Fine-Grained Forecasting of COVID-19 Trends at the County Level in the United States.

ABSTRACT: The coronavirus (COVID-19) pandemic has profoundly impacted various aspects of daily life, society, healthcare systems, and global health policies. This pandemic has resulted in more than one hundred million people being infected and, unfortunately, the loss of life for many individuals. Although treatment for the coronavirus is now available, effective forecasting of COVID-19 infection is the most importance to aid public health officials in making critical decisions. However, forecasting COVID-19 trends through time-series analysis poses significant challenges due to the data's inherently dynamic, transient, and noise-prone nature. In this study, we have developed the Fine-Grained Infection Forecast Network (FIGI-Net) model, which provides accurate forecasts of COVID-19 trends up to two

SUBMITTER: Song TH 

PROVIDER: S-EPMC10827234 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature