Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023Impact of randomized blinded rechecking program on the performance of the AFB Microscopy Laboratory Network in Uganda: a decadal retrospective studycitations
  • 2021Operationalization of COVID-19 Rapid Diagnosis Using Xpert® Xpress SARS CoV-2 Assay in Resource-Limited Settings: Early Implementation Lessons From Ugandacitations
  • 2021Epidemiological profile of patients with rifampicin-resistant tuberculosis: an analysis of the Uganda National Tuberculosis Reference Laboratory Surveillance Data, 2014–201812citations

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Mujuni, Dennis
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Nabadda, Susan
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Nsawotebba, Andrew
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Ademun, Patrick
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Musisi, Kenneth
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Kangave, Fredrick
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Joloba, Moses
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Ibanda, Ivan
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Nadunga, Diana
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Nsubuga, Richard
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Kabugo, Joel
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Wekiya, Enock
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Linda, Lillian
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Munduku, Benoni
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Ocen, Francis
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Kalyesubula-Kibuuka, Simon
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Otita, Morgan
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Okiira, Christopher
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Ogwok, Patrick
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Turyahabwe, Stavia
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Bulage, Lilian
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Ario, Alex Riolexus
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Bahizi, Gloria
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Kisaka, Stevens
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Kwesiga, Benon
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2023
2021

Co-Authors (by relevance)

  • Mujuni, Dennis
  • Nabadda, Susan
  • Nsawotebba, Andrew
  • Ademun, Patrick
  • Musisi, Kenneth
  • Kangave, Fredrick
  • Joloba, Moses
  • Ibanda, Ivan
  • Nadunga, Diana
  • Nsubuga, Richard
  • Kabugo, Joel
  • Adam, Isa
  • Wekiya, Enock
  • Majwala, Robert Kaos
  • Kigozi, Edgar
  • Bagaya, Bernard Ssentalo
  • Joloba, Moses Lutakoome
  • Ssewanyana, Isaac
  • Kagirita, Atek
  • Tugumisirize, Didas
  • Ssengooba, Willy
  • Linda, Lillian
  • Munduku, Benoni
  • Ocen, Francis
  • Kalyesubula-Kibuuka, Simon
  • Otita, Morgan
  • Okiira, Christopher
  • Ogwok, Patrick
  • Turyahabwe, Stavia
  • Bulage, Lilian
  • Ario, Alex Riolexus
  • Bahizi, Gloria
  • Kisaka, Stevens
  • Kwesiga, Benon
OrganizationsLocationPeople

article

Epidemiological profile of patients with rifampicin-resistant tuberculosis: an analysis of the Uganda National Tuberculosis Reference Laboratory Surveillance Data, 2014–2018

  • Turyahabwe, Stavia
  • Bulage, Lilian
  • Majwala, Robert Kaos
  • Ario, Alex Riolexus
  • Bahizi, Gloria
  • Musisi, Kenneth
  • Kisaka, Stevens
  • Kwesiga, Benon
  • Nyombi, Abdunoor
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Drug-resistant tuberculosis (DR-TB), including rifampicin-resistant tuberculosis (RR-TB) and multidrug-resistant tuberculosis (MDR-TB, or RR-TB with additional isoniazid resistance), presents challenges to TB control. In Uganda, the GeneXpert test provides point-of-care testing for TB and rifampicin resistance. Patients identified with RR-TB receive culture-based drug susceptibility testing (DST) to identify additional resistance, if any. There are few data on the epidemiological profiles of current DR-TB patients in Uganda. We described patients with RR-TB in Uganda and assessed the trends of RR-TB to inform TB control interventions.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We identified patients with RR-TB whose samples were referred for culture and DST during 2014–2018 from routinely-generated laboratory surveillance data at the Uganda National Tuberculosis Reference Laboratory. Data on patient demographics and drug sensitivity profile of <jats:italic>Mycobacterium tuberculosis</jats:italic> isolates were abstracted. Population data were obtained from the Uganda Bureau of Statistics to calculate incidence. Descriptive epidemiology was performed, and logistic regression used to assess trends.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>We identified 1474 patients whose mean age was 36 ± 17 years. Overall incidence was 3.8/100,000 population. Males were more affected by RR-TB than females (4.9 vs. 2.7/100,000, <jats:italic>p</jats:italic> ≤ 0.01). Geographically, Northern Uganda was the most affected region (IR = 6.9/100,000) followed by the Central region (IR = 5.01/100,000). The overall population incidence of RR-TB increased by 20% over the evaluation period (OR = 1.2; 95% CI 1.15–1.23); RR-TB in new TB cases increased by 35% (OR = 1.35; 95% CI 1.3–1.4) and by 7% in previously-treated cases (OR = 1.07; 95% CI 1.0–1.1). Of the 1474 patients with RR-TB, 923 (63%) were culture-positive of whom 670 (72%) had full DST available. Based on the DST results, 522/670 (78%) had MDR-TB.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Between 2014 and 2018, the incidence of RR-TB increased especially among newly-diagnosed TB patients. We recommend intensified efforts and screening for early diagnosis especially among previously treated patients. Mechanisms should be in put to ensure that all patients with RR-TB obtain DST.</jats:p></jats:sec>

Topics
  • size-exclusion chromatography
  • susceptibility
  • chemical ionisation