Evaluation of Effect of Geographical Pattern on Improvement of Patients with Pulmonary Tuberculosis Based on A Parametric Accelerated Failure Time Model

Background and Objectives: Tuberculosis is the most common cause of death among single-factor infectious diseases and is the tenth cause of death among all diseases in the world. The disease is spread mainly from an infected person through close contact with other people living in one place. The aim...

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Main Authors: SH Seyedagha, A Kavousi, AR Baghestani, M Nasehi
Format: Article
Language:fas
Published: Tehran University of Medical Sciences 2017-12-01
Series:مجله اپیدمیولوژی ایران
Subjects:
Online Access:http://irje.tums.ac.ir/article-1-5817-en.html
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spelling doaj-7d28119b168644559db6049bf270ca722021-10-02T18:27:01ZfasTehran University of Medical Sciencesمجله اپیدمیولوژی ایران1735-74892228-75072017-12-01133199209Evaluation of Effect of Geographical Pattern on Improvement of Patients with Pulmonary Tuberculosis Based on A Parametric Accelerated Failure Time ModelSH Seyedagha0A Kavousi1AR Baghestani2M Nasehi3 School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran Associate Professor, School of Health, Safety and Environment, Shahid Beheshti University of Medical Sciences, Tehran, Iran Assistant Professor, Department of Biostatistics, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran Associate Professor, Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran Background and Objectives: Tuberculosis is the most common cause of death among single-factor infectious diseases and is the tenth cause of death among all diseases in the world. The disease is spread mainly from an infected person through close contact with other people living in one place. The aim of this study was to investigate the relationship between the spatial correlation structure and the recovery time of patients with pulmonary tuberculosis in Iran. Methods: In this applied study, the data of 20554 patients with sputum smear-positive pulmonary tuberculosis in Iran from 1389 to 1393 were used. A parametric accelerated failure time model with spatial frailty and batesian approach was used to analyze the data. The OpenBUGS 1.4 was used for programming and the ArcGIS 9.2 was used for mapping the environmental impact on tuberculosis. Results: The mean age of the patients was 50.35 years with a standard deviation of 21.6 years. The results showed that the geographical environment, gender, prison condition, degree of smear positivity at diagnosis and location (urban-rural) had a significant impact on the recovery time of pulmonary tuberculosis patients. The recovery time of patients with smear grade 1-9 bacilli, 1+ and 2+ who were treated was significantly shorter than the others. Conclusion: According to the study, geographical environment and the location have a significant impact on smear positive patients’ recovery time. This impact depends on the degree of smear positivity in some provinces and is independent of it in some other provinces.http://irje.tums.ac.ir/article-1-5817-en.htmlparametric accelerated failure time modelspatial statisticsbayesian analysisparametric survival analysispulmonary tuberculosis
collection DOAJ
language fas
format Article
sources DOAJ
author SH Seyedagha
A Kavousi
AR Baghestani
M Nasehi
spellingShingle SH Seyedagha
A Kavousi
AR Baghestani
M Nasehi
Evaluation of Effect of Geographical Pattern on Improvement of Patients with Pulmonary Tuberculosis Based on A Parametric Accelerated Failure Time Model
مجله اپیدمیولوژی ایران
parametric accelerated failure time model
spatial statistics
bayesian analysis
parametric survival analysis
pulmonary tuberculosis
author_facet SH Seyedagha
A Kavousi
AR Baghestani
M Nasehi
author_sort SH Seyedagha
title Evaluation of Effect of Geographical Pattern on Improvement of Patients with Pulmonary Tuberculosis Based on A Parametric Accelerated Failure Time Model
title_short Evaluation of Effect of Geographical Pattern on Improvement of Patients with Pulmonary Tuberculosis Based on A Parametric Accelerated Failure Time Model
title_full Evaluation of Effect of Geographical Pattern on Improvement of Patients with Pulmonary Tuberculosis Based on A Parametric Accelerated Failure Time Model
title_fullStr Evaluation of Effect of Geographical Pattern on Improvement of Patients with Pulmonary Tuberculosis Based on A Parametric Accelerated Failure Time Model
title_full_unstemmed Evaluation of Effect of Geographical Pattern on Improvement of Patients with Pulmonary Tuberculosis Based on A Parametric Accelerated Failure Time Model
title_sort evaluation of effect of geographical pattern on improvement of patients with pulmonary tuberculosis based on a parametric accelerated failure time model
publisher Tehran University of Medical Sciences
series مجله اپیدمیولوژی ایران
issn 1735-7489
2228-7507
publishDate 2017-12-01
description Background and Objectives: Tuberculosis is the most common cause of death among single-factor infectious diseases and is the tenth cause of death among all diseases in the world. The disease is spread mainly from an infected person through close contact with other people living in one place. The aim of this study was to investigate the relationship between the spatial correlation structure and the recovery time of patients with pulmonary tuberculosis in Iran. Methods: In this applied study, the data of 20554 patients with sputum smear-positive pulmonary tuberculosis in Iran from 1389 to 1393 were used. A parametric accelerated failure time model with spatial frailty and batesian approach was used to analyze the data. The OpenBUGS 1.4 was used for programming and the ArcGIS 9.2 was used for mapping the environmental impact on tuberculosis. Results: The mean age of the patients was 50.35 years with a standard deviation of 21.6 years. The results showed that the geographical environment, gender, prison condition, degree of smear positivity at diagnosis and location (urban-rural) had a significant impact on the recovery time of pulmonary tuberculosis patients. The recovery time of patients with smear grade 1-9 bacilli, 1+ and 2+ who were treated was significantly shorter than the others. Conclusion: According to the study, geographical environment and the location have a significant impact on smear positive patients’ recovery time. This impact depends on the degree of smear positivity in some provinces and is independent of it in some other provinces.
topic parametric accelerated failure time model
spatial statistics
bayesian analysis
parametric survival analysis
pulmonary tuberculosis
url http://irje.tums.ac.ir/article-1-5817-en.html
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AT akavousi evaluationofeffectofgeographicalpatternonimprovementofpatientswithpulmonarytuberculosisbasedonaparametricacceleratedfailuretimemodel
AT arbaghestani evaluationofeffectofgeographicalpatternonimprovementofpatientswithpulmonarytuberculosisbasedonaparametricacceleratedfailuretimemodel
AT mnasehi evaluationofeffectofgeographicalpatternonimprovementofpatientswithpulmonarytuberculosisbasedonaparametricacceleratedfailuretimemodel
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