Enhancing COVID-19 Epidemic Forecasting Accuracy by Combining Real-time and Historical Data From Multiple Internet-Based Sources: Analysis of Social Media Data, Online News Articles, and Search Queries.

Jingwei Li Wei Huang Choon Ling Sia Zhuo Chen Tailai Wu Qingnan Wang

Published in: JMIR public health and surveillance (2022)

Our approach incorporating real-time and historical data from multiple Internet-based sources could improve forecasting accuracy for epidemics of COVID-19 and its variants, which may help improve public health agencies' interventions and resource allocation in mitigating and controlling new waves of COVID-19 or other relevant epidemics.

Keyphrases

social media
coronavirus disease
health information
sars cov
public health
electronic health record
big data
drinking water
physical activity
healthcare
copy number
gene expression
machine learning
dna methylation