scholarly journals Multidrug-Resistant Tuberculosis Disease in North-Kivu Province, Democratic Republic of Congo

2019 ◽  
Vol 07 (02) ◽  
pp. 56-64
Author(s):  
Biya Nkizinkiko Robert ◽  
Mashako Ruhanga Many
2020 ◽  
Vol 08 (03) ◽  
pp. 111-126
Author(s):  
Innocent Murhula Kashongwe ◽  
Leopoldine Mbulula ◽  
Fina Mawete ◽  
Nicole Anshambi ◽  
Nadine Maingowa ◽  
...  

2019 ◽  
Vol 07 (01) ◽  
pp. 25-44 ◽  
Author(s):  
Serge Bisuta-Fueza ◽  
Jean Marie Kayembe-Ntumba ◽  
Marie-Jose Kabedi-Bajani ◽  
Pascale Mulomba Sabwe ◽  
Hippolyte Situakibanza-Nani Tuma ◽  
...  

2017 ◽  
Vol 05 (04) ◽  
pp. 276-291 ◽  
Author(s):  
Murhula Innocent Kashongwe ◽  
Leopoldine Mbulula ◽  
Pierre Umba ◽  
Francois Bompeka Lepira ◽  
Michel Kaswa ◽  
...  

2019 ◽  
Vol 07 (04) ◽  
pp. 212-219
Author(s):  
Innocent Kashongwe Murhula ◽  
Fina Mawete ◽  
Lay Ofali ◽  
Michel Kaswa ◽  
Francois Lepira Bompeka ◽  
...  

2018 ◽  
Vol 68 (9) ◽  
pp. 1547-1555
Author(s):  
David P Bui ◽  
Eyal Oren ◽  
Denise J Roe ◽  
Heidi E Brown ◽  
Robin B Harris ◽  
...  

Abstract Background The majority of tuberculosis transmission occurs in community settings. Our primary aim in this study was to assess the association between exposure to community venues and multidrug-resistant (MDR) tuberculosis. Our secondary aim was to describe the social networks of MDR tuberculosis cases and controls. Methods We recruited laboratory-confirmed MDR tuberculosis cases and community controls that were matched on age and sex. Whole-genome sequencing was used to identify genetically clustered cases. Venue tracing interviews (nonblinded) were conducted to enumerate community venues frequented by participants. Logistic regression was used to assess the association between MDR tuberculosis and person-time spent in community venues. A location-based social network was constructed, with respondents connected if they reported frequenting the same venue, and an exponential random graph model (ERGM) was fitted to model the network. Results We enrolled 59 cases and 65 controls. Participants reported 729 unique venues. The mean number of venues reported was similar in both groups (P = .92). Person-time in healthcare venues (adjusted odds ratio [aOR] = 1.67, P = .01), schools (aOR = 1.53, P < .01), and transportation venues (aOR = 1.25, P = .03) was associated with MDR tuberculosis. Healthcare venues, markets, cinemas, and transportation venues were commonly shared among clustered cases. The ERGM indicated significant community segregation between cases and controls. Case networks were more densely connected. Conclusions Exposure to healthcare venues, schools, and transportation venues was associated with MDR tuberculosis. Intervention across the segregated network of case venues may be necessary to effectively stem transmission.


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