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

BMC Infectious Diseases

Nabila El-Bassel⁶  Almaz Sharman¹  Zhaksybay Zhumadilov¹  Laura Bartkowiak⁶  Farida Akiyanova⁴  Talgat Muminov²  Tleukhan Abildayev³  Saltanat Yegeubayeva⁵  Neil Schluger⁶  Sandro Galea⁶  Sabrina Hermosilla⁶  Assel Terlikbayeva⁵ 

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

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

Others  :  1159629
DOI  :  10.1186/1471-2334-12-262

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

【 摘 要 】

Background

Development 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.

Methods

Correlational 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.

Results

The 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.

Conclusion

Understanding 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】

   
2012 Terlikbayeva et al.; licensee BioMed Central Ltd.

【 图 表 】

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