Modeling epidemics on adaptively evolving networks: A data-mining perspective-Reference-Cited by-同舟云学术

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Modeling epidemics on adaptively evolving networks: A data-mining perspective

Published:2016-01-13 Issue:2 Volume:7 Page:153-162
ISSN:2150-5594
Container-title:Virulence
language:en
Short-container-title:Virulence

Author:

Kattis Assimakis A¹,Holiday Alexander¹,Stoica Ana-Andreea²,Kevrekidis Ioannis G¹³⁴

Affiliation:

1. Department of Chemical and Biological Engineering; Princeton University; Princeton, NJ USA

2. Department of Mathematics; Princeton University; Princeton, NJ USA

3. Program in Applied & Computational Mathematics; Princeton University; Princeton, NJ USA

4. Institute for Advanced Study; Technische Universität München; Garching, Germany

Publisher

Informa UK Limited

Subject

Infectious Diseases,Microbiology (medical),Immunology,Microbiology,Parasitology

Link

https://www.tandfonline.com/doi/pdf/10.1080/21505594.2015.1121357

Reference25 articles.

1. Epidemic Dynamics on an Adaptive Network

2. Epidemic processes in complex networks

3. Adaptive Contact Networks Change Effective Disease Infectiousness and Dynamics

4. Epidemic reemergence in adaptive complex networks

5. The Modeling of Global Epidemics: Stochastic Dynamics and Predictability

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1. Tipping points of evolving epidemiological networks: Machine learning-assisted, data-driven effective modeling;Chaos: An Interdisciplinary Journal of Nonlinear Science;2024-06-01

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3. High-Dimensional Contact Network Epidemiology;Epidemiologia;2023-07-07

4. Nonlinear dynamic epidemiological analysis of effects of vaccination and dynamic transmission on COVID-19;Nonlinear Dynamics;2022-12-05

5. On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non)identifiability;PNAS Nexus;2022-09-01

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