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

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) leve...

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Autores principales: Terlikbayeva, Assel, Hermosilla, Sabrina, Galea, Sandro, Schluger, Neil, Yegeubayeva, Saltanat, Abildayev, Tleukhan, Muminov, Talgat, Akiyanova, Farida, Bartkowiak, Laura, Zhumadilov, Zhaksybay, Sharman, Almaz, El-Bassel, Nabila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3558394/
https://www.ncbi.nlm.nih.gov/pubmed/23075260
http://dx.doi.org/10.1186/1471-2334-12-262
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author Terlikbayeva, Assel
Hermosilla, Sabrina
Galea, Sandro
Schluger, Neil
Yegeubayeva, Saltanat
Abildayev, Tleukhan
Muminov, Talgat
Akiyanova, Farida
Bartkowiak, Laura
Zhumadilov, Zhaksybay
Sharman, Almaz
El-Bassel, Nabila
author_facet Terlikbayeva, Assel
Hermosilla, Sabrina
Galea, Sandro
Schluger, Neil
Yegeubayeva, Saltanat
Abildayev, Tleukhan
Muminov, Talgat
Akiyanova, Farida
Bartkowiak, Laura
Zhumadilov, Zhaksybay
Sharman, Almaz
El-Bassel, Nabila
author_sort Terlikbayeva, Assel
collection PubMed
description 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.
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spelling pubmed-35583942013-01-31 Tuberculosis in Kazakhstan: analysis of risk determinants in national surveillance data Terlikbayeva, Assel Hermosilla, Sabrina Galea, Sandro Schluger, Neil Yegeubayeva, Saltanat Abildayev, Tleukhan Muminov, Talgat Akiyanova, Farida Bartkowiak, Laura Zhumadilov, Zhaksybay Sharman, Almaz El-Bassel, Nabila BMC Infect Dis Research Article 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. BioMed Central 2012-10-18 /pmc/articles/PMC3558394/ /pubmed/23075260 http://dx.doi.org/10.1186/1471-2334-12-262 Text en Copyright ©2012 Terlikbayeva et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Terlikbayeva, Assel
Hermosilla, Sabrina
Galea, Sandro
Schluger, Neil
Yegeubayeva, Saltanat
Abildayev, Tleukhan
Muminov, Talgat
Akiyanova, Farida
Bartkowiak, Laura
Zhumadilov, Zhaksybay
Sharman, Almaz
El-Bassel, Nabila
Tuberculosis in Kazakhstan: analysis of risk determinants in national surveillance data
title Tuberculosis in Kazakhstan: analysis of risk determinants in national surveillance data
title_full Tuberculosis in Kazakhstan: analysis of risk determinants in national surveillance data
title_fullStr Tuberculosis in Kazakhstan: analysis of risk determinants in national surveillance data
title_full_unstemmed Tuberculosis in Kazakhstan: analysis of risk determinants in national surveillance data
title_short Tuberculosis in Kazakhstan: analysis of risk determinants in national surveillance data
title_sort tuberculosis in kazakhstan: analysis of risk determinants in national surveillance data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3558394/
https://www.ncbi.nlm.nih.gov/pubmed/23075260
http://dx.doi.org/10.1186/1471-2334-12-262
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