IS in Healthcare
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Paper Type
Short
Paper Number
2552
Description
In recent years, the number of online health information users has been increasing dramatically. This study investigates the effects of keyword search in SNS on COVID-19 fatality. We collected YouTube search data from Google Trends (trends.google.com) and the COVID19 Global Forecasting (week 4) data for each country from kaggle.com. The findings of this study confirm the role of SNS search in predicting the reduction of COVID-19 fatality. By using machine learning and data mining, we identified the conditions under which fatality may grow with more SNS search. Specifically, we found that more SNS search may predict the rise of fatality growth and rate when the infected population grows a large number.
Recommended Citation
Zhan, Ge and Wang, Ruowen, "Does “COVID” Search via Social Networking Sites Cause COVID-19 Fatality Growth?" (2020). ICIS 2020 Proceedings. 20.
https://aisel.aisnet.org/icis2020/is_health/is_health/20
Does “COVID” Search via Social Networking Sites Cause COVID-19 Fatality Growth?
In recent years, the number of online health information users has been increasing dramatically. This study investigates the effects of keyword search in SNS on COVID-19 fatality. We collected YouTube search data from Google Trends (trends.google.com) and the COVID19 Global Forecasting (week 4) data for each country from kaggle.com. The findings of this study confirm the role of SNS search in predicting the reduction of COVID-19 fatality. By using machine learning and data mining, we identified the conditions under which fatality may grow with more SNS search. Specifically, we found that more SNS search may predict the rise of fatality growth and rate when the infected population grows a large number.
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