Research map: Stage-aware deep learning with adversarial data synthesis enables prospective season-scale A/H1N1 influenza forecasting in China

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  1. Impact of COVID-19 outbreaks and interventions on influenza in China and the United States · Luzhao Feng · 2021 · 307 citations · Cited by this paper
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  26. A semi-parametric, state-space compartmental model with time-dependent parameters for forecasting COVID-19 cases, hospitalizations and deaths · Eamon B. O’Dea · 2022 · 15 citations · Cited by this paper
  27. Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation · Américo Cunha · 2023 · 15 citations · Cited by this paper
  28. Scientific and targeted prevention and control measures to optimize COVID‐19 response · Released by the Taskforce for Joint Prevention and Control Mechanism for COVID-19 under the State Council and the National Health Commission of P.R. China on November 11, 2022 · 2023 · 14 citations · Cited by this paper
  29. ChatGPT-Assisted Deep Learning Models for Influenza-Like Illness Prediction in Mainland China: Time Series Analysis · Weihong Huang · 2025 · 11 citations · Cited by this paper
  30. Long-Term Regional Influenza-Like-Illness Forecasting Using Exogenous Data · Eirini Papagiannopoulou · 2024 · 9 citations · Cited by this paper
  31. Predicting influenza-like illness trends based on sentinel surveillance data in China from 2011 to 2019: A modelling and comparative study1 · Xingxing Zhang · 2024 · 7 citations · Cited by this paper
  32. MIFlu: Large Language Model-Based Multimodal Influenza Forecasting Scheme · Jaeuk Moon · 2025 · 6 citations · Cited by this paper
  33. Exploring the interaction of influenza A subtypes H1N1 and H3N2 based on an evolution-driven transmission model · Gang Wang · 2022 · 4 citations · Cited by this paper
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