Geographic predictors of primary multidrug-resistant tuberculosis cases in an endemic area of Lima, Peru
SETTING: Peru reports among the highest multidrug-resistant tuberculosis (MDR-TB) rates in the Americas, with a growing proportion in previously untreated tuberculosis (TB) cases. The identification of clusters of primary MDR-TB compared with drug-susceptible TB (DS-TB) could help prioritize interve...
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| Veröffentlicht in: | The international journal of tuberculosis and lung disease 2014-11, Vol.18 (11), p.1307-1314 |
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| container_title | The international journal of tuberculosis and lung disease |
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| creator | Shah, L. Choi, H. W. Berrang-Ford, L. Henostroza, G. Krapp, F. Zamudio, C. Heymann, S. J. Kaufman, J. S. Ciampi, A. Seas, C. Gotuzzo, E. Brewer, T. F. |
| description | SETTING: Peru reports among the highest multidrug-resistant tuberculosis (MDR-TB) rates in the Americas, with a growing proportion in previously untreated tuberculosis (TB) cases. The identification of clusters of primary MDR-TB compared with drug-susceptible TB (DS-TB) could help prioritize
interventions.OBJECTIVE: To examine the clustering of primary MDR-TB case residences and their proximity to high-risk locations in San Juan de Lurigancho District, Lima, Peru.DESIGN: Enrolled primary MDR-TB and primary DS-TB cases were interviewed and their primary residence was recorded
using handheld Global Positioning System devices. Kuldorff's spatial scan statistic was used for cluster detection (SaTScanTM, v. 9.1.1). Identified clusters were visualized in Quantum Geographic Information Systems software (v1.8.0). The following cluster centers were tested: a
health centre with the highest TB and MDR-TB rates (Clinic X), a hospital and two prisons. Using regression analyses, we examined predictors of primary MDR-TB cases.RESULTS: A statistically significant cluster of primary MDR-TB cases was identified within a 2.29 km radius around Clinic
X. Proximity to Clinic X remained a significant predictor of primary MDR-TB in adjusted regression analyses.CONCLUSION: We identified a hotspot of primary MDR-TB cases around Clinic X in a TB-endemic area. Causes of this clustering require investigation; targeted interventions for this high-risk area should be considered. |
| doi_str_mv | 10.5588/ijtld.14.0011 |
| format | Article |
| fullrecord | <record><control><sourceid>pubtec_pasca</sourceid><recordid>TN_cdi_pascalfrancis_primary_28880471</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ingid>iuatld/ijtld/2014/00000018/00000011/art00009</ingid><sourcerecordid>iuatld/ijtld/2014/00000018/00000011/art00009</sourcerecordid><originalsourceid>FETCH-LOGICAL-c530t-5934d3434161957be069f805a1ff67c8bc6982ad60762cdda7c17e7161e982d33</originalsourceid><addsrcrecordid>eNqNkc-L1DAUx4so7rp69Cq9CB7smJc2TXKUXV2FARX0HN4k6WyGNh3zQ9C_3nQ6qyfBXPISPnxe8r5V9RzIhjEh3rhDGs0Gug0hAA-qSxDAGi4peVhqQnnTcpAX1ZMYD4RQAOCPqwvKqJSip5fV3a2d9wGPd07Xx2CN02kOsZ6HcnIThp_1lMfkTMj7JtjoYkKf6pR3Nug8zuWi1hhtrJ2v0dfWGzsVFQaLi2RbHK_rzzbkp9WjAcdon533q-rb-3dfrz8020-3H6_fbhvNWpIaJtvOtF3bQQ-S8Z0lvRwEYQjD0HMtdrqXgqLpCe-pNga5Bm55oW25N217Vb1avccwf882JjW5qO04ordzjgr6VkrJup78BwpLF8FpQZsV1WGOMdhBncejgKglB3XKQUGnlhwK_-KszrvJmj_0_eAL8PIMYNQ4DgG9dvEvJ4QgHV9EX1bO-b31CdVhzsGXASqnlct4alpiXlJWP0B4AEVLzkRQVl7DhDJ2wBKhShjU_peKsjhv_uVchetfKDn9Zlkg7gtQGNJSyfY3YZzCGQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1610762872</pqid></control><display><type>article</type><title>Geographic predictors of primary multidrug-resistant tuberculosis cases in an endemic area of Lima, Peru</title><source>MEDLINE</source><source>Alma/SFX Local Collection</source><creator>Shah, L. ; Choi, H. W. ; Berrang-Ford, L. ; Henostroza, G. ; Krapp, F. ; Zamudio, C. ; Heymann, S. J. ; Kaufman, J. S. ; Ciampi, A. ; Seas, C. ; Gotuzzo, E. ; Brewer, T. F.</creator><creatorcontrib>Shah, L. ; Choi, H. W. ; Berrang-Ford, L. ; Henostroza, G. ; Krapp, F. ; Zamudio, C. ; Heymann, S. J. ; Kaufman, J. S. ; Ciampi, A. ; Seas, C. ; Gotuzzo, E. ; Brewer, T. F.</creatorcontrib><description>SETTING: Peru reports among the highest multidrug-resistant tuberculosis (MDR-TB) rates in the Americas, with a growing proportion in previously untreated tuberculosis (TB) cases. The identification of clusters of primary MDR-TB compared with drug-susceptible TB (DS-TB) could help prioritize
interventions.OBJECTIVE: To examine the clustering of primary MDR-TB case residences and their proximity to high-risk locations in San Juan de Lurigancho District, Lima, Peru.DESIGN: Enrolled primary MDR-TB and primary DS-TB cases were interviewed and their primary residence was recorded
using handheld Global Positioning System devices. Kuldorff's spatial scan statistic was used for cluster detection (SaTScanTM, v. 9.1.1). Identified clusters were visualized in Quantum Geographic Information Systems software (v1.8.0). The following cluster centers were tested: a
health centre with the highest TB and MDR-TB rates (Clinic X), a hospital and two prisons. Using regression analyses, we examined predictors of primary MDR-TB cases.RESULTS: A statistically significant cluster of primary MDR-TB cases was identified within a 2.29 km radius around Clinic
X. Proximity to Clinic X remained a significant predictor of primary MDR-TB in adjusted regression analyses.CONCLUSION: We identified a hotspot of primary MDR-TB cases around Clinic X in a TB-endemic area. Causes of this clustering require investigation; targeted interventions for this high-risk area should be considered.</description><identifier>ISSN: 1027-3719</identifier><identifier>EISSN: 1815-7920</identifier><identifier>DOI: 10.5588/ijtld.14.0011</identifier><identifier>PMID: 25299862</identifier><language>eng</language><publisher>Paris: International Union Against Tuberculosis and Lung Disease</publisher><subject>Adolescent ; Adult ; Aged ; Bacterial diseases ; Biological and medical sciences ; Cluster Analysis ; Clusters ; Female ; Geographic Information Systems ; High Risk ; Hotspot ; Human bacterial diseases ; Humans ; Infectious diseases ; Male ; Medical sciences ; Middle Aged ; Mycobacterium ; Mycobacterium tuberculosis - isolation & purification ; Peru - epidemiology ; Pneumology ; Regression Analysis ; Spatial ; Tuberculosis and atypical mycobacterial infections ; Tuberculosis, Multidrug-Resistant - epidemiology ; Tuberculosis, Multidrug-Resistant - microbiology ; Urban ; Young Adult</subject><ispartof>The international journal of tuberculosis and lung disease, 2014-11, Vol.18 (11), p.1307-1314</ispartof><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c530t-5934d3434161957be069f805a1ff67c8bc6982ad60762cdda7c17e7161e982d33</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,27931,27932</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28880471$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25299862$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shah, L.</creatorcontrib><creatorcontrib>Choi, H. W.</creatorcontrib><creatorcontrib>Berrang-Ford, L.</creatorcontrib><creatorcontrib>Henostroza, G.</creatorcontrib><creatorcontrib>Krapp, F.</creatorcontrib><creatorcontrib>Zamudio, C.</creatorcontrib><creatorcontrib>Heymann, S. J.</creatorcontrib><creatorcontrib>Kaufman, J. S.</creatorcontrib><creatorcontrib>Ciampi, A.</creatorcontrib><creatorcontrib>Seas, C.</creatorcontrib><creatorcontrib>Gotuzzo, E.</creatorcontrib><creatorcontrib>Brewer, T. F.</creatorcontrib><title>Geographic predictors of primary multidrug-resistant tuberculosis cases in an endemic area of Lima, Peru</title><title>The international journal of tuberculosis and lung disease</title><addtitle>Int J Tuberc Lung Dis</addtitle><description>SETTING: Peru reports among the highest multidrug-resistant tuberculosis (MDR-TB) rates in the Americas, with a growing proportion in previously untreated tuberculosis (TB) cases. The identification of clusters of primary MDR-TB compared with drug-susceptible TB (DS-TB) could help prioritize
interventions.OBJECTIVE: To examine the clustering of primary MDR-TB case residences and their proximity to high-risk locations in San Juan de Lurigancho District, Lima, Peru.DESIGN: Enrolled primary MDR-TB and primary DS-TB cases were interviewed and their primary residence was recorded
using handheld Global Positioning System devices. Kuldorff's spatial scan statistic was used for cluster detection (SaTScanTM, v. 9.1.1). Identified clusters were visualized in Quantum Geographic Information Systems software (v1.8.0). The following cluster centers were tested: a
health centre with the highest TB and MDR-TB rates (Clinic X), a hospital and two prisons. Using regression analyses, we examined predictors of primary MDR-TB cases.RESULTS: A statistically significant cluster of primary MDR-TB cases was identified within a 2.29 km radius around Clinic
X. Proximity to Clinic X remained a significant predictor of primary MDR-TB in adjusted regression analyses.CONCLUSION: We identified a hotspot of primary MDR-TB cases around Clinic X in a TB-endemic area. Causes of this clustering require investigation; targeted interventions for this high-risk area should be considered.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Bacterial diseases</subject><subject>Biological and medical sciences</subject><subject>Cluster Analysis</subject><subject>Clusters</subject><subject>Female</subject><subject>Geographic Information Systems</subject><subject>High Risk</subject><subject>Hotspot</subject><subject>Human bacterial diseases</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Mycobacterium</subject><subject>Mycobacterium tuberculosis - isolation & purification</subject><subject>Peru - epidemiology</subject><subject>Pneumology</subject><subject>Regression Analysis</subject><subject>Spatial</subject><subject>Tuberculosis and atypical mycobacterial infections</subject><subject>Tuberculosis, Multidrug-Resistant - epidemiology</subject><subject>Tuberculosis, Multidrug-Resistant - microbiology</subject><subject>Urban</subject><subject>Young Adult</subject><issn>1027-3719</issn><issn>1815-7920</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkc-L1DAUx4so7rp69Cq9CB7smJc2TXKUXV2FARX0HN4k6WyGNh3zQ9C_3nQ6qyfBXPISPnxe8r5V9RzIhjEh3rhDGs0Gug0hAA-qSxDAGi4peVhqQnnTcpAX1ZMYD4RQAOCPqwvKqJSip5fV3a2d9wGPd07Xx2CN02kOsZ6HcnIThp_1lMfkTMj7JtjoYkKf6pR3Nug8zuWi1hhtrJ2v0dfWGzsVFQaLi2RbHK_rzzbkp9WjAcdon533q-rb-3dfrz8020-3H6_fbhvNWpIaJtvOtF3bQQ-S8Z0lvRwEYQjD0HMtdrqXgqLpCe-pNga5Bm55oW25N217Vb1avccwf882JjW5qO04ordzjgr6VkrJup78BwpLF8FpQZsV1WGOMdhBncejgKglB3XKQUGnlhwK_-KszrvJmj_0_eAL8PIMYNQ4DgG9dvEvJ4QgHV9EX1bO-b31CdVhzsGXASqnlct4alpiXlJWP0B4AEVLzkRQVl7DhDJ2wBKhShjU_peKsjhv_uVchetfKDn9Zlkg7gtQGNJSyfY3YZzCGQ</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Shah, L.</creator><creator>Choi, H. W.</creator><creator>Berrang-Ford, L.</creator><creator>Henostroza, G.</creator><creator>Krapp, F.</creator><creator>Zamudio, C.</creator><creator>Heymann, S. J.</creator><creator>Kaufman, J. S.</creator><creator>Ciampi, A.</creator><creator>Seas, C.</creator><creator>Gotuzzo, E.</creator><creator>Brewer, T. F.</creator><general>International Union Against Tuberculosis and Lung Disease</general><general>International Union against Tuberculosis and Lung Disease</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>7X8</scope><scope>7QL</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope></search><sort><creationdate>20141101</creationdate><title>Geographic predictors of primary multidrug-resistant tuberculosis cases in an endemic area of Lima, Peru</title><author>Shah, L. ; Choi, H. W. ; Berrang-Ford, L. ; Henostroza, G. ; Krapp, F. ; Zamudio, C. ; Heymann, S. J. ; Kaufman, J. S. ; Ciampi, A. ; Seas, C. ; Gotuzzo, E. ; Brewer, T. F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c530t-5934d3434161957be069f805a1ff67c8bc6982ad60762cdda7c17e7161e982d33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Bacterial diseases</topic><topic>Biological and medical sciences</topic><topic>Cluster Analysis</topic><topic>Clusters</topic><topic>Female</topic><topic>Geographic Information Systems</topic><topic>High Risk</topic><topic>Hotspot</topic><topic>Human bacterial diseases</topic><topic>Humans</topic><topic>Infectious diseases</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Mycobacterium</topic><topic>Mycobacterium tuberculosis - isolation & purification</topic><topic>Peru - epidemiology</topic><topic>Pneumology</topic><topic>Regression Analysis</topic><topic>Spatial</topic><topic>Tuberculosis and atypical mycobacterial infections</topic><topic>Tuberculosis, Multidrug-Resistant - epidemiology</topic><topic>Tuberculosis, Multidrug-Resistant - microbiology</topic><topic>Urban</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shah, L.</creatorcontrib><creatorcontrib>Choi, H. W.</creatorcontrib><creatorcontrib>Berrang-Ford, L.</creatorcontrib><creatorcontrib>Henostroza, G.</creatorcontrib><creatorcontrib>Krapp, F.</creatorcontrib><creatorcontrib>Zamudio, C.</creatorcontrib><creatorcontrib>Heymann, S. J.</creatorcontrib><creatorcontrib>Kaufman, J. S.</creatorcontrib><creatorcontrib>Ciampi, A.</creatorcontrib><creatorcontrib>Seas, C.</creatorcontrib><creatorcontrib>Gotuzzo, E.</creatorcontrib><creatorcontrib>Brewer, T. F.</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>MEDLINE - Academic</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>The international journal of tuberculosis and lung disease</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shah, L.</au><au>Choi, H. W.</au><au>Berrang-Ford, L.</au><au>Henostroza, G.</au><au>Krapp, F.</au><au>Zamudio, C.</au><au>Heymann, S. J.</au><au>Kaufman, J. S.</au><au>Ciampi, A.</au><au>Seas, C.</au><au>Gotuzzo, E.</au><au>Brewer, T. F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geographic predictors of primary multidrug-resistant tuberculosis cases in an endemic area of Lima, Peru</atitle><jtitle>The international journal of tuberculosis and lung disease</jtitle><addtitle>Int J Tuberc Lung Dis</addtitle><date>2014-11-01</date><risdate>2014</risdate><volume>18</volume><issue>11</issue><spage>1307</spage><epage>1314</epage><pages>1307-1314</pages><issn>1027-3719</issn><eissn>1815-7920</eissn><abstract>SETTING: Peru reports among the highest multidrug-resistant tuberculosis (MDR-TB) rates in the Americas, with a growing proportion in previously untreated tuberculosis (TB) cases. The identification of clusters of primary MDR-TB compared with drug-susceptible TB (DS-TB) could help prioritize
interventions.OBJECTIVE: To examine the clustering of primary MDR-TB case residences and their proximity to high-risk locations in San Juan de Lurigancho District, Lima, Peru.DESIGN: Enrolled primary MDR-TB and primary DS-TB cases were interviewed and their primary residence was recorded
using handheld Global Positioning System devices. Kuldorff's spatial scan statistic was used for cluster detection (SaTScanTM, v. 9.1.1). Identified clusters were visualized in Quantum Geographic Information Systems software (v1.8.0). The following cluster centers were tested: a
health centre with the highest TB and MDR-TB rates (Clinic X), a hospital and two prisons. Using regression analyses, we examined predictors of primary MDR-TB cases.RESULTS: A statistically significant cluster of primary MDR-TB cases was identified within a 2.29 km radius around Clinic
X. Proximity to Clinic X remained a significant predictor of primary MDR-TB in adjusted regression analyses.CONCLUSION: We identified a hotspot of primary MDR-TB cases around Clinic X in a TB-endemic area. Causes of this clustering require investigation; targeted interventions for this high-risk area should be considered.</abstract><cop>Paris</cop><pub>International Union Against Tuberculosis and Lung Disease</pub><pmid>25299862</pmid><doi>10.5588/ijtld.14.0011</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adult Aged Bacterial diseases Biological and medical sciences Cluster Analysis Clusters Female Geographic Information Systems High Risk Hotspot Human bacterial diseases Humans Infectious diseases Male Medical sciences Middle Aged Mycobacterium Mycobacterium tuberculosis - isolation & purification Peru - epidemiology Pneumology Regression Analysis Spatial Tuberculosis and atypical mycobacterial infections Tuberculosis, Multidrug-Resistant - epidemiology Tuberculosis, Multidrug-Resistant - microbiology Urban Young Adult |
| title | Geographic predictors of primary multidrug-resistant tuberculosis cases in an endemic area of Lima, Peru |
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