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A beta-Poisson model for infectious disease transmission. [PDF]

open access: yesPLoS Computational Biology, 2023
Outbreaks of emerging and zoonotic infections represent a substantial threat to human health and well-being. These outbreaks tend to be characterised by highly stochastic transmission dynamics with intense variation in transmission potential between ...
Joe Hilton, Ian Hall
doaj   +7 more sources

Tooling-up for infectious disease transmission modelling [PDF]

open access: yesEpidemics, 2020
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
doaj   +5 more sources

Editorial: Infectious Disease Epidemiology and Transmission Dynamics

open access: yesViruses, 2023
Infectious diseases, such as COVID-19 [...]
Zhanwei Du   +3 more
doaj   +4 more sources

Multi-Scale Airborne Infectious Disease Transmission. [PDF]

open access: yesAppl Environ Microbiol, 2021
Airborne disease transmission is central to many scientific disciplines, including agriculture, veterinary biosafety, medicine, and public health. Legal and regulatory standards are in place to prevent agricultural, nosocomial, and community airborne disease transmission.
Dillon CF, Dillon MB.
europepmc   +4 more sources

Mathematical models of infectious disease transmission [PDF]

open access: yesNature Reviews Microbiology, 2008
Mathematical analysis and modelling is central to infectious disease epidemiology. Here, we provide an intuitive introduction to the process of disease transmission, how this stochastic process can be represented mathematically and how this mathematical representation can be used to analyse the emergent dynamics of observed epidemics.
Nicholas C Grassly, Christophe Fraser
exaly   +3 more sources

A mathematical model of infectious disease transmission [PDF]

open access: yesITM Web of Conferences, 2020
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
doaj   +2 more sources

Prevention and control of infectious disease transmission in subways: an improved susceptible–exposed–infected–recovered model [PDF]

open access: yesFrontiers in Public Health
IntroductionA well-connected transportation network unites localities but also accelerates the transmission of infectious diseases. Subways—an important aspect of daily travel in big cities—are high-risk sites for the transmission of urban epidemics ...
Fang Zhou   +4 more
doaj   +2 more sources

Pathogen.jl: Infectious Disease Transmission Network Modeling with Julia

open access: yesJournal of Statistical Software, 2022
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
doaj   +4 more sources

Nurses’ Contacts and Potential for Infectious Disease Transmission

open access: yesEmerging Infectious Diseases, 2009
Nurses’ contacts with potentially infectious persons probably place them at higher risk than the general population for infectious diseases. During an influenza pandemic, illness among nurses might result in staff shortage.
Helen Bernard   +4 more
doaj   +5 more sources

Bayesian workflow for time-varying transmission in stratified compartmental infectious disease transmission models. [PDF]

open access: yesPLoS Computational Biology
Compartmental models that describe infectious disease transmission across subpopulations are central for assessing the impact of non-pharmaceutical interventions, behavioral changes and seasonal effects on the spread of respiratory infections. We present
Judith A Bouman   +8 more
doaj   +2 more sources

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