[HTML][HTML] Prediction of measles cases in US counties: A machine learning approach

SA Kujawski, B Ru, NL Afanador, JH Conway… - Vaccine, 2024 - Elsevier
Background. Although measles was declared eliminated from the United States in 2000, the
frequency of measles outbreaks has increased in recent years. The ability to predict the …

Informing policy via dynamic models: Cholera in Haiti

J Wheeler, AE Rosengart, Z Jiang, K Tan… - PLOS Computational …, 2024 - journals.plos.org
Public health decisions must be made about when and how to implement interventions to
control an infectious disease epidemic. These decisions should be informed by data on the …

Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models

WG Madden, W Jin, B Lopman, A Zufle… - PLOS Computational …, 2024 - journals.plos.org
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 …

Neural networks for endemic measles dynamics: comparative analysis and integration with mechanistic models

W Madden, W Jin, B Lopman, A Zufle, BD Dalziel… - medRxiv, 2024 - medrxiv.org
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 …

[PDF][PDF] Mathematical Analysis and Simulation of Measles Infection Spread with SEIRV+ D Model

M Kukuseva, N Stojkovic… - ICT Innovations …, 2024 - eprints.ugd.edu.mk
Measles is a highly contagious infectious disease caused by a virus in the paramyxovirus
family. Mathematical models for epidemics are useful tools for understanding and predicting …

[PDF][PDF] Mathematical Analysis and Simulation of Measles Infection Spread with SEIRV+ D Model

MK Paneva, N Stojkovikj, CM Bande, LK Lazarova - proceedings.ictinnovations.org
Measles is a highly contagious infectious disease caused by a virus in the paramyxovirus
family. Mathematical models for epidemics are useful tools for understanding and predicting …