When to Control Endemic Infections by Focusing on High-Risk Groups
Background: For nontransmissible diseases, decisions between interventions focused on high-risk groups and unfocused interventions can be based on attributable-risk calculations. The assumptions of those calculations, however, are violated for infectious diseases. Methods: We used deterministic comp...
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Veröffentlicht in: | Epidemiology (Cambridge, Mass.) Mass.), 2005-09, Vol.16 (5), p.621-627 |
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description | Background: For nontransmissible diseases, decisions between interventions focused on high-risk groups and unfocused interventions can be based on attributable-risk calculations. The assumptions of those calculations, however, are violated for infectious diseases. Methods: We used deterministic compartmental models of infection transmission having both high- and low-risk groups and both susceptible and infected states to examine intervention effects on endemic infection levels. High risk is generated by increased susceptibility or contagiousness--factors that can be reduced by interventions. Population effects of focused and unfocused interventions are compared at settings where these would be equal if there were no transmission. Results: In the most likely range of mixing between high- and low-risk groups, focused interventions have considerably larger effects than unfocused interventions. At all mixing levels, both interventions have greater effects on infectious than noninfectious diseases because a change in risk factor for one individual alters risk in others. Interventions on contagiousness in high-risk groups have greater effects than comparable interventions on susceptibility. Conclusions: Risk assessment for infectious disease requires analysis of the population system that is circulating the infection. Vaccine trials on individuals will miss important effects that trials on transmission units will detect. Focusing HIV control on contagiousness factors in high-risk groups will be especially productive. |
doi_str_mv | 10.1097/01.ede.0000172133.46385.18 |
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The assumptions of those calculations, however, are violated for infectious diseases. Methods: We used deterministic compartmental models of infection transmission having both high- and low-risk groups and both susceptible and infected states to examine intervention effects on endemic infection levels. High risk is generated by increased susceptibility or contagiousness--factors that can be reduced by interventions. Population effects of focused and unfocused interventions are compared at settings where these would be equal if there were no transmission. Results: In the most likely range of mixing between high- and low-risk groups, focused interventions have considerably larger effects than unfocused interventions. At all mixing levels, both interventions have greater effects on infectious than noninfectious diseases because a change in risk factor for one individual alters risk in others. Interventions on contagiousness in high-risk groups have greater effects than comparable interventions on susceptibility. Conclusions: Risk assessment for infectious disease requires analysis of the population system that is circulating the infection. Vaccine trials on individuals will miss important effects that trials on transmission units will detect. Focusing HIV control on contagiousness factors in high-risk groups will be especially productive.</description><identifier>ISSN: 1044-3983</identifier><identifier>EISSN: 1531-5487</identifier><identifier>DOI: 10.1097/01.ede.0000172133.46385.18</identifier><identifier>PMID: 16135937</identifier><language>eng</language><publisher>Philadelphia, PA: Lippincott Williams & Wilkins</publisher><subject>Biological and medical sciences ; Communicable Disease Control - methods ; Communicable Diseases - epidemiology ; Communicable Diseases - transmission ; Depopulation ; Disease risk ; Disease Susceptibility ; Disease transmission ; Endemic Diseases - prevention & control ; Epidemiology ; Human immunodeficiency virus ; Human viral diseases ; Humans ; Incidence ; Infection control ; Infections ; Infectious diseases ; Medical sciences ; Miscellaneous ; Modeling ; Models, Statistical ; Predisposing factors ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Risk Assessment ; Time Factors ; Vaccination ; Viral diseases ; Viral diseases of the lymphoid tissue and the blood. Aids</subject><ispartof>Epidemiology (Cambridge, Mass.), 2005-09, Vol.16 (5), p.621-627</ispartof><rights>Copyright 2005 Lippincott Williams & Wilkins</rights><rights>2005 Lippincott Williams & Wilkins, Inc.</rights><rights>2006 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4975-db943a1d186a884b11935dcb19e36ce09dd5309ae6cdcecb94de5755f62533b33</citedby><cites>FETCH-LOGICAL-c4975-db943a1d186a884b11935dcb19e36ce09dd5309ae6cdcecb94de5755f62533b33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/20486113$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/20486113$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27903,27904,57995,58228</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17219767$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16135937$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Koopman, James S.</creatorcontrib><creatorcontrib>Simon, Carl P.</creatorcontrib><creatorcontrib>Riolo, Chris P.</creatorcontrib><title>When to Control Endemic Infections by Focusing on High-Risk Groups</title><title>Epidemiology (Cambridge, Mass.)</title><addtitle>Epidemiology</addtitle><description>Background: For nontransmissible diseases, decisions between interventions focused on high-risk groups and unfocused interventions can be based on attributable-risk calculations. The assumptions of those calculations, however, are violated for infectious diseases. Methods: We used deterministic compartmental models of infection transmission having both high- and low-risk groups and both susceptible and infected states to examine intervention effects on endemic infection levels. High risk is generated by increased susceptibility or contagiousness--factors that can be reduced by interventions. Population effects of focused and unfocused interventions are compared at settings where these would be equal if there were no transmission. Results: In the most likely range of mixing between high- and low-risk groups, focused interventions have considerably larger effects than unfocused interventions. At all mixing levels, both interventions have greater effects on infectious than noninfectious diseases because a change in risk factor for one individual alters risk in others. Interventions on contagiousness in high-risk groups have greater effects than comparable interventions on susceptibility. Conclusions: Risk assessment for infectious disease requires analysis of the population system that is circulating the infection. Vaccine trials on individuals will miss important effects that trials on transmission units will detect. Focusing HIV control on contagiousness factors in high-risk groups will be especially productive.</description><subject>Biological and medical sciences</subject><subject>Communicable Disease Control - methods</subject><subject>Communicable Diseases - epidemiology</subject><subject>Communicable Diseases - transmission</subject><subject>Depopulation</subject><subject>Disease risk</subject><subject>Disease Susceptibility</subject><subject>Disease transmission</subject><subject>Endemic Diseases - prevention & control</subject><subject>Epidemiology</subject><subject>Human immunodeficiency virus</subject><subject>Human viral diseases</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infection control</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Modeling</subject><subject>Models, Statistical</subject><subject>Predisposing factors</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Risk Assessment</subject><subject>Time Factors</subject><subject>Vaccination</subject><subject>Viral diseases</subject><subject>Viral diseases of the lymphoid tissue and the blood. Aids</subject><issn>1044-3983</issn><issn>1531-5487</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkFtv1DAQhSMEoqXwE0AWErwleOJLbN5g1ZtUCQmBeLQce9JNm40XO1HVf4_TrLqPzItnrO-cGZ2i-Ai0AqqbLxQq9FjRXNDUwFjFJVOiAvWiOAXBoBRcNS9zTzkvmVbspHiT0t2CMxCvixOQwIRmzWnx_c8WRzIFsgnjFMNAzkePu96R67FDN_VhTKR9JBfBzakfb0kYyVV_uy1_9umeXMYw79Pb4lVnh4TvDu9Z8fvi_Nfmqrz5cXm9-XZTOq4bUfpWc2bBg5JWKd4CaCa8a0Ejkw6p9l4wqi1K5x26THsUjRCdrAVjLWNnxefVdx_D3xnTZHZ9cjgMdsQwJyOV4EIo8V-wBg41yAX8uoIuhpQidmYf-52NjwaoWaI2FEyO2hyjNk9RG1BZ_OGwZW536I_SQ7YZ-HQAbHJ26KIdXZ-OXPbTjVw4vnIPYZgwpvthfsBotmiHabuullyVNaWC6jyVy9dy_PtVdpemEJ9ta8qVhHzpP69xn34</recordid><startdate>200509</startdate><enddate>200509</enddate><creator>Koopman, James S.</creator><creator>Simon, Carl P.</creator><creator>Riolo, Chris P.</creator><general>Lippincott Williams & Wilkins</general><general>Lippincott Williams & Wilkins, Inc</general><scope>IQODW</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>7U1</scope><scope>7U2</scope><scope>C1K</scope><scope>7X8</scope></search><sort><creationdate>200509</creationdate><title>When to Control Endemic Infections by Focusing on High-Risk Groups</title><author>Koopman, James S. ; Simon, Carl P. ; Riolo, Chris P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4975-db943a1d186a884b11935dcb19e36ce09dd5309ae6cdcecb94de5755f62533b33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Biological and medical sciences</topic><topic>Communicable Disease Control - methods</topic><topic>Communicable Diseases - epidemiology</topic><topic>Communicable Diseases - transmission</topic><topic>Depopulation</topic><topic>Disease risk</topic><topic>Disease Susceptibility</topic><topic>Disease transmission</topic><topic>Endemic Diseases - prevention & control</topic><topic>Epidemiology</topic><topic>Human immunodeficiency virus</topic><topic>Human viral diseases</topic><topic>Humans</topic><topic>Incidence</topic><topic>Infection control</topic><topic>Infections</topic><topic>Infectious diseases</topic><topic>Medical sciences</topic><topic>Miscellaneous</topic><topic>Modeling</topic><topic>Models, Statistical</topic><topic>Predisposing factors</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Risk Assessment</topic><topic>Time Factors</topic><topic>Vaccination</topic><topic>Viral diseases</topic><topic>Viral diseases of the lymphoid tissue and the blood. Aids</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Koopman, James S.</creatorcontrib><creatorcontrib>Simon, Carl P.</creatorcontrib><creatorcontrib>Riolo, Chris P.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>Epidemiology (Cambridge, Mass.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koopman, James S.</au><au>Simon, Carl P.</au><au>Riolo, Chris P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>When to Control Endemic Infections by Focusing on High-Risk Groups</atitle><jtitle>Epidemiology (Cambridge, Mass.)</jtitle><addtitle>Epidemiology</addtitle><date>2005-09</date><risdate>2005</risdate><volume>16</volume><issue>5</issue><spage>621</spage><epage>627</epage><pages>621-627</pages><issn>1044-3983</issn><eissn>1531-5487</eissn><abstract>Background: For nontransmissible diseases, decisions between interventions focused on high-risk groups and unfocused interventions can be based on attributable-risk calculations. The assumptions of those calculations, however, are violated for infectious diseases. Methods: We used deterministic compartmental models of infection transmission having both high- and low-risk groups and both susceptible and infected states to examine intervention effects on endemic infection levels. High risk is generated by increased susceptibility or contagiousness--factors that can be reduced by interventions. Population effects of focused and unfocused interventions are compared at settings where these would be equal if there were no transmission. Results: In the most likely range of mixing between high- and low-risk groups, focused interventions have considerably larger effects than unfocused interventions. At all mixing levels, both interventions have greater effects on infectious than noninfectious diseases because a change in risk factor for one individual alters risk in others. Interventions on contagiousness in high-risk groups have greater effects than comparable interventions on susceptibility. Conclusions: Risk assessment for infectious disease requires analysis of the population system that is circulating the infection. Vaccine trials on individuals will miss important effects that trials on transmission units will detect. Focusing HIV control on contagiousness factors in high-risk groups will be especially productive.</abstract><cop>Philadelphia, PA</cop><pub>Lippincott Williams & Wilkins</pub><pmid>16135937</pmid><doi>10.1097/01.ede.0000172133.46385.18</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biological and medical sciences Communicable Disease Control - methods Communicable Diseases - epidemiology Communicable Diseases - transmission Depopulation Disease risk Disease Susceptibility Disease transmission Endemic Diseases - prevention & control Epidemiology Human immunodeficiency virus Human viral diseases Humans Incidence Infection control Infections Infectious diseases Medical sciences Miscellaneous Modeling Models, Statistical Predisposing factors Public health. Hygiene Public health. Hygiene-occupational medicine Risk Assessment Time Factors Vaccination Viral diseases Viral diseases of the lymphoid tissue and the blood. Aids |
title | When to Control Endemic Infections by Focusing on High-Risk Groups |
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