Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Integrating prior epidemiological knowledge embedded within mechanistic models with the
data-mining capabilities of artificial intelligence (AI) offers transformative potential for …
data-mining capabilities of artificial intelligence (AI) offers transformative potential for …
Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models
Measles is an important infectious disease system both for its burden on public health and
as an opportunity for studying nonlinear spatio-temporal disease dynamics. Traditional …
as an opportunity for studying nonlinear spatio-temporal disease dynamics. Traditional …
Modelling of Marburg virus transmission dynamics: a deep learning-driven approach with the effect of quarantine and health awareness interventions
Marburg virus has emerged as a significant public health risk due to the high fatality rate in
human and non-human populations. In recent years, there has been a rise in Marburg virus …
human and non-human populations. In recent years, there has been a rise in Marburg virus …
A Physics-Informed Neural Network approach for compartmental epidemiological models
Compartmental models provide simple and efficient tools to analyze the relevant
transmission processes during an outbreak, to produce short-term forecasts or transmission …
transmission processes during an outbreak, to produce short-term forecasts or transmission …
Leveraging dynamics informed neural networks for predictive modeling of COVID-19 spread: a hybrid SEIRV-DNNs approach
C Cheng, E Aruchunan, MH Noor Aziz - Scientific Reports, 2025 - nature.com
A dynamics informed neural networks (DINNs) incorporating the susceptible-exposed-
infectious-recovered-vaccinated (SEIRV) model was developed to enhance the …
infectious-recovered-vaccinated (SEIRV) model was developed to enhance the …
Extinction and persistence of lumpy skin disease: a deep learning framework for parameter estimation and model simulation
Abstract Lumpy Skin Disease (LSD) of cattle, an infectious and fatal viral ailment, poses a
significant challenge to the farming sector due to its economic impact. A deterministic …
significant challenge to the farming sector due to its economic impact. A deterministic …
A framework based on physics-informed graph neural ODE: for continuous spatial-temporal pandemic prediction
H Cheng, Y Mao, X Jia - Applied Intelligence, 2024 - Springer
Physics-informed spatial-temporal discrete sequence learning networks have great potential
in solving partial differential equations and time series prediction compared to traditional …
in solving partial differential equations and time series prediction compared to traditional …
Spatial Interaction Analysis of Infectious Disease Import and Export between Regions
Human travel plays a crucial role in the spread of infectious disease between regions. Travel
of infected individuals from one region to another can transport a virus to places that were …
of infected individuals from one region to another can transport a virus to places that were …
Toward a physics-guided machine learning approach for predicting chaotic systems dynamics
Predicting the dynamics of chaotic systems is crucial across various practical domains,
including the control of infectious diseases and responses to extreme weather events. Such …
including the control of infectious diseases and responses to extreme weather events. Such …
[PDF][PDF] Exploring COVID-19 model with general fractional deriva-tives: novel physics-informed-neural-networks approach for dynamics and order estimation
H Aghdaouia, A Raezahb, M Tiliouaa… - J. Math. Computer …, 2025 - researchgate.net
In this paper, a fractional coronavirus disease model including unreported cases is
suggested. The considered model includes a general fractional derivative incorporating well …
suggested. The considered model includes a general fractional derivative incorporating well …