Tuberculosis screening among children and adolescents in China: insights from a mathematical model

IF 4.4 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Intelligent medicine Pub Date : 2023-08-01 DOI:10.1016/j.imed.2022.09.001
Janne Estill , Yangqin Xun , Shouyuan Wu , Lidong Hu , Nan Yang , Shu Yang , Yaolong Chen , Guobao Li
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引用次数: 1

Abstract

Background

Tuberculosis (TB) continues to be prevalent in China also among children and adolescents in China. We built a dynamic mathematical model for TB transmission in China, and applied it to compare the epidemic trends 2021–2030 under a range of screening interventions focusing on children and adolescents.

Methods

We developed a dynamic mathematical model with a flexible structure. The model can be applied either stochastically or deterministically, and can encompass arbitrary age structure and resistance levels. In the present version, we used the deterministic version excluding resistance but including age structure with six groups: 0–5, 6–11, 12–14, 15–17, 18–64, and 65 years and above. We parameterized the model by literature data and fitting it to case and death estimates provided by the World Health Organization. We compared the new TB cases and TB-related deaths in each age group over the period 2021–2030 in 10 scenarios that involved intensified screening of particular age groups of children, adolescents, or young adults, or decreased or increased diagnostic accuracy of the screening.

Results

Screening the entire age class of 18-year-old persons would prevent 517,000 TB cases and 14,600 TB-related deaths between years 2021 and 2030, corresponding to 6.6% and 5.5% decrease from the standard of care projection, respectively. Annual screening of children aged 6–11 and, to a lesser extent, 0–5 years, also reduced TB incidence and mortality, particularly among children of the respective ages but also in other age groups. In contrast, intensified screening of adolescents did not have a major impact. Screening with a simpler and less accurate method resulted in worsened outcomes, which could not be offset by more intensive screening. More accurate screening and better sensitivity to detect latent TB could prevent 2.3 million TB cases and 68,500 TB deaths in the coming 10 years.

Conclusion

Routine screening in schools can efficiently reduce the burden of TB in China. Screening should be intensified particularly among children in primary school age.

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中国儿童和青少年结核病筛查:来自数学模型的见解
背景肺结核在中国继续流行,在中国的儿童和青少年中也是如此。我们建立了中国结核病传播的动态数学模型,并将其应用于比较2021-2030年以儿童和青少年为重点的一系列筛查干预措施下的疫情趋势。方法建立一个具有柔性结构的动态数学模型。该模型可以随机应用,也可以确定应用,并且可以包含任意的年龄结构和阻力水平。在目前的版本中,我们使用了确定性版本,不包括耐药性,但包括六组的年龄结构:0-5岁、6-11岁、12-14岁、15-17岁、18-64岁和65岁及以上。我们通过文献数据对模型进行了参数化,并将其与世界卫生组织提供的病例和死亡估计值进行了拟合。我们比较了2021年至2030年期间每个年龄组的新结核病病例和结核病相关死亡,共有10种情况,包括加强对儿童、青少年或年轻人特定年龄组的筛查,或降低或提高筛查的诊断准确性。结果在2021年至2030年期间,对18岁的整个年龄段人群进行筛查将预防517000例结核病病例和14600例结核病相关死亡,分别比护理标准预测下降6.6%和5.5%。每年对6-11岁儿童,以及在较小程度上对0-5岁儿童进行筛查,也降低了结核病的发病率和死亡率,特别是在相应年龄段的儿童中,但在其他年龄组中也是如此。相比之下,加强对青少年的筛查并没有产生重大影响。用更简单、更不准确的方法进行筛查会导致结果恶化,而更深入的筛查无法抵消这一点。在未来10年内,更准确的筛查和更好的敏感性可以预防230万结核病病例和6.85万结核病死亡。结论学校常规筛查能有效减轻我国结核病负担。应加强筛查,尤其是在小学年龄的儿童中。
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
Intelligent medicine
Intelligent medicine Surgery, Radiology and Imaging, Artificial Intelligence, Biomedical Engineering
CiteScore
5.20
自引率
0.00%
发文量
19
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