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巴西、印度和南非在新冠疫情期间结核病医疗服务中断情况:基于模型的国家层面数据分析

Tuberculosis healthcare service disruptions during the COVID-19 pandemic in Brazil, India and South Africa: A model-based analysis of country-level data.

作者信息

de Villiers Abigail K, Osman Muhammad, Struchiner Claudio J, Trajman Anete, Tumu Dheeraj, Shah Vaibhav V, Werneck Guilherme L, Alves Layana C, Choudhary Megha, Verma Sunita, Mattoo Sanjay K, Meehan Sue-Ann, Singh Urvashi B, Hesseling Anneke C, Marx Florian M

机构信息

Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.

South African Centre for Epidemiological Modelling and Analysis, Stellenbosch University, Stellenbosch, South Africa.

出版信息

PLOS Glob Public Health. 2025 Jan 7;5(1):e0003309. doi: 10.1371/journal.pgph.0003309. eCollection 2025.

Abstract

Tuberculosis (TB) is the leading infectious disease cause of death worldwide. In recent years, stringent measures to contain the spread of SARS-CoV-2 have led to considerable disruptions of healthcare services for TB in many countries. The extent to which these measures have affected TB testing, treatment initiation and outcomes has not been comprehensively assessed. We aimed to estimate TB healthcare service disruptions occurring during the COVID-19 pandemic in Brazil, India, and South Africa. We obtained country-level TB programme and laboratory data and used autoregressive integrated moving average (ARIMA) time-series models to estimate healthcare service disruptions with respect to TB testing, treatment initiation, and treatment outcomes. We quantified disruptions as the percentage difference between TB indicator data observed during the COVID-19 pandemic compared with values for a hypothetical no-COVID scenario, predicted through forecasting of trends during a three-year pre-pandemic period. Annual estimates for 2020-2022 were derived from aggregated monthly data. We estimated that in 2020, the number of bacteriological tests conducted for TB diagnosis was 24.3% (95% uncertainty interval: 8.4%;36.6%) lower in Brazil, 27.8% (19.8;3 4.8%) lower in India, and 32.0% (28.9%;34.9%) lower in South Africa compared with values predicted for the no-COVID scenario. TB treatment initiations were 17.4% (13.9%;20.6%) lower than predicted in Brazil, 43.3% (39.8%;46.4%) in India, and 27.0% (15.2%;36.3%) in South Africa. Reductions in 2021 were less severe compared with 2020. The percentage deaths during TB treatment were 13.7% (8.1%; 19.7%) higher than predicted in Brazil, 1.7% (-8.9%;14.0%) in India and 21.8% (7.4%;39.2%) in South Africa. Our analysis suggests considerable disruptions of TB healthcare services occurred during the early phase of the COVID-19 pandemic in Brazil, India, and South Africa, with at least partial recovery in the following years. Sustained efforts to mitigate the detrimental impact of COVID-19 on TB healthcare services are needed.

摘要

结核病是全球主要的感染性疾病死因。近年来,许多国家为遏制严重急性呼吸综合征冠状病毒2(SARS-CoV-2)传播采取了严格措施,这给结核病医疗服务带来了严重干扰。这些措施对结核病检测、治疗启动及治疗结果的影响程度尚未得到全面评估。我们旨在估算巴西、印度和南非在2019冠状病毒病疫情期间结核病医疗服务受到的干扰情况。我们获取了国家层面的结核病规划和实验室数据,并使用自回归积分滑动平均(ARIMA)时间序列模型来估算结核病检测、治疗启动及治疗结果方面的医疗服务干扰情况。我们将干扰量化为2019冠状病毒病疫情期间观察到的结核病指标数据与通过对疫情前三年趋势进行预测得出的假设无疫情情景下的值之间的百分比差异。2020 - 2022年的年度估算值来自汇总的月度数据。我们估计,2020年,巴西用于结核病诊断的细菌学检测数量比无疫情情景下预测的值低24.3%(95%不确定区间:8.4%;36.6%),印度低27.8%(19.8%;34.8%),南非低32.0%(28.9%;34.9%)。巴西的结核病治疗启动率比预测值低17.4%(13.9%;20.6%),印度低43.3%(39.8%;46.4%),南非低27.0%(15.2%;36.3%)。与2020年相比,2021年的降幅没那么严重。结核病治疗期间的死亡百分比在巴西比预测值高13.7%(8.1%;19.7%);在印度为1.7%(-8.9%;14.0%);在南非为21.8%(7.4%;39.2%)。我们的分析表明,在2019冠状病毒病疫情早期,巴西、印度和南非的结核病医疗服务受到了严重干扰,在随后几年至少部分有所恢复。需要持续努力减轻2019冠状病毒病对结核病医疗服务的不利影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d90/11706508/020d6c7127e2/pgph.0003309.g001.jpg

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