[HTML][HTML] Leveraging advances in data-driven deep learning methods for hybrid epidemic modeling
Mathematical modeling of epidemic dynamics is crucial to understand its underlying
mechanisms, quantify important parameters, and make predictions that facilitate more …
mechanisms, quantify important parameters, and make predictions that facilitate more …
A data-driven epidemic model with human mobility and vaccination protection for COVID-19 prediction
R Li, Y Song, H Qu, M Li, GP Jiang - Journal of Biomedical Informatics, 2024 - Elsevier
Epidemiological models allow for quantifying the dynamic characteristics of large-scale
outbreaks. However, capturing detailed and accurate epidemiological information often …
outbreaks. However, capturing detailed and accurate epidemiological information often …
Exploring feasibility of multivariate deep learning models in predicting COVID-19 epidemic
Background: Mathematical models are powerful tools to study COVID-19. However, one
fundamental challenge in current modeling approaches is the lack of accurate and …
fundamental challenge in current modeling approaches is the lack of accurate and …
Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts
Objective: COVID-19 has spread worldwide and made a huge influence across the world.
Modeling the infectious spread situation of COVID-19 is essential to understand the current …
Modeling the infectious spread situation of COVID-19 is essential to understand the current …
[PDF][PDF] Neural-SEIR: A flexible data-driven framework for precise prediction of epidemic disease
Accurately modeling and predicting epidemic diseases is crucial to prevent disease
transmission and reduce mortality. Due to various unpredictable factors, including …
transmission and reduce mortality. Due to various unpredictable factors, including …
Data-driven simulation and optimization for Covid-19 exit strategies
The rapid spread of the Coronavirus SARS-2 is a major challenge that led almost all
governments worldwide to take drastic measures to respond to the tragedy. Chief among …
governments worldwide to take drastic measures to respond to the tragedy. Chief among …
DDE: Deep Dynamic Epidemiological Modeling for Infectious Illness Development Forecasting in Multi-level Geographic Entities
Understanding and addressing the dynamics of infectious diseases, such as coronavirus
disease 2019, are essential for effectively managing the current situation and developing …
disease 2019, are essential for effectively managing the current situation and developing …
COVID-19 modeling: A review
L Cao, Q Liu - medRxiv, 2022 - medrxiv.org
The unprecedented and overwhelming SARS-CoV-2 virus and COVID-19 disease
significantly challenged our way of life, society and the economy. Many questions emerge, a …
significantly challenged our way of life, society and the economy. Many questions emerge, a …
Epidemic Forecasting with a Data-Centric Lens
The recent COVID-19 pandemic has reinforced the importance of epidemic forecasting to
equip decision makers in multiple domains, ranging from public health to economics …
equip decision makers in multiple domains, ranging from public health to economics …
Data-centric epidemic forecasting: A survey
The COVID-19 pandemic has brought forth the importance of epidemic forecasting for
decision makers in multiple domains, ranging from public health to the economy as a whole …
decision makers in multiple domains, ranging from public health to the economy as a whole …