Data-Driven Forecasting of Acute and Chronic Hepatitis B in Ukraine with Recurrent Neural Networks

Data-Driven Forecasting of Acute and Chronic Hepatitis B in Ukraine with Recurrent Neural Networks

Reliable short-term forecasts of hepatitis B incidence are indispensable for sizing national vaccine and antiviral procurement. However, predictive modelling is complicated when surveillance streams experience reporting delays and episodic under-reporting, as has occurred in Ukraine since 2022. We a...

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Bibliographic Details
Main Authors: Mykola Butkevych, Sergiy Yakovlev, Dmytro Chumachenko
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
hepatitis B
machine learning
deep learning
forecasting
LSTM
epidemic model
Online Access:https://www.mdpi.com/2076-3417/15/13/7573
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