Estimation and Short-Term Prediction of the Course of the HIV Epidemic Using Demographic and Health Survey Methodology-Like Data

Hdl Handle:
http://hdl.handle.net/10144/560503
Title:
Estimation and Short-Term Prediction of the Course of the HIV Epidemic Using Demographic and Health Survey Methodology-Like Data
Authors:
Blaizot, Stéphanie; Riche, Benjamin; Maman, David; Mukui, Irene; Kirubi, Beatrice; Etard, Jean-François; Ecochard, René
Journal:
PloS One
Abstract:
Mathematical models have played important roles in the understanding of epidemics and in the study of the impacts of various behavioral or medical measures. However, modeling accurately the future spread of an epidemic requires context-specific parameters that are difficult to estimate because of lack of data. Our objective is to propose a methodology to estimate context-specific parameters using Demographic and Health Survey (DHS)-like data that can be used in mathematical modeling of short-term HIV spreading.
Publisher:
Public Library of Science
Issue Date:
19-Jun-2015
URI:
http://hdl.handle.net/10144/560503
DOI:
10.1371/journal.pone.0130387
PubMed ID:
26091253
Language:
en
ISSN:
1932-6203
Appears in Collections:
HIV/AIDS

Full metadata record

DC FieldValue Language
dc.contributor.authorBlaizot, Stéphanieen_GB
dc.contributor.authorRiche, Benjaminen_GB
dc.contributor.authorMaman, Daviden_GB
dc.contributor.authorMukui, Ireneen_GB
dc.contributor.authorKirubi, Beatriceen_GB
dc.contributor.authorEtard, Jean-Françoisen_GB
dc.contributor.authorEcochard, Renéen_GB
dc.date.accessioned2015-07-15T18:52:39Z-
dc.date.available2015-07-15T18:52:39Z-
dc.date.issued2015-06-19-
dc.identifier.citationEstimation and Short-Term Prediction of the Course of the HIV Epidemic Using Demographic and Health Survey Methodology-Like Data., 10 (6):e0130387 PLoS ONEen_GB
dc.identifier.issn1932-6203-
dc.identifier.pmid26091253-
dc.identifier.doi10.1371/journal.pone.0130387-
dc.identifier.urihttp://hdl.handle.net/10144/560503-
dc.description.abstractMathematical models have played important roles in the understanding of epidemics and in the study of the impacts of various behavioral or medical measures. However, modeling accurately the future spread of an epidemic requires context-specific parameters that are difficult to estimate because of lack of data. Our objective is to propose a methodology to estimate context-specific parameters using Demographic and Health Survey (DHS)-like data that can be used in mathematical modeling of short-term HIV spreading.en_GB
dc.languageENG-
dc.language.isoenen
dc.publisherPublic Library of Scienceen_GB
dc.rightsPublished by Public Library of Science, [url]http://www.plosone.org/[/url] Archived on this site by Open Access permissionen_GB
dc.titleEstimation and Short-Term Prediction of the Course of the HIV Epidemic Using Demographic and Health Survey Methodology-Like Dataen
dc.identifier.journalPloS Oneen_GB

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