Identifying multidrug resistant tuberculosis transmission hotspots using routinely collected data
Summary In most countries with large drug resistant tuberculosis epidemics, only those cases that are at highest risk of having MDRTB receive a drug sensitivity test (DST) at the time of diagnosis. Because of this prioritized testing, identification of MDRTB transmission hotspots in communities wher...
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| Veröffentlicht in: | Tuberculosis (Edinburgh, Scotland) Scotland), 2012-05, Vol.92 (3), p.273-279 |
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| container_title | Tuberculosis (Edinburgh, Scotland) |
| container_volume | 92 |
| creator | Manjourides, Justin Lin, Hsien-Ho Shin, Sonya Jeffery, Caroline Contreras, Carmen Cruz, Janeth Santa Jave, Oswaldo Yagui, Martin Asencios, Luis Pagano, Marcello Cohen, Ted |
| description | Summary In most countries with large drug resistant tuberculosis epidemics, only those cases that are at highest risk of having MDRTB receive a drug sensitivity test (DST) at the time of diagnosis. Because of this prioritized testing, identification of MDRTB transmission hotspots in communities where TB cases do not receive DST is challenging, as any observed aggregation of MDRTB may reflect systematic differences in how testing is distributed in communities. We introduce a new disease mapping method, which estimates this missing information through probability-weighted locations, to identify geographic areas of increased risk of MDRTB transmission. We apply this method to routinely collected data from two districts in Lima, Peru over three consecutive years. This method identifies an area in the eastern part of Lima where previously untreated cases have increased risk of MDRTB. This may indicate an area of increased transmission of drug resistant disease, a finding that may otherwise have been missed by routine analysis of programmatic data. The risk of MDR among retreatment cases is also highest in these probable transmission hotspots, though a high level of MDR among retreatment cases is present throughout the study area. Identifying potential multidrug resistant tuberculosis (MDRTB) transmission hotspots may allow for targeted investigation and deployment of resources. |
| doi_str_mv | 10.1016/j.tube.2012.02.003 |
| format | Article |
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Because of this prioritized testing, identification of MDRTB transmission hotspots in communities where TB cases do not receive DST is challenging, as any observed aggregation of MDRTB may reflect systematic differences in how testing is distributed in communities. We introduce a new disease mapping method, which estimates this missing information through probability-weighted locations, to identify geographic areas of increased risk of MDRTB transmission. We apply this method to routinely collected data from two districts in Lima, Peru over three consecutive years. This method identifies an area in the eastern part of Lima where previously untreated cases have increased risk of MDRTB. This may indicate an area of increased transmission of drug resistant disease, a finding that may otherwise have been missed by routine analysis of programmatic data. The risk of MDR among retreatment cases is also highest in these probable transmission hotspots, though a high level of MDR among retreatment cases is present throughout the study area. Identifying potential multidrug resistant tuberculosis (MDRTB) transmission hotspots may allow for targeted investigation and deployment of resources.</description><identifier>ISSN: 1472-9792</identifier><identifier>EISSN: 1873-281X</identifier><identifier>DOI: 10.1016/j.tube.2012.02.003</identifier><identifier>PMID: 22401962</identifier><language>eng</language><publisher>Scotland: Elsevier Ltd</publisher><subject>Algorithms ; Antibiotic resistance ; Antitubercular Agents - therapeutic use ; Data processing ; Disease mapping ; Disease Outbreaks ; Drug resistance ; Drug Resistance, Multiple, Bacterial ; Drugs ; Epidemics ; Geographic Information Systems ; Hot spots ; Humans ; Infectious Disease ; Mapping ; Microbial Sensitivity Tests - methods ; Multidrug resistance ; Mycobacterium ; Mycobacterium tuberculosis - drug effects ; Peru - epidemiology ; Pulmonary/Respiratory ; Retreatment ; Retrospective Studies ; Risk factors ; Surveillance ; Tuberculosis ; Tuberculosis, Multidrug-Resistant - drug therapy ; Tuberculosis, Multidrug-Resistant - epidemiology ; Tuberculosis, Multidrug-Resistant - microbiology ; Tuberculosis, Multidrug-Resistant - transmission</subject><ispartof>Tuberculosis (Edinburgh, Scotland), 2012-05, Vol.92 (3), p.273-279</ispartof><rights>Elsevier Ltd</rights><rights>2012 Elsevier Ltd</rights><rights>Copyright © 2012 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c487t-fb1e5d92712c9b53aa3091ea12be9a539f3e8ad574518bb148a63b86e6dee9173</citedby><cites>FETCH-LOGICAL-c487t-fb1e5d92712c9b53aa3091ea12be9a539f3e8ad574518bb148a63b86e6dee9173</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1472979212000285$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22401962$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Manjourides, Justin</creatorcontrib><creatorcontrib>Lin, Hsien-Ho</creatorcontrib><creatorcontrib>Shin, Sonya</creatorcontrib><creatorcontrib>Jeffery, Caroline</creatorcontrib><creatorcontrib>Contreras, Carmen</creatorcontrib><creatorcontrib>Cruz, Janeth Santa</creatorcontrib><creatorcontrib>Jave, Oswaldo</creatorcontrib><creatorcontrib>Yagui, Martin</creatorcontrib><creatorcontrib>Asencios, Luis</creatorcontrib><creatorcontrib>Pagano, Marcello</creatorcontrib><creatorcontrib>Cohen, Ted</creatorcontrib><title>Identifying multidrug resistant tuberculosis transmission hotspots using routinely collected data</title><title>Tuberculosis (Edinburgh, Scotland)</title><addtitle>Tuberculosis (Edinb)</addtitle><description>Summary In most countries with large drug resistant tuberculosis epidemics, only those cases that are at highest risk of having MDRTB receive a drug sensitivity test (DST) at the time of diagnosis. Because of this prioritized testing, identification of MDRTB transmission hotspots in communities where TB cases do not receive DST is challenging, as any observed aggregation of MDRTB may reflect systematic differences in how testing is distributed in communities. We introduce a new disease mapping method, which estimates this missing information through probability-weighted locations, to identify geographic areas of increased risk of MDRTB transmission. We apply this method to routinely collected data from two districts in Lima, Peru over three consecutive years. This method identifies an area in the eastern part of Lima where previously untreated cases have increased risk of MDRTB. This may indicate an area of increased transmission of drug resistant disease, a finding that may otherwise have been missed by routine analysis of programmatic data. The risk of MDR among retreatment cases is also highest in these probable transmission hotspots, though a high level of MDR among retreatment cases is present throughout the study area. Identifying potential multidrug resistant tuberculosis (MDRTB) transmission hotspots may allow for targeted investigation and deployment of resources.</description><subject>Algorithms</subject><subject>Antibiotic resistance</subject><subject>Antitubercular Agents - therapeutic use</subject><subject>Data processing</subject><subject>Disease mapping</subject><subject>Disease Outbreaks</subject><subject>Drug resistance</subject><subject>Drug Resistance, Multiple, Bacterial</subject><subject>Drugs</subject><subject>Epidemics</subject><subject>Geographic Information Systems</subject><subject>Hot spots</subject><subject>Humans</subject><subject>Infectious Disease</subject><subject>Mapping</subject><subject>Microbial Sensitivity Tests - methods</subject><subject>Multidrug resistance</subject><subject>Mycobacterium</subject><subject>Mycobacterium tuberculosis - drug effects</subject><subject>Peru - epidemiology</subject><subject>Pulmonary/Respiratory</subject><subject>Retreatment</subject><subject>Retrospective Studies</subject><subject>Risk factors</subject><subject>Surveillance</subject><subject>Tuberculosis</subject><subject>Tuberculosis, Multidrug-Resistant - drug therapy</subject><subject>Tuberculosis, Multidrug-Resistant - epidemiology</subject><subject>Tuberculosis, Multidrug-Resistant - microbiology</subject><subject>Tuberculosis, Multidrug-Resistant - transmission</subject><issn>1472-9792</issn><issn>1873-281X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kktLXTEUhUNpqdb6BxzImdXJuc3jPBKQQhFrBaGDWnAWcpJ9NNfc5DaPwv335nDVQQfCDgnhWyvJykbohOAVwWT4ul7lMsGKYkJXuBZm79Ah4SNrKSd37-u6G2krRkEP0KeU1riKMMcf0QGlHSZioIdIXRvw2c476--bTXHZmljumwjJpqx8bpYjoi4u1I0mR-XTxqZkg28eQk7bOpqSFnEMJVsPbtfo4BzoDKYxKqvP6MOsXILj5_kI_flxeXvxs735dXV98f2m1R0fcztPBHoj6EioFlPPlGJYEFCETiBUz8TMgCvTj11P-DSRjquBTXyAwQAIMrIj9GXvu43hb4GUZb2oBueUh1CSFIIxMohOVPLsTbKGSygWmLGK0j2qY0gpwiy30W5U3FVo4Qa5lktCcvkEiWvhRXT67F-mDZhXyUvqFTjfA1Dz-GchyqQteA3GxhqcNMG-7f_tP7l21lut3CPsIK1Dib4mLYlMVSB_L22wdEF9FMaU9-wJaT6vwQ</recordid><startdate>20120501</startdate><enddate>20120501</enddate><creator>Manjourides, Justin</creator><creator>Lin, Hsien-Ho</creator><creator>Shin, Sonya</creator><creator>Jeffery, Caroline</creator><creator>Contreras, Carmen</creator><creator>Cruz, Janeth Santa</creator><creator>Jave, Oswaldo</creator><creator>Yagui, Martin</creator><creator>Asencios, Luis</creator><creator>Pagano, Marcello</creator><creator>Cohen, Ted</creator><general>Elsevier Ltd</general><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>7QL</scope><scope>C1K</scope><scope>7X8</scope></search><sort><creationdate>20120501</creationdate><title>Identifying multidrug resistant tuberculosis transmission hotspots using routinely collected data</title><author>Manjourides, Justin ; Lin, Hsien-Ho ; Shin, Sonya ; Jeffery, Caroline ; Contreras, Carmen ; Cruz, Janeth Santa ; Jave, Oswaldo ; Yagui, Martin ; Asencios, Luis ; Pagano, Marcello ; Cohen, Ted</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c487t-fb1e5d92712c9b53aa3091ea12be9a539f3e8ad574518bb148a63b86e6dee9173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Algorithms</topic><topic>Antibiotic resistance</topic><topic>Antitubercular Agents - therapeutic use</topic><topic>Data processing</topic><topic>Disease mapping</topic><topic>Disease Outbreaks</topic><topic>Drug resistance</topic><topic>Drug Resistance, Multiple, Bacterial</topic><topic>Drugs</topic><topic>Epidemics</topic><topic>Geographic Information Systems</topic><topic>Hot spots</topic><topic>Humans</topic><topic>Infectious Disease</topic><topic>Mapping</topic><topic>Microbial Sensitivity Tests - methods</topic><topic>Multidrug resistance</topic><topic>Mycobacterium</topic><topic>Mycobacterium tuberculosis - drug effects</topic><topic>Peru - epidemiology</topic><topic>Pulmonary/Respiratory</topic><topic>Retreatment</topic><topic>Retrospective Studies</topic><topic>Risk factors</topic><topic>Surveillance</topic><topic>Tuberculosis</topic><topic>Tuberculosis, Multidrug-Resistant - drug therapy</topic><topic>Tuberculosis, Multidrug-Resistant - epidemiology</topic><topic>Tuberculosis, Multidrug-Resistant - microbiology</topic><topic>Tuberculosis, Multidrug-Resistant - transmission</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Manjourides, Justin</creatorcontrib><creatorcontrib>Lin, Hsien-Ho</creatorcontrib><creatorcontrib>Shin, Sonya</creatorcontrib><creatorcontrib>Jeffery, Caroline</creatorcontrib><creatorcontrib>Contreras, Carmen</creatorcontrib><creatorcontrib>Cruz, Janeth Santa</creatorcontrib><creatorcontrib>Jave, Oswaldo</creatorcontrib><creatorcontrib>Yagui, Martin</creatorcontrib><creatorcontrib>Asencios, Luis</creatorcontrib><creatorcontrib>Pagano, Marcello</creatorcontrib><creatorcontrib>Cohen, Ted</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>Tuberculosis (Edinburgh, Scotland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Manjourides, Justin</au><au>Lin, Hsien-Ho</au><au>Shin, Sonya</au><au>Jeffery, Caroline</au><au>Contreras, Carmen</au><au>Cruz, Janeth Santa</au><au>Jave, Oswaldo</au><au>Yagui, Martin</au><au>Asencios, Luis</au><au>Pagano, Marcello</au><au>Cohen, Ted</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying multidrug resistant tuberculosis transmission hotspots using routinely collected data</atitle><jtitle>Tuberculosis (Edinburgh, Scotland)</jtitle><addtitle>Tuberculosis (Edinb)</addtitle><date>2012-05-01</date><risdate>2012</risdate><volume>92</volume><issue>3</issue><spage>273</spage><epage>279</epage><pages>273-279</pages><issn>1472-9792</issn><eissn>1873-281X</eissn><abstract>Summary In most countries with large drug resistant tuberculosis epidemics, only those cases that are at highest risk of having MDRTB receive a drug sensitivity test (DST) at the time of diagnosis. Because of this prioritized testing, identification of MDRTB transmission hotspots in communities where TB cases do not receive DST is challenging, as any observed aggregation of MDRTB may reflect systematic differences in how testing is distributed in communities. We introduce a new disease mapping method, which estimates this missing information through probability-weighted locations, to identify geographic areas of increased risk of MDRTB transmission. We apply this method to routinely collected data from two districts in Lima, Peru over three consecutive years. This method identifies an area in the eastern part of Lima where previously untreated cases have increased risk of MDRTB. This may indicate an area of increased transmission of drug resistant disease, a finding that may otherwise have been missed by routine analysis of programmatic data. The risk of MDR among retreatment cases is also highest in these probable transmission hotspots, though a high level of MDR among retreatment cases is present throughout the study area. Identifying potential multidrug resistant tuberculosis (MDRTB) transmission hotspots may allow for targeted investigation and deployment of resources.</abstract><cop>Scotland</cop><pub>Elsevier Ltd</pub><pmid>22401962</pmid><doi>10.1016/j.tube.2012.02.003</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1472-9792 |
| ispartof | Tuberculosis (Edinburgh, Scotland), 2012-05, Vol.92 (3), p.273-279 |
| issn | 1472-9792 1873-281X |
| language | eng |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Algorithms Antibiotic resistance Antitubercular Agents - therapeutic use Data processing Disease mapping Disease Outbreaks Drug resistance Drug Resistance, Multiple, Bacterial Drugs Epidemics Geographic Information Systems Hot spots Humans Infectious Disease Mapping Microbial Sensitivity Tests - methods Multidrug resistance Mycobacterium Mycobacterium tuberculosis - drug effects Peru - epidemiology Pulmonary/Respiratory Retreatment Retrospective Studies Risk factors Surveillance Tuberculosis Tuberculosis, Multidrug-Resistant - drug therapy Tuberculosis, Multidrug-Resistant - epidemiology Tuberculosis, Multidrug-Resistant - microbiology Tuberculosis, Multidrug-Resistant - transmission |
| title | Identifying multidrug resistant tuberculosis transmission hotspots using routinely collected data |
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