Published on in Vol 9 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/42446, first published
.
![Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19 Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19](https://asset.jmir.pub/assets/c2a4dfd48c1d163135d67c88a14112cd.png 480w,https://asset.jmir.pub/assets/c2a4dfd48c1d163135d67c88a14112cd.png 960w,https://asset.jmir.pub/assets/c2a4dfd48c1d163135d67c88a14112cd.png 1920w,https://asset.jmir.pub/assets/c2a4dfd48c1d163135d67c88a14112cd.png 2500w)
Journals
- Shih D, Wu Y, Wu T, Chang S, Shih M. Infodemiology of Influenza-like Illness: Utilizing Google Trends’ Big Data for Epidemic Surveillance. Journal of Clinical Medicine 2024;13(7):1946 View
- Asai M, Chu A, So M. Dynamic Network Poisson Autoregression with Application to COVID-19 Count Data. Journal of Data Science 2024:1 View