Bayesian estimation of the time-varying reproduction number for pulmonary tuberculosis in Iran: A registry-based study from 2018 to 2022 using new smear-positive cases

IF 8.8 3区 医学 Q1 Medicine Infectious Disease Modelling Pub Date : 2024-05-10 DOI:10.1016/j.idm.2024.05.003
Maryam Rastegar , Eisa Nazar , Mahshid Nasehi , Saeed Sharafi , Vahid Fakoor , Mohammad Taghi Shakeri
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Abstract

Introduction

Tuberculosis (TB) is one of the most prevalent infectious diseases in the world, causing major public health problems in developing countries. The rate of TB incidence in Iran was estimated to be 13 per 100,000 in 2021. This study aimed to estimate the reproduction number and serial interval for pulmonary tuberculosis in Iran.

Material and methods

The present national historical cohort study was conducted from March 2018 to March 2022 based on data from the National Tuberculosis and Leprosy Registration Center of Iran's Ministry of Health and Medical Education (MOHME). The study included 30,762 tuberculosis cases and 16,165 new smear-positive pulmonary tuberculosis patients in Iran. We estimated the reproduction number of pulmonary tuberculosis in a Bayesian framework, which can incorporate uncertainty in estimating it. Statistical analyses were accomplished in R software.

Results

The mean age at diagnosis of patients was 52.3 ± 21.2 years, and most patients were in the 35–63 age group (37.1%). Among the data, 9121 (56.4%) cases were males, and 7044 (43.6%) were females. Among patients, 7459 (46.1%) had a delayed diagnosis between 1 and 3 months. Additionally, 3039 (18.8%) cases were non-Iranians, and 2978 (98%) were Afghans. The time-varying reproduction number for pulmonary tuberculosis disease was calculated at an average of 1.06 ± 0.05 (95% Crl 0.96–1.15).

Conclusions

In this study, the incidence and the time-varying reproduction number of pulmonary tuberculosis showed the same pattern. The mean of the time-varying reproduction number indicated that each infected person is causing at least one new infection over time, and the chain of transmission is not being disrupted.

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伊朗肺结核时变繁殖数的贝叶斯估计:利用涂片阳性新病例进行的 2018 至 2022 年登记研究
导言结核病(TB)是世界上最流行的传染病之一,在发展中国家造成了严重的公共卫生问题。据估计,2021 年伊朗的肺结核发病率为每 10 万人 13 例。本研究旨在估算伊朗肺结核的繁殖数量和序列间隔。材料和方法本国家历史队列研究于 2018 年 3 月至 2022 年 3 月进行,以伊朗卫生和医学教育部(MOHME)国家结核病和麻风病登记中心的数据为基础。研究包括伊朗的 30,762 例肺结核病例和 16,165 例涂片阳性肺结核新患者。我们在贝叶斯框架中估算了肺结核的再现数量,该框架可将不确定性纳入估算中。结果患者确诊时的平均年龄为(52.3 ± 21.2)岁,大多数患者处于 35-63 岁年龄段(37.1%)。数据中,9121 例(56.4%)为男性,7044 例(43.6%)为女性。在患者中,7459 人(46.1%)的诊断延迟了 1 至 3 个月。此外,3039 例(18.8%)为非伊朗人,2978 例(98%)为阿富汗人。经计算,肺结核病的时变繁殖数平均为 1.06 ± 0.05(95% Crl 0.96-1.15)。时变繁殖数的平均值表明,每个感染者在一段时间内至少会造成一个新的感染,而传播链并未中断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Infectious Disease Modelling
Infectious Disease Modelling Mathematics-Applied Mathematics
CiteScore
17.00
自引率
3.40%
发文量
73
审稿时长
17 weeks
期刊介绍: Infectious Disease Modelling is an open access journal that undergoes peer-review. Its main objective is to facilitate research that combines mathematical modelling, retrieval and analysis of infection disease data, and public health decision support. The journal actively encourages original research that improves this interface, as well as review articles that highlight innovative methodologies relevant to data collection, informatics, and policy making in the field of public health.
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