On the duration of the period between exposure to HIV and detectable infection

HIV infection cannot be detected immediately after exposure because plasma viral loads are too small initially. The duration of this phase of infection (the “eclipse period”) is difficult to estimate because precise dates of exposure are rarely known. Therefore, the reliability of clinical HIV testi...

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Main Authors: Bernhard P. Konrad, Darlene Taylor, Jessica M. Conway, Gina S. Ogilvie, Daniel Coombs
Format: Article
Language:English
Published: Elsevier 2017-09-01
Series:Epidemics
Subjects:
HIV
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436517300646
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spelling doaj-fde2db662b5d4d09a904a1417fc9d2a22020-11-24T21:00:25ZengElsevierEpidemics1755-43651878-00672017-09-0120C738310.1016/j.epidem.2017.03.002On the duration of the period between exposure to HIV and detectable infectionBernhard P. Konrad0Darlene Taylor1Jessica M. Conway2Gina S. Ogilvie3Daniel Coombs4Department of Mathematics and Institute of Applied Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2, CanadaBritish Columbia Centre for Disease Control, 655 W 12th Ave., Vancouver, BC V5Z 4R4, CanadaDepartment of Mathematics, The Pennsylvania State University, University Park, PA 16802, USABritish Columbia Centre for Disease Control, 655 W 12th Ave., Vancouver, BC V5Z 4R4, CanadaDepartment of Mathematics and Institute of Applied Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2, CanadaHIV infection cannot be detected immediately after exposure because plasma viral loads are too small initially. The duration of this phase of infection (the “eclipse period”) is difficult to estimate because precise dates of exposure are rarely known. Therefore, the reliability of clinical HIV testing during the first few weeks of infection is unknown, creating anxiety among HIV-exposed individuals and their physicians. We address this by fitting stochastic models of early HIV infection to detailed viral load records for 78 plasma donors, taken during the period of exposure and infection. We first show that the classic stochastic birth-death model does not satisfactorily describe early infection. We therefore apply a different stochastic model that includes infected cells and virions separately. Since every plasma donor in our data eventually becomes infected, we must condition the model to reflect this bias, before fitting to the data. Applying our best estimates of unknown parameter values, we estimate the mean eclipse period to be 8–10 days. We further estimate the reliability of a negative test t days after potential exposure.http://www.sciencedirect.com/science/article/pii/S1755436517300646HIVEclipse periodViral kineticsStochastic modelling
collection DOAJ
language English
format Article
sources DOAJ
author Bernhard P. Konrad
Darlene Taylor
Jessica M. Conway
Gina S. Ogilvie
Daniel Coombs
spellingShingle Bernhard P. Konrad
Darlene Taylor
Jessica M. Conway
Gina S. Ogilvie
Daniel Coombs
On the duration of the period between exposure to HIV and detectable infection
Epidemics
HIV
Eclipse period
Viral kinetics
Stochastic modelling
author_facet Bernhard P. Konrad
Darlene Taylor
Jessica M. Conway
Gina S. Ogilvie
Daniel Coombs
author_sort Bernhard P. Konrad
title On the duration of the period between exposure to HIV and detectable infection
title_short On the duration of the period between exposure to HIV and detectable infection
title_full On the duration of the period between exposure to HIV and detectable infection
title_fullStr On the duration of the period between exposure to HIV and detectable infection
title_full_unstemmed On the duration of the period between exposure to HIV and detectable infection
title_sort on the duration of the period between exposure to hiv and detectable infection
publisher Elsevier
series Epidemics
issn 1755-4365
1878-0067
publishDate 2017-09-01
description HIV infection cannot be detected immediately after exposure because plasma viral loads are too small initially. The duration of this phase of infection (the “eclipse period”) is difficult to estimate because precise dates of exposure are rarely known. Therefore, the reliability of clinical HIV testing during the first few weeks of infection is unknown, creating anxiety among HIV-exposed individuals and their physicians. We address this by fitting stochastic models of early HIV infection to detailed viral load records for 78 plasma donors, taken during the period of exposure and infection. We first show that the classic stochastic birth-death model does not satisfactorily describe early infection. We therefore apply a different stochastic model that includes infected cells and virions separately. Since every plasma donor in our data eventually becomes infected, we must condition the model to reflect this bias, before fitting to the data. Applying our best estimates of unknown parameter values, we estimate the mean eclipse period to be 8–10 days. We further estimate the reliability of a negative test t days after potential exposure.
topic HIV
Eclipse period
Viral kinetics
Stochastic modelling
url http://www.sciencedirect.com/science/article/pii/S1755436517300646
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