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Investigation and estimation of the prevalence of drug addicts in Xichang, china

To use a new method to estimate the prevalence of drug addicts in Xichang for the first time and to suggest that Chinese Center for Disease Control and Prevention should strengthen surveillance and intervention for them. The Capture-Mark-Recapture (CMR) method of 3 correlated sources under the simpl...

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Detalles Bibliográficos
Autores principales: Chen, Kejin, Bian, Chaorong, Song, Benli, Gao, Ge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486045/
https://www.ncbi.nlm.nih.gov/pubmed/30608420
http://dx.doi.org/10.1097/MD.0000000000013919
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author Chen, Kejin
Bian, Chaorong
Song, Benli
Gao, Ge
author_facet Chen, Kejin
Bian, Chaorong
Song, Benli
Gao, Ge
author_sort Chen, Kejin
collection PubMed
description To use a new method to estimate the prevalence of drug addicts in Xichang for the first time and to suggest that Chinese Center for Disease Control and Prevention should strengthen surveillance and intervention for them. The Capture-Mark-Recapture (CMR) method of 3 correlated sources under the simple random sampling and its formulas detailed in this paper were applied to a survey of issues relevant to drug addicts in Xichang, China. To view half a year as reacquisition time, the prevalence of drug users in Xichang could be 5264 in 2014, accounting for 0.7% of the resident population of the same year. This investigation method and its formulas studied in this paper have both high reliability and high validity, being worthy of promotion in terms of estimating the prevalence of drug addicts in other parts of the world.
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spelling pubmed-64860452019-05-29 Investigation and estimation of the prevalence of drug addicts in Xichang, china Chen, Kejin Bian, Chaorong Song, Benli Gao, Ge Medicine (Baltimore) Research Article To use a new method to estimate the prevalence of drug addicts in Xichang for the first time and to suggest that Chinese Center for Disease Control and Prevention should strengthen surveillance and intervention for them. The Capture-Mark-Recapture (CMR) method of 3 correlated sources under the simple random sampling and its formulas detailed in this paper were applied to a survey of issues relevant to drug addicts in Xichang, China. To view half a year as reacquisition time, the prevalence of drug users in Xichang could be 5264 in 2014, accounting for 0.7% of the resident population of the same year. This investigation method and its formulas studied in this paper have both high reliability and high validity, being worthy of promotion in terms of estimating the prevalence of drug addicts in other parts of the world. Wolters Kluwer Health 2019-01-04 /pmc/articles/PMC6486045/ /pubmed/30608420 http://dx.doi.org/10.1097/MD.0000000000013919 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle Research Article
Chen, Kejin
Bian, Chaorong
Song, Benli
Gao, Ge
Investigation and estimation of the prevalence of drug addicts in Xichang, china
title Investigation and estimation of the prevalence of drug addicts in Xichang, china
title_full Investigation and estimation of the prevalence of drug addicts in Xichang, china
title_fullStr Investigation and estimation of the prevalence of drug addicts in Xichang, china
title_full_unstemmed Investigation and estimation of the prevalence of drug addicts in Xichang, china
title_short Investigation and estimation of the prevalence of drug addicts in Xichang, china
title_sort investigation and estimation of the prevalence of drug addicts in xichang, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486045/
https://www.ncbi.nlm.nih.gov/pubmed/30608420
http://dx.doi.org/10.1097/MD.0000000000013919
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