Final and peak epidemic sizes for SEIR models with quarantine and isolation

Two $SEIR$ models with quarantine and isolation are considered, inwhich the latent and infectious periods are assumed to have anexponential and gamma distribution, respectively. Previous studieshave suggested (based on numerical observations) that a gammadistribution model (GDM) tends to predict a l...

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Main Author: Z. Feng
Format: Article
Language:English
Published: AIMS Press 2007-07-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2007.4.675
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author Z. Feng
author_facet Z. Feng
author_sort Z. Feng
collection DOAJ
description Two $SEIR$ models with quarantine and isolation are considered, inwhich the latent and infectious periods are assumed to have anexponential and gamma distribution, respectively. Previous studieshave suggested (based on numerical observations) that a gammadistribution model (GDM) tends to predict a larger epidemic peakvalue and shorter duration than an exponential distribution model(EDM). By deriving analytic formulas for the maximum and finalepidemic sizes of the two models, we demonstrate that either GDM orEDM may predict a larger epidemic peak or final epidemic size,depending on control measures. These formulas are helpful not onlyfor understanding how model assumptions may affect the predictions,but also for confirming that it is important to assume realisticdistributions of latent and infectious periods when the model isused for public health policy making.
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spelling doaj-art-fd1ad5aa8e984ee5af433e2ef3c2dc772025-01-24T01:54:07ZengAIMS PressMathematical Biosciences and Engineering1551-00182007-07-014467568610.3934/mbe.2007.4.675Final and peak epidemic sizes for SEIR models with quarantine and isolationZ. Feng0Department of Mathematics, Purdue University, West Lafayette, IN 47907-1395Two $SEIR$ models with quarantine and isolation are considered, inwhich the latent and infectious periods are assumed to have anexponential and gamma distribution, respectively. Previous studieshave suggested (based on numerical observations) that a gammadistribution model (GDM) tends to predict a larger epidemic peakvalue and shorter duration than an exponential distribution model(EDM). By deriving analytic formulas for the maximum and finalepidemic sizes of the two models, we demonstrate that either GDM orEDM may predict a larger epidemic peak or final epidemic size,depending on control measures. These formulas are helpful not onlyfor understanding how model assumptions may affect the predictions,but also for confirming that it is important to assume realisticdistributions of latent and infectious periods when the model isused for public health policy making.https://www.aimspress.com/article/doi/10.3934/mbe.2007.4.675disease control.final epidemic sizepeakepidemic sizeinfectious diseasesmathematical model
spellingShingle Z. Feng
Final and peak epidemic sizes for SEIR models with quarantine and isolation
Mathematical Biosciences and Engineering
disease control.
final epidemic size
peakepidemic size
infectious diseases
mathematical model
title Final and peak epidemic sizes for SEIR models with quarantine and isolation
title_full Final and peak epidemic sizes for SEIR models with quarantine and isolation
title_fullStr Final and peak epidemic sizes for SEIR models with quarantine and isolation
title_full_unstemmed Final and peak epidemic sizes for SEIR models with quarantine and isolation
title_short Final and peak epidemic sizes for SEIR models with quarantine and isolation
title_sort final and peak epidemic sizes for seir models with quarantine and isolation
topic disease control.
final epidemic size
peakepidemic size
infectious diseases
mathematical model
url https://www.aimspress.com/article/doi/10.3934/mbe.2007.4.675
work_keys_str_mv AT zfeng finalandpeakepidemicsizesforseirmodelswithquarantineandisolation