•연구자: 수학과 심은하
•발표일: 2021.12.22
•DOI: https://www.jmir.org/2021/12/e34178
•Atina Husnayain, Eunha Shim et al., J Med Internet Res(Q1), Volume 23, Issue 12 (2021)
•Abstract
Background:
Given the ongoing coronavirus disease 2019 (COVID-19) pandemic situation, accurate predictions could greatly help in the health resource management for future waves. However, as a new entity, COVID-19’s disease dynamics seemed difficult to predict. External factors, such as internet search data, need to be included in the models to increase the accuracy of these models. However, it remains unclear whether incorporating online search volumes into models leads to better predictive performances for a long-term prediction.