author

Correspondence to Sandip Roy .

Editor information

Editors and Affiliations

  1. Singidunum University, Belgrade, Serbia

    Milan Tuba

  2. Department of Electronics and Communication Engineering, ITM University, Gwalior, Madhya Pradesh, India

    Shyam Akashe

  3. Sabar Institute of Technology, Gujarat Technological University, Ahmedabad, Gujarat, India

    Amit Joshi

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Roy, S., Saha, A. (2020). Detection of Liaison Between Health Outcome and Web Search. In: Tuba, M., Akashe, S., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Advances in Intelligent Systems and Computing, vol 933. Springer, Singapore. https://doi.org/10.1007/978-981-13-7166-0_38

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