Leveraging the influenza sentinel surveillance platform for SARS-CoV-2 monitoring in Bangladesh (2020–2024): a prospective sentinel surveillance study

IF 6.2 Q1 HEALTH CARE SCIENCES & SERVICES
Md Ariful Islam , Md Zakiul Hassan , Zubair Akhtar , Saju Bhuiya , Tanzir Ahmed Shuvo , Probir Kumar Ghosh , Asadullah , Md Abdullah Al Jubayer Biswas , Mustafizur Rahman , Mohammad Jubair , Mst Noorjahan Begum , Yeasir Karim , Mohammed Ziaur Rahman , Mohammad Enayet Hossain , Mohammad Niaz Morshed Khan , Tahmina Shirin , Shah Niaz Md Rubaid Anwar , Ahmed Nawsher Alam , Mohammad Ferdous Rahman Sarker , Monalisa , Fahmida Chowdhury
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Abstract

Background

There is limited global evidence on whether influenza sentinel surveillance platforms can be effectively adapted for long-term SARS-CoV-2 monitoring in low-resource contexts. We explored the utility of the hospital-based influenza sentinel surveillance (HBIS) platform for monitoring SARS-CoV-2 in Bangladesh by comparing SARS-CoV-2 detection in HBIS platform with national COVID-19 platform and assessing how its integration into influenza surveillance aligns with national trends.

Methods

From March 2020 to December 2024, we analysed data from patients with severe acute respiratory infection (SARI) and influenza-like illness (ILI) enrolled in HBIS. Socio-demographic and clinical data were recorded, and nasopharyngeal and oropharyngeal swabs were tested for influenza and SARS-CoV-2 using rRT-PCR. Whole-genome sequencing was performed on a subset of SARS-CoV-2–positive samples. Data from national COVID-19 platform were obtained from the Directorate General of Health Services, Bangladesh, and were compared with HBIS platform data using epidemic curves and Pearson correlation analysis.

Findings

Among 25,366 (SARI: 20,226; ILI: 5140) patients, 13.0% (3310) tested positive for influenza, 6.6% (1680) for SARS-CoV-2, and 0.2% (43) were co-infected. SARS-CoV-2 positivity in HBIS (6.8%), including 0.2% co-infections, was lower than the national average (13.1%), but showed a strong correlation with national trends (Pearson r = 0.86, P < 0.001). Sequencing of 234 SARS-CoV-2 strains detected the beta and delta variants in April and May 2021, respectively, and omicron subvariants circulating from 2022 to 2024, aligning with the national COVID-19 platform.

Interpretation

SARS-CoV-2 positivity trends in HBIS platform closely aligned with the national COVID-19 platform, demonstrating its potential as a sustainable platform for COVID-19 monitoring. Our findings underscore the feasibility of influenza sentinel surveillance as an early warning system for future COVID-19 outbreaks or other respiratory viruses of pandemic concern in Bangladesh and similar settings.

Funding

Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA (U01GH002259).
利用流感哨点监测平台在孟加拉国监测SARS-CoV-2(2020-2024):一项前瞻性哨点监测研究
关于流感哨点监测平台是否能够有效适应低资源环境下的SARS-CoV-2长期监测,全球证据有限。我们通过比较医院流感哨点监测(HBIS)平台与国家COVID-19平台的SARS-CoV-2检测,并评估其与流感监测的整合如何符合国家趋势,探讨了医院流感哨点监测(HBIS)平台在孟加拉国监测SARS-CoV-2的效用。方法:从2020年3月至2024年12月,我们分析了参加HBIS的严重急性呼吸道感染(SARI)和流感样疾病(ILI)患者的数据。记录社会人口学和临床数据,并使用rRT-PCR对鼻咽和口咽拭子进行流感和SARS-CoV-2检测。对一部分sars - cov -2阳性样本进行了全基因组测序。来自国家COVID-19平台的数据来自孟加拉国卫生服务总局,并使用流行曲线和Pearson相关分析与HBIS平台数据进行比较。结果在25,366例患者(SARI: 20,226例;ILI: 5140例)中,13.0%(3310例)流感检测阳性,6.6%(1680例)SARS-CoV-2检测阳性,0.2%(43例)合并感染。乙肝病毒感染者中SARS-CoV-2阳性(6.8%),包括0.2%的合并感染,低于全国平均水平(13.1%),但与全国趋势有很强的相关性(Pearson r = 0.86, P < 0.001)。对234株SARS-CoV-2株的测序分别于2021年4月和5月检测到β和δ变异,以及2022年至2024年流行的组粒亚变异,与国家COVID-19平台一致。HBIS平台的sars - cov -2阳性趋势与国家COVID-19平台密切相关,显示了其作为COVID-19可持续监测平台的潜力。我们的研究结果强调了流感哨点监测作为孟加拉国和类似环境中未来COVID-19疫情或其他大流行呼吸道病毒的早期预警系统的可行性。美国佐治亚州亚特兰大疾病预防控制中心(CDC)资助(U01GH002259)。
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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