The second national anti‐tuberculosis drug resistance survey in Tanzania, 2017–2018

Objective To determine the levels and patterns of resistance to first‐ and second‐line anti‐tuberculosis (TB) drugs among new and previously treated sputum smear positive pulmonary TB (PTB) patients. Methods We conducted a nationally representative cross‐sectional facility‐based survey in June 2017–...

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Veröffentlicht in:Tropical medicine & international health 2022-10, Vol.27 (10), p.891-901
Hauptverfasser: Mutayoba, Beatrice Kemilembe, Ershova, Julia, Lyamuya, Eligius, Hoelscher, Michael, Heinrich, Norbert, Kilale, Andrew Martin, Range, Nyagosya Segere, Ngowi, Benard James, Ntinginya, Nyanda Elias, Mfaume, Saidi Mwinjuma, Nkiligi, Emmanuel, Doulla, Basra, Lyimo, Johnson, Kisonga, Riziki, Kingalu, Amri, Lema, Yakobo, Kondo, Zuwena, Pletschette, Michel
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container_issue 10
container_start_page 891
container_title Tropical medicine & international health
container_volume 27
creator Mutayoba, Beatrice Kemilembe
Ershova, Julia
Lyamuya, Eligius
Hoelscher, Michael
Heinrich, Norbert
Kilale, Andrew Martin
Range, Nyagosya Segere
Ngowi, Benard James
Ntinginya, Nyanda Elias
Mfaume, Saidi Mwinjuma
Nkiligi, Emmanuel
Doulla, Basra
Lyimo, Johnson
Kisonga, Riziki
Kingalu, Amri
Lema, Yakobo
Kondo, Zuwena
Pletschette, Michel
description Objective To determine the levels and patterns of resistance to first‐ and second‐line anti‐tuberculosis (TB) drugs among new and previously treated sputum smear positive pulmonary TB (PTB) patients. Methods We conducted a nationally representative cross‐sectional facility‐based survey in June 2017–July 2018 involving 45 clusters selected based on probability proportional to size. The survey aimed to determine the prevalence of anti‐TB drug resistance and associated risk factors among smear positive PTB patients in Tanzania. Sputum samples were examined using smear microscopy, Xpert MTB/RIF, culture and drug susceptibility testing (DST). Logistic regression was used to account for missing data and sampling design effects on the estimates and their standard errors. Results We enrolled 1557 TB patients, including 1408 (90.4%) newly diagnosed and 149 (9.6%) previously treated patients. The prevalence of multidrug‐resistant TB (MDR‐TB) was 0.85% [95% confidence interval (CI): 0.4–1.3] among new cases and 4.6% (95% CI: 1.1–8.2) among previously treated cases. The prevalence of Mycobacterium tuberculosis strains resistant to any of the four first‐line anti‐TB drugs (isoniazid, rifampicin, streptomycin and ethambutol) was 1.7% among new TB patients and 6.5% among those previously treated. Drug resistance to all first‐line drugs was similar (0.1%) in new and previously treated patients. None of the isolates displayed poly‐resistance or extensively drug‐resistant TB (XDR‐TB). The only risk factor for MDR‐TB was history of previous TB treatment (odds ratio = 5.7, 95% CI: 1.9–17.2). Conclusion The burden of MDR‐TB in the country was relatively low with no evidence of XDR‐TB. Given the overall small number of MDR‐TB cases in this survey, it will be beneficial focusing efforts on intensified case detection including universal DST.
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Methods We conducted a nationally representative cross‐sectional facility‐based survey in June 2017–July 2018 involving 45 clusters selected based on probability proportional to size. The survey aimed to determine the prevalence of anti‐TB drug resistance and associated risk factors among smear positive PTB patients in Tanzania. Sputum samples were examined using smear microscopy, Xpert MTB/RIF, culture and drug susceptibility testing (DST). Logistic regression was used to account for missing data and sampling design effects on the estimates and their standard errors. Results We enrolled 1557 TB patients, including 1408 (90.4%) newly diagnosed and 149 (9.6%) previously treated patients. The prevalence of multidrug‐resistant TB (MDR‐TB) was 0.85% [95% confidence interval (CI): 0.4–1.3] among new cases and 4.6% (95% CI: 1.1–8.2) among previously treated cases. The prevalence of Mycobacterium tuberculosis strains resistant to any of the four first‐line anti‐TB drugs (isoniazid, rifampicin, streptomycin and ethambutol) was 1.7% among new TB patients and 6.5% among those previously treated. Drug resistance to all first‐line drugs was similar (0.1%) in new and previously treated patients. None of the isolates displayed poly‐resistance or extensively drug‐resistant TB (XDR‐TB). The only risk factor for MDR‐TB was history of previous TB treatment (odds ratio = 5.7, 95% CI: 1.9–17.2). Conclusion The burden of MDR‐TB in the country was relatively low with no evidence of XDR‐TB. Given the overall small number of MDR‐TB cases in this survey, it will be beneficial focusing efforts on intensified case detection including universal DST.</description><identifier>ISSN: 1360-2276</identifier><identifier>EISSN: 1365-3156</identifier><identifier>DOI: 10.1111/tmi.13814</identifier><identifier>PMID: 36089572</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Antitubercular Agents - pharmacology ; Antitubercular Agents - therapeutic use ; Confidence intervals ; Cross-Sectional Studies ; Drug resistance ; Drugs ; Ethambutol ; Extensively Drug-Resistant Tuberculosis - diagnosis ; Extensively Drug-Resistant Tuberculosis - drug therapy ; Extensively Drug-Resistant Tuberculosis - microbiology ; Humans ; Isoniazid ; Isoniazid - therapeutic use ; MDR‐TB ; Microbial Sensitivity Tests ; Missing data ; Multidrug resistance ; Mycobacterium tuberculosis ; Patients ; Polls &amp; surveys ; Resistance factors ; Rifampin ; Rifampin - therapeutic use ; Risk analysis ; Risk factors ; Sampling designs ; Sputum ; Statistical analysis ; Streptomycin ; Streptomycin - therapeutic use ; survey ; Surveys ; Tanzania ; Tanzania - epidemiology ; Tuberculosis ; Tuberculosis, Multidrug-Resistant - drug therapy ; Tuberculosis, Multidrug-Resistant - epidemiology ; Tuberculosis, Multidrug-Resistant - microbiology</subject><ispartof>Tropical medicine &amp; international health, 2022-10, Vol.27 (10), p.891-901</ispartof><rights>2022 The Authors Tropical Medicine &amp; International Health Published by John Wiley &amp; Sons Ltd.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4434-a0fb4d0edbe590355c2045d81de70b52e4f94577e48a5b301a9abe37d1b76ada3</citedby><cites>FETCH-LOGICAL-c4434-a0fb4d0edbe590355c2045d81de70b52e4f94577e48a5b301a9abe37d1b76ada3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Ftmi.13814$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Ftmi.13814$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,1417,1433,27924,27925,45574,45575,46409,46833</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36089572$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mutayoba, Beatrice Kemilembe</creatorcontrib><creatorcontrib>Ershova, Julia</creatorcontrib><creatorcontrib>Lyamuya, Eligius</creatorcontrib><creatorcontrib>Hoelscher, Michael</creatorcontrib><creatorcontrib>Heinrich, Norbert</creatorcontrib><creatorcontrib>Kilale, Andrew Martin</creatorcontrib><creatorcontrib>Range, Nyagosya Segere</creatorcontrib><creatorcontrib>Ngowi, Benard James</creatorcontrib><creatorcontrib>Ntinginya, Nyanda Elias</creatorcontrib><creatorcontrib>Mfaume, Saidi Mwinjuma</creatorcontrib><creatorcontrib>Nkiligi, Emmanuel</creatorcontrib><creatorcontrib>Doulla, Basra</creatorcontrib><creatorcontrib>Lyimo, Johnson</creatorcontrib><creatorcontrib>Kisonga, Riziki</creatorcontrib><creatorcontrib>Kingalu, Amri</creatorcontrib><creatorcontrib>Lema, Yakobo</creatorcontrib><creatorcontrib>Kondo, Zuwena</creatorcontrib><creatorcontrib>Pletschette, Michel</creatorcontrib><title>The second national anti‐tuberculosis drug resistance survey in Tanzania, 2017–2018</title><title>Tropical medicine &amp; international health</title><addtitle>Trop Med Int Health</addtitle><description>Objective To determine the levels and patterns of resistance to first‐ and second‐line anti‐tuberculosis (TB) drugs among new and previously treated sputum smear positive pulmonary TB (PTB) patients. Methods We conducted a nationally representative cross‐sectional facility‐based survey in June 2017–July 2018 involving 45 clusters selected based on probability proportional to size. The survey aimed to determine the prevalence of anti‐TB drug resistance and associated risk factors among smear positive PTB patients in Tanzania. Sputum samples were examined using smear microscopy, Xpert MTB/RIF, culture and drug susceptibility testing (DST). Logistic regression was used to account for missing data and sampling design effects on the estimates and their standard errors. Results We enrolled 1557 TB patients, including 1408 (90.4%) newly diagnosed and 149 (9.6%) previously treated patients. The prevalence of multidrug‐resistant TB (MDR‐TB) was 0.85% [95% confidence interval (CI): 0.4–1.3] among new cases and 4.6% (95% CI: 1.1–8.2) among previously treated cases. The prevalence of Mycobacterium tuberculosis strains resistant to any of the four first‐line anti‐TB drugs (isoniazid, rifampicin, streptomycin and ethambutol) was 1.7% among new TB patients and 6.5% among those previously treated. Drug resistance to all first‐line drugs was similar (0.1%) in new and previously treated patients. None of the isolates displayed poly‐resistance or extensively drug‐resistant TB (XDR‐TB). The only risk factor for MDR‐TB was history of previous TB treatment (odds ratio = 5.7, 95% CI: 1.9–17.2). Conclusion The burden of MDR‐TB in the country was relatively low with no evidence of XDR‐TB. Given the overall small number of MDR‐TB cases in this survey, it will be beneficial focusing efforts on intensified case detection including universal DST.</description><subject>Antitubercular Agents - pharmacology</subject><subject>Antitubercular Agents - therapeutic use</subject><subject>Confidence intervals</subject><subject>Cross-Sectional Studies</subject><subject>Drug resistance</subject><subject>Drugs</subject><subject>Ethambutol</subject><subject>Extensively Drug-Resistant Tuberculosis - diagnosis</subject><subject>Extensively Drug-Resistant Tuberculosis - drug therapy</subject><subject>Extensively Drug-Resistant Tuberculosis - microbiology</subject><subject>Humans</subject><subject>Isoniazid</subject><subject>Isoniazid - therapeutic use</subject><subject>MDR‐TB</subject><subject>Microbial Sensitivity Tests</subject><subject>Missing data</subject><subject>Multidrug resistance</subject><subject>Mycobacterium tuberculosis</subject><subject>Patients</subject><subject>Polls &amp; surveys</subject><subject>Resistance factors</subject><subject>Rifampin</subject><subject>Rifampin - therapeutic use</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Sampling designs</subject><subject>Sputum</subject><subject>Statistical analysis</subject><subject>Streptomycin</subject><subject>Streptomycin - therapeutic use</subject><subject>survey</subject><subject>Surveys</subject><subject>Tanzania</subject><subject>Tanzania - epidemiology</subject><subject>Tuberculosis</subject><subject>Tuberculosis, Multidrug-Resistant - drug therapy</subject><subject>Tuberculosis, Multidrug-Resistant - epidemiology</subject><subject>Tuberculosis, Multidrug-Resistant - microbiology</subject><issn>1360-2276</issn><issn>1365-3156</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>EIF</sourceid><recordid>eNp1kd9qFDEUh4Motm698AVkwJsKnW3-TmZuBClaCxVvtvQynJmc3U2ZTWoy07Je9REE37BPYrZbFxWam3NIvnyc5EfIG0anLK_jYeWmTNRMPiP7TFSqFExVzx96WnKuqz3yKqUrSqmUqnpJ9vJ-3SjN98nlbIlFwi54W3gYXPDQF-AHd3_3cxhbjN3Yh-RSYeO4KCLmdgDf5TtjvMF14XwxA_8DvIOjglOm7-9-5VIfkBdz6BO-fqwTcvH50-zkS3n-7fTs5ON52UkpZAl03kpL0baoGiqU6jiVytbMoqat4ijnjVRao6xBtYIyaKBFoS1rdQUWxIR82Hqvx3aFtkM_ROjNdXQriGsTwJl_T7xbmkW4MU3NK940WXD4KIjh-4hpMCuXOux78BjGZLhmQtBKig367j_0Kowxf9iG4pRzxvOjJuT9lupiSCnifDcMo2YTl8lxmYe4Mvv27-l35J98MnC8BW5dj-unTWb29Wyr_A0YGaC1</recordid><startdate>202210</startdate><enddate>202210</enddate><creator>Mutayoba, Beatrice Kemilembe</creator><creator>Ershova, Julia</creator><creator>Lyamuya, Eligius</creator><creator>Hoelscher, Michael</creator><creator>Heinrich, Norbert</creator><creator>Kilale, Andrew Martin</creator><creator>Range, Nyagosya Segere</creator><creator>Ngowi, Benard James</creator><creator>Ntinginya, Nyanda Elias</creator><creator>Mfaume, Saidi Mwinjuma</creator><creator>Nkiligi, Emmanuel</creator><creator>Doulla, Basra</creator><creator>Lyimo, Johnson</creator><creator>Kisonga, Riziki</creator><creator>Kingalu, Amri</creator><creator>Lema, Yakobo</creator><creator>Kondo, Zuwena</creator><creator>Pletschette, Michel</creator><general>Blackwell Publishing Ltd</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>WIN</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>7T2</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>202210</creationdate><title>The second national anti‐tuberculosis drug resistance survey in Tanzania, 2017–2018</title><author>Mutayoba, Beatrice Kemilembe ; Ershova, Julia ; Lyamuya, Eligius ; Hoelscher, Michael ; Heinrich, Norbert ; Kilale, Andrew Martin ; Range, Nyagosya Segere ; Ngowi, Benard James ; Ntinginya, Nyanda Elias ; Mfaume, Saidi Mwinjuma ; Nkiligi, Emmanuel ; Doulla, Basra ; Lyimo, Johnson ; Kisonga, Riziki ; Kingalu, Amri ; Lema, Yakobo ; Kondo, Zuwena ; Pletschette, Michel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4434-a0fb4d0edbe590355c2045d81de70b52e4f94577e48a5b301a9abe37d1b76ada3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Antitubercular Agents - pharmacology</topic><topic>Antitubercular Agents - therapeutic use</topic><topic>Confidence intervals</topic><topic>Cross-Sectional Studies</topic><topic>Drug resistance</topic><topic>Drugs</topic><topic>Ethambutol</topic><topic>Extensively Drug-Resistant Tuberculosis - diagnosis</topic><topic>Extensively Drug-Resistant Tuberculosis - drug therapy</topic><topic>Extensively Drug-Resistant Tuberculosis - microbiology</topic><topic>Humans</topic><topic>Isoniazid</topic><topic>Isoniazid - therapeutic use</topic><topic>MDR‐TB</topic><topic>Microbial Sensitivity Tests</topic><topic>Missing data</topic><topic>Multidrug resistance</topic><topic>Mycobacterium tuberculosis</topic><topic>Patients</topic><topic>Polls &amp; surveys</topic><topic>Resistance factors</topic><topic>Rifampin</topic><topic>Rifampin - therapeutic use</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Sampling designs</topic><topic>Sputum</topic><topic>Statistical analysis</topic><topic>Streptomycin</topic><topic>Streptomycin - therapeutic use</topic><topic>survey</topic><topic>Surveys</topic><topic>Tanzania</topic><topic>Tanzania - epidemiology</topic><topic>Tuberculosis</topic><topic>Tuberculosis, Multidrug-Resistant - drug therapy</topic><topic>Tuberculosis, Multidrug-Resistant - epidemiology</topic><topic>Tuberculosis, Multidrug-Resistant - microbiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mutayoba, Beatrice Kemilembe</creatorcontrib><creatorcontrib>Ershova, Julia</creatorcontrib><creatorcontrib>Lyamuya, Eligius</creatorcontrib><creatorcontrib>Hoelscher, Michael</creatorcontrib><creatorcontrib>Heinrich, Norbert</creatorcontrib><creatorcontrib>Kilale, Andrew Martin</creatorcontrib><creatorcontrib>Range, Nyagosya Segere</creatorcontrib><creatorcontrib>Ngowi, Benard James</creatorcontrib><creatorcontrib>Ntinginya, Nyanda Elias</creatorcontrib><creatorcontrib>Mfaume, Saidi Mwinjuma</creatorcontrib><creatorcontrib>Nkiligi, Emmanuel</creatorcontrib><creatorcontrib>Doulla, Basra</creatorcontrib><creatorcontrib>Lyimo, Johnson</creatorcontrib><creatorcontrib>Kisonga, Riziki</creatorcontrib><creatorcontrib>Kingalu, Amri</creatorcontrib><creatorcontrib>Lema, Yakobo</creatorcontrib><creatorcontrib>Kondo, Zuwena</creatorcontrib><creatorcontrib>Pletschette, Michel</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Tropical medicine &amp; international health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mutayoba, Beatrice Kemilembe</au><au>Ershova, Julia</au><au>Lyamuya, Eligius</au><au>Hoelscher, Michael</au><au>Heinrich, Norbert</au><au>Kilale, Andrew Martin</au><au>Range, Nyagosya Segere</au><au>Ngowi, Benard James</au><au>Ntinginya, Nyanda Elias</au><au>Mfaume, Saidi Mwinjuma</au><au>Nkiligi, Emmanuel</au><au>Doulla, Basra</au><au>Lyimo, Johnson</au><au>Kisonga, Riziki</au><au>Kingalu, Amri</au><au>Lema, Yakobo</au><au>Kondo, Zuwena</au><au>Pletschette, Michel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The second national anti‐tuberculosis drug resistance survey in Tanzania, 2017–2018</atitle><jtitle>Tropical medicine &amp; international health</jtitle><addtitle>Trop Med Int Health</addtitle><date>2022-10</date><risdate>2022</risdate><volume>27</volume><issue>10</issue><spage>891</spage><epage>901</epage><pages>891-901</pages><issn>1360-2276</issn><eissn>1365-3156</eissn><abstract>Objective To determine the levels and patterns of resistance to first‐ and second‐line anti‐tuberculosis (TB) drugs among new and previously treated sputum smear positive pulmonary TB (PTB) patients. Methods We conducted a nationally representative cross‐sectional facility‐based survey in June 2017–July 2018 involving 45 clusters selected based on probability proportional to size. The survey aimed to determine the prevalence of anti‐TB drug resistance and associated risk factors among smear positive PTB patients in Tanzania. Sputum samples were examined using smear microscopy, Xpert MTB/RIF, culture and drug susceptibility testing (DST). Logistic regression was used to account for missing data and sampling design effects on the estimates and their standard errors. Results We enrolled 1557 TB patients, including 1408 (90.4%) newly diagnosed and 149 (9.6%) previously treated patients. The prevalence of multidrug‐resistant TB (MDR‐TB) was 0.85% [95% confidence interval (CI): 0.4–1.3] among new cases and 4.6% (95% CI: 1.1–8.2) among previously treated cases. The prevalence of Mycobacterium tuberculosis strains resistant to any of the four first‐line anti‐TB drugs (isoniazid, rifampicin, streptomycin and ethambutol) was 1.7% among new TB patients and 6.5% among those previously treated. Drug resistance to all first‐line drugs was similar (0.1%) in new and previously treated patients. None of the isolates displayed poly‐resistance or extensively drug‐resistant TB (XDR‐TB). The only risk factor for MDR‐TB was history of previous TB treatment (odds ratio = 5.7, 95% CI: 1.9–17.2). Conclusion The burden of MDR‐TB in the country was relatively low with no evidence of XDR‐TB. Given the overall small number of MDR‐TB cases in this survey, it will be beneficial focusing efforts on intensified case detection including universal DST.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>36089572</pmid><doi>10.1111/tmi.13814</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record>
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subjects Antitubercular Agents - pharmacology
Antitubercular Agents - therapeutic use
Confidence intervals
Cross-Sectional Studies
Drug resistance
Drugs
Ethambutol
Extensively Drug-Resistant Tuberculosis - diagnosis
Extensively Drug-Resistant Tuberculosis - drug therapy
Extensively Drug-Resistant Tuberculosis - microbiology
Humans
Isoniazid
Isoniazid - therapeutic use
MDR‐TB
Microbial Sensitivity Tests
Missing data
Multidrug resistance
Mycobacterium tuberculosis
Patients
Polls & surveys
Resistance factors
Rifampin
Rifampin - therapeutic use
Risk analysis
Risk factors
Sampling designs
Sputum
Statistical analysis
Streptomycin
Streptomycin - therapeutic use
survey
Surveys
Tanzania
Tanzania - epidemiology
Tuberculosis
Tuberculosis, Multidrug-Resistant - drug therapy
Tuberculosis, Multidrug-Resistant - epidemiology
Tuberculosis, Multidrug-Resistant - microbiology
title The second national anti‐tuberculosis drug resistance survey in Tanzania, 2017–2018
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