Platon I Eliseev

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Correspondence to: Gillian Hazel Mann, Liverpool School of Tropical Medicine–CRESTHA, Pembroke Place Liverpool L3 5QA, UK. Tel: (+44) 151 705 3139. Fax: (+44) 151 705 3743. e-mail: ghmann@liv.ac.uk The need for a strong and comprehensive evidence base to support decision making with regard to the implementation of new and improved diagnostic tools and(More)
BACKGROUND In the Arkhangelsk region of Northern Russia, multidrug-resistant (MDR) tuberculosis (TB) rates in new cases are amongst the highest in the world. In 2014, MDR-TB rates reached 31.7% among new cases and 56.9% among retreatment cases. The development of new diagnostic tools allows for faster detection of both TB and MDR-TB and should lead to(More)
The need for a strong and comprehensive evidence base to support decision making with regard to the implementation of new and improved diagnostic tools and approaches has been highlighted by a number of stakeholders; these include members of the New Diagnostics Working Group (NDWG) and the Subgroup for Introducing New Approaches and Tools of the Stop TB(More)
Acquired resistance to antituberculosis drugs decreases effective treatment options and the likelihood of treatment success. We identified risk factors for acquisition of drug resistance during treatment for multidrug-resistant tuberculosis (MDR TB) and evaluated the effect on treatment outcomes. Data were collected prospectively from adults from(More)
BACKGROUND Tuberculosis (TB) is a major problem in Russia, particularly regarding multidrug-resistant tuberculosis (MDR-TB). Rapid drug susceptibility testing methods are therefore needed. OBJECTIVES To perform epidemiological analyses of TB in the Archangelsk region and to evaluate the molecular method GenoType®MTBDRplus in this type of setting. (More)
In the Lancet Infectious Diseases, Aditya Sharma and colleagues used a compartmental model to forecast the increase of multidrug-resistant (MDR) and extensively drug-resistant (XDR) tuberculosis in 2040 in four countries with an already high burden of tuberculosis: India, the Philippines, Russia, and South Africa. Their model predicted an increase in the(More)
BACKGROUND This study describes an outbreak of tuberculosis (TB) in a nursing home for men with mental disorders where residency is lengthy or permanent. This type of setting can provide a model of transmission as contact with the rest of society is extremely limited. AIM To determine if cases of TB, diagnosed around the same time and in the same place,(More)
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