Leveraging the influenza sentinel surveillance platform for SARS-CoV-2 monitoring in Bangladesh (2020–2024): a prospective sentinel surveillance studyResearch in context
Summary: 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 monit...
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2025-10-01
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| Series: | The Lancet Regional Health - Southeast Asia |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772368225001283 |
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| author | 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 Manjur Hossain Khan Jony Mahbubur Rahman Mahmudur Rahman Mohammad Abdul Aleem Fahmida Chowdhury |
| author_facet | 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 Manjur Hossain Khan Jony Mahbubur Rahman Mahmudur Rahman Mohammad Abdul Aleem Fahmida Chowdhury |
| author_sort | Md Ariful Islam |
| collection | DOAJ |
| description | Summary: 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). |
| format | Article |
| id | doaj-art-adcfe9de13454cae9d9bfb8ac108d7b5 |
| institution | Kabale University |
| issn | 2772-3682 |
| language | English |
| publishDate | 2025-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | The Lancet Regional Health - Southeast Asia |
| spelling | doaj-art-adcfe9de13454cae9d9bfb8ac108d7b52025-08-23T04:49:50ZengElsevierThe Lancet Regional Health - Southeast Asia2772-36822025-10-014110065710.1016/j.lansea.2025.100657Leveraging the influenza sentinel surveillance platform for SARS-CoV-2 monitoring in Bangladesh (2020–2024): a prospective sentinel surveillance studyResearch in contextMd Ariful Islam0Md Zakiul Hassan1Zubair Akhtar2Saju Bhuiya3Tanzir Ahmed Shuvo4Probir Kumar Ghosh5 Asadullah6Md Abdullah Al Jubayer Biswas7Mustafizur Rahman8Mohammad Jubair9Mst Noorjahan Begum10Yeasir Karim11Mohammed Ziaur Rahman12Mohammad Enayet Hossain13Mohammad Niaz Morshed Khan14Tahmina Shirin15Shah Niaz Md Rubaid Anwar16Ahmed Nawsher Alam17Mohammad Ferdous Rahman Sarker18 Monalisa19Manjur Hossain Khan Jony20Mahbubur Rahman21Mahmudur Rahman22Mohammad Abdul Aleem23Fahmida Chowdhury24International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, Bangladesh; School of Population Health, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia; Corresponding author. Infectious Diseases Division, icddr,b, Dhaka, 1212, Bangladesh.International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, Bangladesh; Department of Medicine, University of Oxford, Oxford, UKInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, Bangladesh; Biosecurity Program, Kirby Institute, University of New South Wales (UNSW), Sydney, NSW, 2052, AustraliaInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshInstitute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, 1212, BangladeshInstitute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, 1212, BangladeshInstitute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, 1212, BangladeshInstitute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, 1212, BangladeshInstitute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, 1212, BangladeshInstitute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, 1212, BangladeshInstitute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, 1212, BangladeshGlobal Health Development/EMPHNET, Dhaka, 1212, BangladeshInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, 1212, BangladeshSummary: 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).http://www.sciencedirect.com/science/article/pii/S2772368225001283COVID-19SARS-CoV-2InfluenzaMonitoringIntegrationSurveillance |
| spellingShingle | 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 Manjur Hossain Khan Jony Mahbubur Rahman Mahmudur Rahman Mohammad Abdul Aleem Fahmida Chowdhury Leveraging the influenza sentinel surveillance platform for SARS-CoV-2 monitoring in Bangladesh (2020–2024): a prospective sentinel surveillance studyResearch in context The Lancet Regional Health - Southeast Asia COVID-19 SARS-CoV-2 Influenza Monitoring Integration Surveillance |
| title | Leveraging the influenza sentinel surveillance platform for SARS-CoV-2 monitoring in Bangladesh (2020–2024): a prospective sentinel surveillance studyResearch in context |
| title_full | Leveraging the influenza sentinel surveillance platform for SARS-CoV-2 monitoring in Bangladesh (2020–2024): a prospective sentinel surveillance studyResearch in context |
| title_fullStr | Leveraging the influenza sentinel surveillance platform for SARS-CoV-2 monitoring in Bangladesh (2020–2024): a prospective sentinel surveillance studyResearch in context |
| title_full_unstemmed | Leveraging the influenza sentinel surveillance platform for SARS-CoV-2 monitoring in Bangladesh (2020–2024): a prospective sentinel surveillance studyResearch in context |
| title_short | Leveraging the influenza sentinel surveillance platform for SARS-CoV-2 monitoring in Bangladesh (2020–2024): a prospective sentinel surveillance studyResearch in context |
| title_sort | leveraging the influenza sentinel surveillance platform for sars cov 2 monitoring in bangladesh 2020 2024 a prospective sentinel surveillance studyresearch in context |
| topic | COVID-19 SARS-CoV-2 Influenza Monitoring Integration Surveillance |
| url | http://www.sciencedirect.com/science/article/pii/S2772368225001283 |
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