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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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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. |
format | Online Article Text |
id | pubmed-3558394 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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