scholarly journals Assessing parameter identifiability in compartmental dynamic models using a computational approach: application to infectious disease transmission models

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Kimberlyn Roosa ◽  
Gerardo Chowell
Keyword(s):  
Infectious Disease ◽  
Disease Transmission ◽  
Dynamic Models ◽  
Computational Approach ◽  
Infectious Disease Transmission ◽  
Parameter Identifiability ◽  
Transmission Models

scholarly journals Dynamic Models of Infectious Disease Transmission in Prisons and the General Population

2018 ◽  
Vol 40 (1) ◽  
pp. 40-57 ◽  
Author(s):  
Martial L Ndeffo-Mbah ◽  
Vivian S Vigliotti ◽  
Laura A Skrip ◽  
Kate Dolan ◽  
Alison P Galvani
Keyword(s):  
Infectious Disease ◽  
General Population ◽  
Disease Transmission ◽  
Dynamic Models ◽  
Infectious Disease Transmission

scholarly journals The SIR dynamic model of infectious disease transmission and its analogy with chemical kinetics

2020 ◽  
Author(s):  
Cory Simon
Keyword(s):  
Infectious Disease ◽  
Mathematical Model ◽  
Dynamic Model ◽  
Chemical Kinetics ◽  
Disease Transmission ◽  
Dynamic Models ◽  
Catalyst Deactivation ◽  
Batch Reactor ◽  
Mitigation Strategies ◽  
Infectious Disease Transmission

The classic Susceptible-Infectious-Recovered (SIR) mathematical model of the dynamics of infectious disease transmission resembles a dynamic model of a batch reactor carrying out an auto-catalytic reaction with catalyst deactivation. By making this analogy between disease transmission and chemical reactions, chemists and chemical engineers can peer into dynamic models of infectious disease transmission used to forecast epidemics and assess mitigation strategies.

scholarly journals Dose-response relationships for environmentally mediated infectious disease transmission models

2017 ◽  
Vol 13 (4) ◽  
pp. e1005481 ◽  
Author(s):  
Andrew F. Brouwer ◽  
Mark H. Weir ◽  
Marisa C. Eisenberg ◽  
Rafael Meza ◽  
Joseph N. S. Eisenberg
Keyword(s):  
Infectious Disease ◽  
Dose Response ◽  
Disease Transmission ◽  
Infectious Disease Transmission ◽  
Transmission Models

scholarly journals The SIR dynamic model of infectious disease transmission and its analogy with chemical kinetics

2020 ◽  
Author(s):  
Cory Simon
Keyword(s):  
Infectious Disease ◽  
Dynamic Model ◽  
Disease Transmission ◽  
Dynamic Models ◽  
Catalyst Deactivation ◽  
Batch Reactor ◽  
Mitigation Strategies ◽  
Infectious Disease Transmission ◽  
Model Dynamics ◽  
Kinetics Of

<div>The classic Susceptible-Infectious-Recovered (SIR) mathematical model of the dynamics of infectious disease transmission resembles a dynamic model of a batch reactor carrying out an autocatalytic reaction with catalyst deactivation. This analogy between disease transmission and chemical reactions allows chemists and chemical engineers to peer into dynamic models of infectious disease transmission used to forecast epidemics and assess mitigation strategies. Moreover, analysis of SIR model dynamics gives insights into the kinetics of autocatalytic reactions.</div>

scholarly journals The SIR dynamic model of infectious disease transmission and its analogy with chemical kinetics

2020 ◽  
Author(s):  
Cory Simon
Keyword(s):  
Infectious Disease ◽  
Dynamic Model ◽  
Disease Transmission ◽  
Dynamic Models ◽  
Catalyst Deactivation ◽  
Batch Reactor ◽  
Mitigation Strategies ◽  
Sir Epidemic Model ◽  
Infectious Disease Transmission ◽  
Sir Epidemic

<div>Mathematical models of the dynamics of infectious disease transmission are used to forecast epidemics and assess mitigation strategies. We reveal that the classic Susceptible-Infectious-Recovered (SIR) epidemic model resembles a dynamic model of a batch reactor carrying out an autocatalytic reaction with catalyst deactivation. This analogy between disease transmission and chemical reactions allows chemists and chemical engineers to peer into dynamic models of infectious disease transmission and gives insights into the kinetics of autocatalytic reactions.</div>

scholarly journals Integrating geostatistical maps and infectious disease transmission models using adaptive multiple importance sampling

2021 ◽  
Vol 15 (4) ◽  
Author(s):  
Renata Retkute ◽  
Panayiota Touloupou ◽  
María-Gloria Basáñez ◽  
T. Déirdre Hollingsworth ◽  
Simon E. F. Spencer
Keyword(s):  
Infectious Disease ◽  
Importance Sampling ◽  
Disease Transmission ◽  
Infectious Disease Transmission ◽  
Multiple Importance Sampling ◽  
Transmission Models
Sign in / Sign up

Export Citation Format

Share Document