03.09.2026journal-article
Frontiers in Public Health
Fusing meteorological factors and baidu search index with an adapted deformtime model to predict influenza-like illness in Beijing
Background Influenza-like illness (ILI) poses a significant burden on public health systems, particularly in densely populated megacities. Accurate and timely forecasting is crucial for early warning and resource allocation. While deep learning models have shown promise, capturing the complex, non-linear coupling between environmental drivers and human behavior remains a challenge. Methods We used weekly ILI% surveillance data from Beijing (2010–2019), complemented by 20 meteorological variables and 322 Baidu Searc …