Tuberculosis in Kazakhstan: analysis of risk determinants in national surveillance data

BMC Infectious Diseases

Research Article

Neil Schluger¹  Sandro Galea¹  Laura Bartkowiak¹  Sabrina Hermosilla¹  Nabila El-Bassel¹  Assel Terlikbayeva²  Saltanat Yegeubayeva²  Talgat Muminov³  Farida Akiyanova⁴  Tleukhan Abildayev⁵  Almaz Sharman⁶  Zhaksybay Zhumadilov⁶ 

[1] 6) Columbia University in the City of New York, 1255 Amsterdam Avenue, 10027, New York, NY, USA;Columbia University Global Health Research Center of Central Asia, 102 Luganskogo str, 050059, Almaty, Kazakhstan;Kazakhstan National Association of TB Specialists, 5 Bekhodjin str, 050059, Almaty, Kazakhstan;Kazakhstan National Institute of Geography, 99 Pushkin str, 050010, Almaty, Kazakhstan;National Center for Tuberculosis in Kazakhstan, 5 Bekhodjin str, 050059, Almaty, Kazakhstan;Nazarbayev University, address, 5 Kabanbay Batyr str, 010000, Astana, Kazakhstan;

关键词: Tuberculosis;    Case notification rate (CNR);    Prevalence;    Risk factors;    MDR-TB;    Kazakhstan;    Spatial distribution;    Surveillance;    National tuberculosis program (NTP);    Oblast;   

DOI  :  10.1186/1471-2334-12-262

 received in 2012-03-28, accepted in 2012-10-15,  发布年份 2012

来源: Springer

【 摘 要 】

BackgroundDevelopment of tuberculosis (TB) is determined by various risk factors and the interactions of temporal and spatial distributions. The aim of this study was to identify the most salient risk factors for TB disease as well as multidrug resistant TB (MDR-TB) at the oblast (provincial) level in Kazakhstan.MethodsCorrelational and descriptive analyses were conducted at the oblast and national level using data provided by the country’s National Institute of Geography (NIG) and the National Tuberculosis Program (NTP). Reported incident case notification rates (CNRs) and prevalence vary by oblast, thus the study investigated which determinants contributed to this regional variation and compared burdens among oblasts.ResultsThe results showed that while tuberculosis CNRs decreased over the study period, MDR-TB conversely increased. Two oblasts -Atyrauskaya and Mangystauskaya - presented especially significant anomalies with large decreases in TB incident CNRs coupled with comparatively large increases in MDR-TB incident CNRs.ConclusionUnderstanding the distribution of TB and MDR-TB cases and associated risk factors, especially the “unknown risk factor” categorization points to the need for future research.

【 授权许可】

CC BY   
© Terlikbayeva et al.; licensee BioMed Central Ltd. 2012