The ratio of hidden HIV infection in Cuba

In this work we propose the definition of the ratio of hidden infection of HIV/AIDS epidemics, as the division of the unknown infected population by the known one. The merit of the definition lies in allowing for an indirect estimation of the whole of the infected population. A dynamical model for t...

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Main Authors: Miguel Atencia, Esther García-Garaluz, Gonzalo Joya
Format: Article
Language:English
Published: AIMS Press 2013-05-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.959
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author Miguel Atencia
Esther García-Garaluz
Gonzalo Joya
author_facet Miguel Atencia
Esther García-Garaluz
Gonzalo Joya
author_sort Miguel Atencia
collection DOAJ
description In this work we propose the definition of the ratio of hidden infection of HIV/AIDS epidemics, as the division of the unknown infected population by the known one. The merit of the definition lies in allowing for an indirect estimation of the whole of the infected population. A dynamical model for the ratio is derived from a previous HIV/AIDS model, which was proposed for the Cuban case, where active search for infected individuals is carried out through a contact tracing program. The stability analysis proves that the model for the ratio possesses a single positive equilibrium, which turns out to be globally asymptotically stable. The sensitivity analysis provides an insight into the relative performance of various methods for detection of infected individuals. An exponential regression has been performed to fit the known infected population, owing to actual epidemiological data of HIV/AIDS epidemics in Cuba. The goodness of the obtained fit provides additional support to the proposed model.
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spelling doaj-art-e4f7273d674a4249a68e4eadf7a5498c2025-01-24T02:26:20ZengAIMS PressMathematical Biosciences and Engineering1551-00182013-05-0110495997710.3934/mbe.2013.10.959The ratio of hidden HIV infection in CubaMiguel Atencia0Esther García-Garaluz1Gonzalo Joya2Dept. of Applied Mathematics, University of Málaga, 29071 MálagaDept. of Applied Mathematics, University of Málaga, 29071 MálagaDept. of Applied Mathematics, University of Málaga, 29071 MálagaIn this work we propose the definition of the ratio of hidden infection of HIV/AIDS epidemics, as the division of the unknown infected population by the known one. The merit of the definition lies in allowing for an indirect estimation of the whole of the infected population. A dynamical model for the ratio is derived from a previous HIV/AIDS model, which was proposed for the Cuban case, where active search for infected individuals is carried out through a contact tracing program. The stability analysis proves that the model for the ratio possesses a single positive equilibrium, which turns out to be globally asymptotically stable. The sensitivity analysis provides an insight into the relative performance of various methods for detection of infected individuals. An exponential regression has been performed to fit the known infected population, owing to actual epidemiological data of HIV/AIDS epidemics in Cuba. The goodness of the obtained fit provides additional support to the proposed model.https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.959dynamical systemssystem identification.hiv/aids epidemiologypopulation dynamicslyapunov stability
spellingShingle Miguel Atencia
Esther García-Garaluz
Gonzalo Joya
The ratio of hidden HIV infection in Cuba
Mathematical Biosciences and Engineering
dynamical systems
system identification.
hiv/aids epidemiology
population dynamics
lyapunov stability
title The ratio of hidden HIV infection in Cuba
title_full The ratio of hidden HIV infection in Cuba
title_fullStr The ratio of hidden HIV infection in Cuba
title_full_unstemmed The ratio of hidden HIV infection in Cuba
title_short The ratio of hidden HIV infection in Cuba
title_sort ratio of hidden hiv infection in cuba
topic dynamical systems
system identification.
hiv/aids epidemiology
population dynamics
lyapunov stability
url https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.959
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