Lessons learned from identifying clusters of severe acute respiratory infections with influenza sentinel surveillance, Bangladesh, 2009-2020

• Published in: Influenza and other respiratory viruses 2023-09, Vol.17 (9), p.e13201
• Main Authors: Islam, Md Ariful, Hassan, Md Zakiul, Aleem, Mohammad Abdul, Akhtar, Zubair, Chowdhury, Sukanta, Rahman, Mustafizur, Rahman, Mohammed Ziaur, Ahmmed, Md Kaousar, Mah-E-Muneer, Syeda, Alamgir, A S M, Anwar, Shah Niaz Rubaid, Alam, Ahmed Nawsher, Shirin, Tahmina, Rahman, Mahmudur, Davis, William W, Mott, Joshua A, Azziz-Baumgartner, Eduardo, Chowdhury, Fahmida
• Format: Article
• Language: English
• Subjects: Bangladesh - epidemiology; Child, Preschool; Clusters; Coronaviruses; COVID-19; Emergency preparedness; Emergency response; Epidemiology; Female; Hospitals; Humans; Influenza; Influenza A; Influenza A Virus, H5N1 Subtype; Influenza A Virus, H7N9 Subtype; Influenza, Human - epidemiology; Laboratories; Male; Original; Outbreaks; Parainfluenza; Pneumonia; Polymerase chain reaction; Respiratory diseases; Respiratory syncytial virus; Respiratory tract infection; RNA-directed DNA polymerase; Sentinel Surveillance; Surveillance; Viruses
• ISSN: 1750-2640; 1750-2659; 1750-2659
• DOI: 10.1111/irv.13201

We explored whether hospital-based surveillance is useful in detecting severe acute respiratory infection (SARI) clusters and how often these events result in outbreak investigation and community mitigation. During May 2009-December 2020, physicians at 14 sentinel hospitals prospectively identified SARI clusters (i.e., ≥2 SARI cases who developed symptoms ≤10 days of each other and lived