Spatial analysis of tuberculosis in Douala, Cameroon: clustering and links with socio-economic status
SETTING: Douala, the economic capital of Cameroon, with a network of 20 diagnostic and treatment centres for tuberculosis (TB).OBJECTIVE: To describe the spatial distribution of smear-positive pulmonary tuberculosis (PTB) cases in Douala, Cameroon, and to evaluate links between PTB incidence and pat...
Gespeichert in:
| Veröffentlicht in: | The international journal of tuberculosis and lung disease 2014-03, Vol.18 (3), p.292-297 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 297 |
|---|---|
| container_issue | 3 |
| container_start_page | 292 |
| container_title | The international journal of tuberculosis and lung disease |
| container_volume | 18 |
| creator | Nana Yakam, A. Noeske, J. Dambach, P. Bowong, S. Fono, L. A. Ngatchou-Wandji, J. |
| description | SETTING: Douala, the economic capital of Cameroon, with a network of 20 diagnostic and treatment centres for tuberculosis (TB).OBJECTIVE: To describe the spatial distribution of smear-positive pulmonary tuberculosis (PTB) cases in Douala, Cameroon, and to evaluate links between
PTB incidence and patients' socio-economic status (SES).DESIGN: Between May 2011 and April 2012, demographic clinical characteristics and global positioning system coordinates for the residence of each consenting PTB case were collected. Spatial scan statistic was used to identify spatial
clusters of tuberculosis. SES data were collected by interview during home visits. PTB patients' SES data were compared with those available for the whole urban population from a recent demographic and health survey. The correlation between PTB incidence and the mean SES of the PTB patients
was examined by health area (HA).RESULTS: In total, 2132 (84%) diagnosed PTB cases were identified and interviewed. Three statistically significant spatial clusters were identified. High PTB incidence was predominantly found in HAs characterised by low SES.CONCLUSION: There is evidence
of clustering of PTB cases in Douala. Clusters are mainly found in neighbourhoods of low SES. Systematic use of cluster detection techniques for regular TB surveillance in Cameroon might aid in the effective deployment of National TB Programme resources. |
| doi_str_mv | 10.5588/ijtld.13.0573 |
| format | Article |
| fullrecord | <record><control><sourceid>pubtec_pubme</sourceid><recordid>TN_cdi_pubmed_primary_24670564</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ingid>iuatld/ijtld/2014/00000018/00000003/art00009</ingid><sourcerecordid>iuatld/ijtld/2014/00000018/00000003/art00009</sourcerecordid><originalsourceid>FETCH-LOGICAL-c524t-92a8bf1bddefe2df9a3eaa21f44e35e798ab4d3d7565b99de5f682d00abff6c3</originalsourceid><addsrcrecordid>eNqNks1v1DAQxSMEoqVw5IpyQQKJLB47Tmxu1RYo0kog0bs1cZzWizcu_igqfz1Od1tOSPjiZ-vnN2O9qaqXQFacC_HebpMbV8BWhPfsUXUMAnjTS0oeF01o37Ae5FH1LMYtIRQA-qfVEW27nvCuPa7M92tMFl2NM7rbaGPtpzrlwQSdnV_Odq7PfEaH7-o17kzwfv5Qa5djMsHOl-XhWDs7_4j1L5uu6ui19Y3RfvY7q-uYMOX4vHoyoYvmxWE_qS4-fbxYnzebr5-_rE83jea0TY2kKIYJhnE0k6HjJJEZRApT2xrGTS8FDu3Ixp53fJByNHzqBB0JwWGaOs1Oqrd72yt06jrYHYZb5dGq89ONWu4IUEEogxso7Js9ex38z2xiUjsbtXEOZ-NzVMDbQjJO5H-gAEz20HYFbfaoDj7GYKaHNoCoJS91l5cCppa8Cv_qYJ2HnRkf6PuACvD6AGDU6KaAs7bxLycolx0sRmd7rkRi5oRq63MokUZlMy4V93UpgVaRuwXiIAhTGNIilq9--5eNvndapmoZKnUDYmbFkgIpbShouVAlOcwuqYRBXf5WUbI_kWzQZQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1511397146</pqid></control><display><type>article</type><title>Spatial analysis of tuberculosis in Douala, Cameroon: clustering and links with socio-economic status</title><source>MEDLINE</source><source>Alma/SFX Local Collection</source><creator>Nana Yakam, A. ; Noeske, J. ; Dambach, P. ; Bowong, S. ; Fono, L. A. ; Ngatchou-Wandji, J.</creator><creatorcontrib>Nana Yakam, A. ; Noeske, J. ; Dambach, P. ; Bowong, S. ; Fono, L. A. ; Ngatchou-Wandji, J.</creatorcontrib><description>SETTING: Douala, the economic capital of Cameroon, with a network of 20 diagnostic and treatment centres for tuberculosis (TB).OBJECTIVE: To describe the spatial distribution of smear-positive pulmonary tuberculosis (PTB) cases in Douala, Cameroon, and to evaluate links between
PTB incidence and patients' socio-economic status (SES).DESIGN: Between May 2011 and April 2012, demographic clinical characteristics and global positioning system coordinates for the residence of each consenting PTB case were collected. Spatial scan statistic was used to identify spatial
clusters of tuberculosis. SES data were collected by interview during home visits. PTB patients' SES data were compared with those available for the whole urban population from a recent demographic and health survey. The correlation between PTB incidence and the mean SES of the PTB patients
was examined by health area (HA).RESULTS: In total, 2132 (84%) diagnosed PTB cases were identified and interviewed. Three statistically significant spatial clusters were identified. High PTB incidence was predominantly found in HAs characterised by low SES.CONCLUSION: There is evidence
of clustering of PTB cases in Douala. Clusters are mainly found in neighbourhoods of low SES. Systematic use of cluster detection techniques for regular TB surveillance in Cameroon might aid in the effective deployment of National TB Programme resources.</description><identifier>ISSN: 1027-3719</identifier><identifier>EISSN: 1815-7920</identifier><identifier>DOI: 10.5588/ijtld.13.0573</identifier><identifier>PMID: 24670564</identifier><language>eng</language><publisher>Paris, France: International Union Against Tuberculosis and Lung Disease</publisher><subject>Applications ; Bacterial diseases ; Bacterial diseases of the respiratory system ; Bacteriological Techniques ; Biological and medical sciences ; Cameroon ; Cameroon - epidemiology ; Cluster Analysis ; Douala ; Human bacterial diseases ; Humans ; Incidence ; Infectious diseases ; Medical sciences ; Mycobacterium ; Mycobacterium tuberculosis - isolation & purification ; Pneumology ; Predictive Value of Tests ; Prospective Studies ; Pulmonary Tb ; Residence Characteristics ; Social Class ; Socio-Economic Status ; Spatial Analysis ; Sputum - microbiology ; Statistics ; Tuberculosis and atypical mycobacterial infections ; Tuberculosis, Pulmonary - diagnosis ; Tuberculosis, Pulmonary - economics ; Tuberculosis, Pulmonary - epidemiology ; Tuberculosis, Pulmonary - microbiology ; Tuberculosis, Pulmonary - transmission ; Urban Health - economics</subject><ispartof>The international journal of tuberculosis and lung disease, 2014-03, Vol.18 (3), p.292-297</ispartof><rights>2015 INIST-CNRS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c524t-92a8bf1bddefe2df9a3eaa21f44e35e798ab4d3d7565b99de5f682d00abff6c3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28259613$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24670564$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01280231$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Nana Yakam, A.</creatorcontrib><creatorcontrib>Noeske, J.</creatorcontrib><creatorcontrib>Dambach, P.</creatorcontrib><creatorcontrib>Bowong, S.</creatorcontrib><creatorcontrib>Fono, L. A.</creatorcontrib><creatorcontrib>Ngatchou-Wandji, J.</creatorcontrib><title>Spatial analysis of tuberculosis in Douala, Cameroon: clustering and links with socio-economic status</title><title>The international journal of tuberculosis and lung disease</title><addtitle>Int J Tuberc Lung Dis</addtitle><description>SETTING: Douala, the economic capital of Cameroon, with a network of 20 diagnostic and treatment centres for tuberculosis (TB).OBJECTIVE: To describe the spatial distribution of smear-positive pulmonary tuberculosis (PTB) cases in Douala, Cameroon, and to evaluate links between
PTB incidence and patients' socio-economic status (SES).DESIGN: Between May 2011 and April 2012, demographic clinical characteristics and global positioning system coordinates for the residence of each consenting PTB case were collected. Spatial scan statistic was used to identify spatial
clusters of tuberculosis. SES data were collected by interview during home visits. PTB patients' SES data were compared with those available for the whole urban population from a recent demographic and health survey. The correlation between PTB incidence and the mean SES of the PTB patients
was examined by health area (HA).RESULTS: In total, 2132 (84%) diagnosed PTB cases were identified and interviewed. Three statistically significant spatial clusters were identified. High PTB incidence was predominantly found in HAs characterised by low SES.CONCLUSION: There is evidence
of clustering of PTB cases in Douala. Clusters are mainly found in neighbourhoods of low SES. Systematic use of cluster detection techniques for regular TB surveillance in Cameroon might aid in the effective deployment of National TB Programme resources.</description><subject>Applications</subject><subject>Bacterial diseases</subject><subject>Bacterial diseases of the respiratory system</subject><subject>Bacteriological Techniques</subject><subject>Biological and medical sciences</subject><subject>Cameroon</subject><subject>Cameroon - epidemiology</subject><subject>Cluster Analysis</subject><subject>Douala</subject><subject>Human bacterial diseases</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infectious diseases</subject><subject>Medical sciences</subject><subject>Mycobacterium</subject><subject>Mycobacterium tuberculosis - isolation & purification</subject><subject>Pneumology</subject><subject>Predictive Value of Tests</subject><subject>Prospective Studies</subject><subject>Pulmonary Tb</subject><subject>Residence Characteristics</subject><subject>Social Class</subject><subject>Socio-Economic Status</subject><subject>Spatial Analysis</subject><subject>Sputum - microbiology</subject><subject>Statistics</subject><subject>Tuberculosis and atypical mycobacterial infections</subject><subject>Tuberculosis, Pulmonary - diagnosis</subject><subject>Tuberculosis, Pulmonary - economics</subject><subject>Tuberculosis, Pulmonary - epidemiology</subject><subject>Tuberculosis, Pulmonary - microbiology</subject><subject>Tuberculosis, Pulmonary - transmission</subject><subject>Urban Health - economics</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>eNqNks1v1DAQxSMEoqVw5IpyQQKJLB47Tmxu1RYo0kog0bs1cZzWizcu_igqfz1Od1tOSPjiZ-vnN2O9qaqXQFacC_HebpMbV8BWhPfsUXUMAnjTS0oeF01o37Ae5FH1LMYtIRQA-qfVEW27nvCuPa7M92tMFl2NM7rbaGPtpzrlwQSdnV_Odq7PfEaH7-o17kzwfv5Qa5djMsHOl-XhWDs7_4j1L5uu6ui19Y3RfvY7q-uYMOX4vHoyoYvmxWE_qS4-fbxYnzebr5-_rE83jea0TY2kKIYJhnE0k6HjJJEZRApT2xrGTS8FDu3Ixp53fJByNHzqBB0JwWGaOs1Oqrd72yt06jrYHYZb5dGq89ONWu4IUEEogxso7Js9ex38z2xiUjsbtXEOZ-NzVMDbQjJO5H-gAEz20HYFbfaoDj7GYKaHNoCoJS91l5cCppa8Cv_qYJ2HnRkf6PuACvD6AGDU6KaAs7bxLycolx0sRmd7rkRi5oRq63MokUZlMy4V93UpgVaRuwXiIAhTGNIilq9--5eNvndapmoZKnUDYmbFkgIpbShouVAlOcwuqYRBXf5WUbI_kWzQZQ</recordid><startdate>20140301</startdate><enddate>20140301</enddate><creator>Nana Yakam, A.</creator><creator>Noeske, J.</creator><creator>Dambach, P.</creator><creator>Bowong, S.</creator><creator>Fono, L. A.</creator><creator>Ngatchou-Wandji, J.</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>C1K</scope><scope>1XC</scope></search><sort><creationdate>20140301</creationdate><title>Spatial analysis of tuberculosis in Douala, Cameroon: clustering and links with socio-economic status</title><author>Nana Yakam, A. ; Noeske, J. ; Dambach, P. ; Bowong, S. ; Fono, L. A. ; Ngatchou-Wandji, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c524t-92a8bf1bddefe2df9a3eaa21f44e35e798ab4d3d7565b99de5f682d00abff6c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applications</topic><topic>Bacterial diseases</topic><topic>Bacterial diseases of the respiratory system</topic><topic>Bacteriological Techniques</topic><topic>Biological and medical sciences</topic><topic>Cameroon</topic><topic>Cameroon - epidemiology</topic><topic>Cluster Analysis</topic><topic>Douala</topic><topic>Human bacterial diseases</topic><topic>Humans</topic><topic>Incidence</topic><topic>Infectious diseases</topic><topic>Medical sciences</topic><topic>Mycobacterium</topic><topic>Mycobacterium tuberculosis - isolation & purification</topic><topic>Pneumology</topic><topic>Predictive Value of Tests</topic><topic>Prospective Studies</topic><topic>Pulmonary Tb</topic><topic>Residence Characteristics</topic><topic>Social Class</topic><topic>Socio-Economic Status</topic><topic>Spatial Analysis</topic><topic>Sputum - microbiology</topic><topic>Statistics</topic><topic>Tuberculosis and atypical mycobacterial infections</topic><topic>Tuberculosis, Pulmonary - diagnosis</topic><topic>Tuberculosis, Pulmonary - economics</topic><topic>Tuberculosis, Pulmonary - epidemiology</topic><topic>Tuberculosis, Pulmonary - microbiology</topic><topic>Tuberculosis, Pulmonary - transmission</topic><topic>Urban Health - economics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nana Yakam, A.</creatorcontrib><creatorcontrib>Noeske, J.</creatorcontrib><creatorcontrib>Dambach, P.</creatorcontrib><creatorcontrib>Bowong, S.</creatorcontrib><creatorcontrib>Fono, L. A.</creatorcontrib><creatorcontrib>Ngatchou-Wandji, J.</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>Environmental Sciences and Pollution Management</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>The international journal of tuberculosis and lung disease</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nana Yakam, A.</au><au>Noeske, J.</au><au>Dambach, P.</au><au>Bowong, S.</au><au>Fono, L. A.</au><au>Ngatchou-Wandji, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial analysis of tuberculosis in Douala, Cameroon: clustering and links with socio-economic status</atitle><jtitle>The international journal of tuberculosis and lung disease</jtitle><addtitle>Int J Tuberc Lung Dis</addtitle><date>2014-03-01</date><risdate>2014</risdate><volume>18</volume><issue>3</issue><spage>292</spage><epage>297</epage><pages>292-297</pages><issn>1027-3719</issn><eissn>1815-7920</eissn><abstract>SETTING: Douala, the economic capital of Cameroon, with a network of 20 diagnostic and treatment centres for tuberculosis (TB).OBJECTIVE: To describe the spatial distribution of smear-positive pulmonary tuberculosis (PTB) cases in Douala, Cameroon, and to evaluate links between
PTB incidence and patients' socio-economic status (SES).DESIGN: Between May 2011 and April 2012, demographic clinical characteristics and global positioning system coordinates for the residence of each consenting PTB case were collected. Spatial scan statistic was used to identify spatial
clusters of tuberculosis. SES data were collected by interview during home visits. PTB patients' SES data were compared with those available for the whole urban population from a recent demographic and health survey. The correlation between PTB incidence and the mean SES of the PTB patients
was examined by health area (HA).RESULTS: In total, 2132 (84%) diagnosed PTB cases were identified and interviewed. Three statistically significant spatial clusters were identified. High PTB incidence was predominantly found in HAs characterised by low SES.CONCLUSION: There is evidence
of clustering of PTB cases in Douala. Clusters are mainly found in neighbourhoods of low SES. Systematic use of cluster detection techniques for regular TB surveillance in Cameroon might aid in the effective deployment of National TB Programme resources.</abstract><cop>Paris, France</cop><pub>International Union Against Tuberculosis and Lung Disease</pub><pmid>24670564</pmid><doi>10.5588/ijtld.13.0573</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1027-3719 |
| ispartof | The international journal of tuberculosis and lung disease, 2014-03, Vol.18 (3), p.292-297 |
| issn | 1027-3719 1815-7920 |
| language | eng |
| recordid | cdi_pubmed_primary_24670564 |
| source | MEDLINE; Alma/SFX Local Collection |
| subjects | Applications Bacterial diseases Bacterial diseases of the respiratory system Bacteriological Techniques Biological and medical sciences Cameroon Cameroon - epidemiology Cluster Analysis Douala Human bacterial diseases Humans Incidence Infectious diseases Medical sciences Mycobacterium Mycobacterium tuberculosis - isolation & purification Pneumology Predictive Value of Tests Prospective Studies Pulmonary Tb Residence Characteristics Social Class Socio-Economic Status Spatial Analysis Sputum - microbiology Statistics Tuberculosis and atypical mycobacterial infections Tuberculosis, Pulmonary - diagnosis Tuberculosis, Pulmonary - economics Tuberculosis, Pulmonary - epidemiology Tuberculosis, Pulmonary - microbiology Tuberculosis, Pulmonary - transmission Urban Health - economics |
| title | Spatial analysis of tuberculosis in Douala, Cameroon: clustering and links with socio-economic status |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T13%3A57%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pubtec_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatial%20analysis%20of%20tuberculosis%20in%20Douala,%20Cameroon:%20clustering%20and%20links%20with%20socio-economic%20status&rft.jtitle=The%20international%20journal%20of%20tuberculosis%20and%20lung%20disease&rft.au=Nana%20Yakam,%20A.&rft.date=2014-03-01&rft.volume=18&rft.issue=3&rft.spage=292&rft.epage=297&rft.pages=292-297&rft.issn=1027-3719&rft.eissn=1815-7920&rft_id=info:doi/10.5588/ijtld.13.0573&rft_dat=%3Cpubtec_pubme%3Eiuatld/ijtld/2014/00000018/00000003/art00009%3C/pubtec_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1511397146&rft_id=info:pmid/24670564&rft_ingid=iuatld/ijtld/2014/00000018/00000003/art00009&rfr_iscdi=true |