Literature DB >> 18663538

Epidemic models with heterogeneous mixing and treatment.

Fred Brauer1.   

Abstract

We consider a two-group epidemic model with treatment and establish a final size relation that gives the extent of the epidemic. This relation can be established with arbitrary mixing between the groups even though it may not be feasible to determine the reproduction number for the model. If the mixing of the two groups is proportionate, there is an explicit expression for the reproductive number and the final size relation is expressible in terms of the components of the reproduction number. We also extend the results to a two-group influenza model with proportionate mixing. Some numerical simulations suggest that (i) the assumption of no disease deaths is a good approximation if the disease death rate is small and (ii) a one-group model is a close approximation to a two-group model but a two-group model is necessary for comparing targeted treatment strategies.

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Year:  2008        PMID: 18663538     DOI: 10.1007/s11538-008-9326-1

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  11 in total

1.  SIS and SIR Epidemic Models Under Virtual Dispersal.

Authors:  Derdei Bichara; Yun Kang; Carlos Castillo-Chavez; Richard Horan; Charles Perrings
Journal:  Bull Math Biol       Date:  2015-10-21       Impact factor: 1.758

2.  Critical immune and vaccination thresholds for determining multiple influenza epidemic waves.

Authors:  Laura Matrajt; Ira M Longini
Journal:  Epidemics       Date:  2011-12-07       Impact factor: 4.396

3.  Effect of Human Mobility on the Spatial Spread of Airborne Diseases: An Epidemic Model with Indirect Transmission.

Authors:  Jummy F David; Sarafa A Iyaniwura
Journal:  Bull Math Biol       Date:  2022-05-04       Impact factor: 3.871

4.  Effectiveness analysis of resistance and tolerance to infection.

Authors:  Johann C Detilleux
Journal:  Genet Sel Evol       Date:  2011-03-01       Impact factor: 4.297

5.  Influence of sociodemographic characteristics on human mobility [corrected].

Authors:  Maxime Lenormand; Thomas Louail; Oliva G Cantú-Ros; Miguel Picornell; Ricardo Herranz; Juan Murillo Arias; Marc Barthelemy; Maxi San Miguel; José J Ramasco
Journal:  Sci Rep       Date:  2015-05-20       Impact factor: 4.379

6.  Metapopulation epidemic models with heterogeneous mixing and travel behaviour.

Authors:  Andrea Apolloni; Chiara Poletto; José J Ramasco; Pablo Jensen; Vittoria Colizza
Journal:  Theor Biol Med Model       Date:  2014-01-13       Impact factor: 2.432

Review 7.  Mathematical epidemiology: Past, present, and future.

Authors:  Fred Brauer
Journal:  Infect Dis Model       Date:  2017-02-04

Review 8.  The role of HIV viral load in mathematical models of HIV transmission and treatment: a review.

Authors:  Tracy Glass; Landon Myer; Maia Lesosky
Journal:  BMJ Glob Health       Date:  2020-01-07

9.  Modeling optimal treatment strategies in a heterogeneous mixing model.

Authors:  Seoyun Choe; Sunmi Lee
Journal:  Theor Biol Med Model       Date:  2015-11-25       Impact factor: 2.432

10.  Commuting in metapopulation epidemic modeling.

Authors:  Azi Lipshtat; Roger Alimi; Yochai Ben-Horin
Journal:  Sci Rep       Date:  2021-07-26       Impact factor: 4.379

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