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Exploring the Effect of Misinformation on Infectious Disease Transmission
Vaccines are one of the safest medical interventions in history and can protect against infectious diseases and ensure important health benefits. Despite these advantages, health professionals and policymakers face significant challenges in terms of ...
Nabeela Mumtaz +2 more
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A mathematical model of infectious disease transmission [PDF]
In this paper we consider a three-dimensional nonlinear system which models the dynamics of a population during an epidemic disease. The considered model is a SIS-type system in which a recovered individual automatically becomes a susceptible one.
Florea Aurelia, Lăzureanu Cristian
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The true number of infections from SARS-Cov-2 is unknown and believed to exceed the reported numbers by several fold. National testing policies, in particular, can strongly affect the proportion of undetected cases.
Maureen Rebecca Smith +5 more
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Editorial: Infectious Disease Epidemiology and Transmission Dynamics
Infectious diseases, such as COVID-19 [...]
Zhanwei Du +3 more
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The Universal Theory for Multiscale Modelling of Infectious Disease Dynamics
The replication-transmission relativity theory, currently used to inform the development of multiscale models of infectious disease dynamics, needs a revision and extension to accommodate new basic science and clinical information about infectious ...
Winston Garira, Kizito Muzhinji
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The transmission mechanism theory of disease dynamics: Its aims, assumptions and limitations
Most of the progress in the development of single scale mathematical and computational models for the study of infectious disease dynamics which now span over a century is build on a body of knowledge that has been developed to address particular single ...
Winston Garira, Bothwell Maregere
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Tooling-up for infectious disease transmission modelling
In this introduction to the Special Issue on methods for modelling of infectious disease epidemiology we provide a commentary and overview of the field.
Marc Baguelin +6 more
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Pathogen.jl: Infectious Disease Transmission Network Modeling with Julia
We introduce Pathogen.jl for simulation and inference of transmission network individual level models (TN-ILMs) of infectious disease spread in continuous time. TN-ILMs can be used to jointly infer transmission networks, event times, and model parameters
Justin Angevaare, Zeny Feng, Rob Deardon
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Modelling infectious diseases with herd immunity in a randomly mixed population
The conventional susceptible-infectious-recovered (SIR) model tends to magnify the transmission dynamics of infectious diseases, and thus the estimated total infections and immunized population may be higher than the threshold required for infection ...
Kian Boon Law +3 more
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Revealing mechanisms of infectious disease spread through empirical contact networks.
The spread of pathogens fundamentally depends on the underlying contacts between individuals. Modeling the dynamics of infectious disease spread through contact networks, however, can be challenging due to limited knowledge of how an infectious disease ...
Pratha Sah +4 more
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