Loading…

Integrating Demographic and Epidemiological Approaches to Research on HIV/AIDS: The Proximate-Determinants Framework

This article presents a conceptual framework for the study of the distribution and determinants of human immunodeficiency virus (HIV) infection in populations, by combining demographic and epidemiological approaches. The proximate-determinants framework has been applied extensively in the study of f...

Full description

Saved in:

Bibliographic Details
Published in:	The Journal of infectious diseases 2005-02, Vol.191 (Supplement-1), p.S61-S67
Main Authors:	Boerma, J. Ties, Weir, Sharon S.
Format:	Article
Language:	English
Subjects:	AIDS Child, Preschool Condoms Demography Epidemiology Fertility HIV HIV infections HIV Infections - epidemiology HIV Infections - mortality HIV Infections - transmission Human immunodeficiency virus Humans Infant Infant, Newborn Infections Models, Statistical Mortality Research Design Risk Factors Sexual transmission Socioeconomic Factors Theory and Methods Transmission efficiency
Citations:	Items that this one cites Items that cite this one
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

cited_by	cdi_FETCH-LOGICAL-c427t-59069e1f57ca4f8b383fb3b4cb2e010294197e2215f349be3e51763951901283
cites	cdi_FETCH-LOGICAL-c427t-59069e1f57ca4f8b383fb3b4cb2e010294197e2215f349be3e51763951901283
container_end_page	S67
container_issue	Supplement-1
container_start_page	S61
container_title	The Journal of infectious diseases
container_volume	191
creator	Boerma, J. Ties Weir, Sharon S.
description	This article presents a conceptual framework for the study of the distribution and determinants of human immunodeficiency virus (HIV) infection in populations, by combining demographic and epidemiological approaches. The proximate-determinants framework has been applied extensively in the study of fertility and child survival in developing countries. Key to the framework is the identification of a set of variables, called “proximate determinants,” that can be influenced by changes in contextual variables or by interventions and that have a direct effect on biological mechanisms to influence health outcomes. In HIV research, the biological mechanisms are the components that determine the reproductive rate of infection. The proximate-determinants framework can be used in study design, in the analysis and interpretation of risk factors or intervention studies that include both biological and behavioral data, and in ecological studies
doi_str_mv	10.1086/425282
format	article
fullrecord	<record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_67333684</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>30077757</jstor_id><sourcerecordid>30077757</sourcerecordid><originalsourceid>FETCH-LOGICAL-c427t-59069e1f57ca4f8b383fb3b4cb2e010294197e2215f349be3e51763951901283</originalsourceid><addsrcrecordid>eNqFkUtvEzEUhS0EoiHAPwBZXbAb6sfYHrOLmraTqjxEI4TYWJ7JncTpzHiwHdH-eyZK1EpsWN0rnU_nPg5Cbyn5SEkhz3ImWMGeoQkVXGVSUv4cTQhhLKOF1ifoVYxbQkjOpXqJTqiQTDHOJigt-gTrYJPr13gOnR_7YeNqbPsVvhjcCjrnW792tW3xbBiCt_UGIk4ef4cINtQb7HtcLn6czRbz2094uQH8Lfh719kE2RwShM71tk8RXwbbwR8f7l6jF41tI7w51ilaXl4sz8vs5uvV4nx2k9U5UykTmkgNtBGqtnlTVLzgTcWrvK4YEEqYzqlWwBgVDc91BRwEVZJrQTWhrOBT9OFgO279ewcxmc7FGtrW9uB30UjFOZdF_l-QKlXI_U-n6PQfcOt3oR9vMIxxTfZzn9zq4GMM0JghjN8ID4YSsw_LHMIawfdHt13VweoJO6YzAu8OwDYmHx51TohSSqhRzw66iwnuH3Ub7va3KWHKn7-Muv5cltfq1nzhfwH5RqUZ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>223909012</pqid></control><display><type>article</type><title>Integrating Demographic and Epidemiological Approaches to Research on HIV/AIDS: The Proximate-Determinants Framework</title><source>Oxford Journals Online</source><creator>Boerma, J. Ties ; Weir, Sharon S.</creator><creatorcontrib>Boerma, J. Ties ; Weir, Sharon S.</creatorcontrib><description>This article presents a conceptual framework for the study of the distribution and determinants of human immunodeficiency virus (HIV) infection in populations, by combining demographic and epidemiological approaches. The proximate-determinants framework has been applied extensively in the study of fertility and child survival in developing countries. Key to the framework is the identification of a set of variables, called “proximate determinants,” that can be influenced by changes in contextual variables or by interventions and that have a direct effect on biological mechanisms to influence health outcomes. In HIV research, the biological mechanisms are the components that determine the reproductive rate of infection. The proximate-determinants framework can be used in study design, in the analysis and interpretation of risk factors or intervention studies that include both biological and behavioral data, and in ecological studies</description><identifier>ISSN: 0022-1899</identifier><identifier>EISSN: 1537-6613</identifier><identifier>DOI: 10.1086/425282</identifier><identifier>PMID: 15627232</identifier><identifier>CODEN: JIDIAQ</identifier><language>eng</language><publisher>United States: The University of Chicago Press</publisher><subject>AIDS ; Child, Preschool ; Condoms ; Demography ; Epidemiology ; Fertility ; HIV ; HIV infections ; HIV Infections - epidemiology ; HIV Infections - mortality ; HIV Infections - transmission ; Human immunodeficiency virus ; Humans ; Infant ; Infant, Newborn ; Infections ; Models, Statistical ; Mortality ; Research Design ; Risk Factors ; Sexual transmission ; Socioeconomic Factors ; Theory and Methods ; Transmission efficiency</subject><ispartof>The Journal of infectious diseases, 2005-02, Vol.191 (Supplement-1), p.S61-S67</ispartof><rights>Copyright 2005 Infectious Diseases Society of America</rights><rights>Copyright University of Chicago Press Feb 1, 2005</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c427t-59069e1f57ca4f8b383fb3b4cb2e010294197e2215f349be3e51763951901283</citedby><cites>FETCH-LOGICAL-c427t-59069e1f57ca4f8b383fb3b4cb2e010294197e2215f349be3e51763951901283</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15627232$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Boerma, J. Ties</creatorcontrib><creatorcontrib>Weir, Sharon S.</creatorcontrib><title>Integrating Demographic and Epidemiological Approaches to Research on HIV/AIDS: The Proximate-Determinants Framework</title><title>The Journal of infectious diseases</title><addtitle>The Journal of Infectious Diseases</addtitle><description>This article presents a conceptual framework for the study of the distribution and determinants of human immunodeficiency virus (HIV) infection in populations, by combining demographic and epidemiological approaches. The proximate-determinants framework has been applied extensively in the study of fertility and child survival in developing countries. Key to the framework is the identification of a set of variables, called “proximate determinants,” that can be influenced by changes in contextual variables or by interventions and that have a direct effect on biological mechanisms to influence health outcomes. In HIV research, the biological mechanisms are the components that determine the reproductive rate of infection. The proximate-determinants framework can be used in study design, in the analysis and interpretation of risk factors or intervention studies that include both biological and behavioral data, and in ecological studies</description><subject>AIDS</subject><subject>Child, Preschool</subject><subject>Condoms</subject><subject>Demography</subject><subject>Epidemiology</subject><subject>Fertility</subject><subject>HIV</subject><subject>HIV infections</subject><subject>HIV Infections - epidemiology</subject><subject>HIV Infections - mortality</subject><subject>HIV Infections - transmission</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Infections</subject><subject>Models, Statistical</subject><subject>Mortality</subject><subject>Research Design</subject><subject>Risk Factors</subject><subject>Sexual transmission</subject><subject>Socioeconomic Factors</subject><subject>Theory and Methods</subject><subject>Transmission efficiency</subject><issn>0022-1899</issn><issn>1537-6613</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNqFkUtvEzEUhS0EoiHAPwBZXbAb6sfYHrOLmraTqjxEI4TYWJ7JncTpzHiwHdH-eyZK1EpsWN0rnU_nPg5Cbyn5SEkhz3ImWMGeoQkVXGVSUv4cTQhhLKOF1ifoVYxbQkjOpXqJTqiQTDHOJigt-gTrYJPr13gOnR_7YeNqbPsVvhjcCjrnW792tW3xbBiCt_UGIk4ef4cINtQb7HtcLn6czRbz2094uQH8Lfh719kE2RwShM71tk8RXwbbwR8f7l6jF41tI7w51ilaXl4sz8vs5uvV4nx2k9U5UykTmkgNtBGqtnlTVLzgTcWrvK4YEEqYzqlWwBgVDc91BRwEVZJrQTWhrOBT9OFgO279ewcxmc7FGtrW9uB30UjFOZdF_l-QKlXI_U-n6PQfcOt3oR9vMIxxTfZzn9zq4GMM0JghjN8ID4YSsw_LHMIawfdHt13VweoJO6YzAu8OwDYmHx51TohSSqhRzw66iwnuH3Ub7va3KWHKn7-Muv5cltfq1nzhfwH5RqUZ</recordid><startdate>20050201</startdate><enddate>20050201</enddate><creator>Boerma, J. Ties</creator><creator>Weir, Sharon S.</creator><general>The University of Chicago Press</general><general>University of Chicago Press</general><general>Oxford University Press</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7U9</scope><scope>H94</scope><scope>7X8</scope></search><sort><creationdate>20050201</creationdate><title>Integrating Demographic and Epidemiological Approaches to Research on HIV/AIDS: The Proximate-Determinants Framework</title><author>Boerma, J. Ties ; Weir, Sharon S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-59069e1f57ca4f8b383fb3b4cb2e010294197e2215f349be3e51763951901283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>AIDS</topic><topic>Child, Preschool</topic><topic>Condoms</topic><topic>Demography</topic><topic>Epidemiology</topic><topic>Fertility</topic><topic>HIV</topic><topic>HIV infections</topic><topic>HIV Infections - epidemiology</topic><topic>HIV Infections - mortality</topic><topic>HIV Infections - transmission</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Infections</topic><topic>Models, Statistical</topic><topic>Mortality</topic><topic>Research Design</topic><topic>Risk Factors</topic><topic>Sexual transmission</topic><topic>Socioeconomic Factors</topic><topic>Theory and Methods</topic><topic>Transmission efficiency</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boerma, J. Ties</creatorcontrib><creatorcontrib>Weir, Sharon S.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of infectious diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boerma, J. Ties</au><au>Weir, Sharon S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrating Demographic and Epidemiological Approaches to Research on HIV/AIDS: The Proximate-Determinants Framework</atitle><jtitle>The Journal of infectious diseases</jtitle><addtitle>The Journal of Infectious Diseases</addtitle><date>2005-02-01</date><risdate>2005</risdate><volume>191</volume><issue>Supplement-1</issue><spage>S61</spage><epage>S67</epage><pages>S61-S67</pages><issn>0022-1899</issn><eissn>1537-6613</eissn><coden>JIDIAQ</coden><abstract>This article presents a conceptual framework for the study of the distribution and determinants of human immunodeficiency virus (HIV) infection in populations, by combining demographic and epidemiological approaches. The proximate-determinants framework has been applied extensively in the study of fertility and child survival in developing countries. Key to the framework is the identification of a set of variables, called “proximate determinants,” that can be influenced by changes in contextual variables or by interventions and that have a direct effect on biological mechanisms to influence health outcomes. In HIV research, the biological mechanisms are the components that determine the reproductive rate of infection. The proximate-determinants framework can be used in study design, in the analysis and interpretation of risk factors or intervention studies that include both biological and behavioral data, and in ecological studies</abstract><cop>United States</cop><pub>The University of Chicago Press</pub><pmid>15627232</pmid><doi>10.1086/425282</doi><oa>free_for_read</oa></addata></record>
fulltext	fulltext
identifier	ISSN: 0022-1899
ispartof	The Journal of infectious diseases, 2005-02, Vol.191 (Supplement-1), p.S61-S67
issn	0022-1899 1537-6613
language	eng
recordid	cdi_proquest_miscellaneous_67333684
source	Oxford Journals Online
subjects	AIDS Child, Preschool Condoms Demography Epidemiology Fertility HIV HIV infections HIV Infections - epidemiology HIV Infections - mortality HIV Infections - transmission Human immunodeficiency virus Humans Infant Infant, Newborn Infections Models, Statistical Mortality Research Design Risk Factors Sexual transmission Socioeconomic Factors Theory and Methods Transmission efficiency
title	Integrating Demographic and Epidemiological Approaches to Research on HIV/AIDS: The Proximate-Determinants Framework
url	http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T20%3A14%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Integrating%20Demographic%20and%20Epidemiological%20Approaches%20to%20Research%20on%20HIV/AIDS:%20The%20Proximate-Determinants%20Framework&rft.jtitle=The%20Journal%20of%20infectious%20diseases&rft.au=Boerma,%20J.%20Ties&rft.date=2005-02-01&rft.volume=191&rft.issue=Supplement-1&rft.spage=S61&rft.epage=S67&rft.pages=S61-S67&rft.issn=0022-1899&rft.eissn=1537-6613&rft.coden=JIDIAQ&rft_id=info:doi/10.1086/425282&rft_dat=%3Cjstor_proqu%3E30077757%3C/jstor_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c427t-59069e1f57ca4f8b383fb3b4cb2e010294197e2215f349be3e51763951901283%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=223909012&rft_id=info:pmid/15627232&rft_jstor_id=30077757&rfr_iscdi=true