Detection of Influenza and Other Respiratory Pathogens by RT-qPCR and Characterization by Genomic Sequencing Using ILI/SARI Hospital-Based Sentinel Surveillance System

Limited surveillance and laboratory testing for non-influenza viruses remains a challenge in Uganda. The World Health Organization (WHO) designated National Influenza Center (NIC) tested samples from patients with influenza-like illness (ILI) and severe acute respiratory infections (SARIs) during August 2022-February 2023. We leveraged the influenza sentinel surveillance system to detect other respiratory viruses (ORVs). Samples were tested using the US Centers for Disease Control and Prevention (CDC) influenza and SARS-CoV-2 multiplex and the FTD<sup>TM</sup> Respiratory Pathogens 21 assays using real-time reverse transcription polymerase chain reaction (RT-qPCR). A total of 687 (ILI = 471 (68.6%) and SARI = 216 (31.4%) samples were tested. The median age was 2 years (IQR: 1-25) for ILI and 6 years (IQR: 1-18) for SARI case definitions (<i>p</i>-value = 0.045). One or more respiratory pathogens were detected in 38.7% (<i>n</i> = 266) of all samples; 33 (12.4%) were selected for metagenomics sequencing and 8 (3%) for SARS-CoV-2 targeted sequencing. Respiratory pathogens were detected by sequencing in 23 of 33 (69.7%) samples. Our study provides insight into the usefulness of this surveillance system in conducting virological testing for other viruses and provides tools and evidence to monitor patterns and characteristics of viruses causing ILI/SARI, which will guide public health decisions and interventions in Uganda.

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Publication Details

Journal
Viruses
Published
2025-08-18
DOI
https://doi.org/10.3390/v17081131
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
0.00

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article

Detection of Influenza and Other Respiratory Pathogens by RT-qPCR and Characterization by Genomic Sequencing Using ILI/SARI Hospital-Based Sentinel Surveillance System

Ray Ransom, Joweria Nakaseegu, Barnabas Bakamutumaho, David Odongo et al.
Viruses
Respiratory viral infections research
article

Detection of Influenza and Other Respiratory Pathogens by RT-qPCR and Characterization by Genomic Sequencing Using ILI/SARI Hospital-Based Sentinel Surveillance System

Ray Ransom, Joweria Nakaseegu, Barnabas Bakamutumaho, David Odongo, Amy L. Boore, Chelsea Harrington, John Kayiwa, Samuel Wasike, Julius J. Lutwama, Thomas Nsibambi, Nicholas Owor, Adam W. Crawley, Ben M. Andagalu, Julius Ssempiira, Charity Angella Nassuna, Jocelyn Kiconco, Noel Ayuro, Esther Amwine, Bridget Nakamoga, Fahim Yiga
article en

Abstract

Limited surveillance and laboratory testing for non-influenza viruses remains a challenge in Uganda. The World Health Organization (WHO) designated National Influenza Center (NIC) tested samples from patients with influenza-like illness (ILI) and severe acute respiratory infections (SARIs) during August 2022-February 2023. We leveraged the influenza sentinel surveillance system to detect other respiratory viruses (ORVs). Samples were tested using the US Centers for Disease Control and Prevention (CDC) influenza and SARS-CoV-2 multiplex and the FTD<sup>TM</sup> Respiratory Pathogens 21 assays using real-time reverse transcription polymerase chain reaction (RT-qPCR). A total of 687 (ILI = 471 (68.6%) and SARI = 216 (31.4%) samples were tested. The median age was 2 years (IQR: 1-25) for ILI and 6 years (IQR: 1-18) for SARI case definitions (<i>p</i>-value = 0.045). One or more respiratory pathogens were detected in 38.7% (<i>n</i> = 266) of all samples; 33 (12.4%) were selected for metagenomics sequencing and 8 (3%) for SARS-CoV-2 targeted sequencing. Respiratory pathogens were detected by sequencing in 23 of 33 (69.7%) samples. Our study provides insight into the usefulness of this surveillance system in conducting virological testing for other viruses and provides tools and evidence to monitor patterns and characteristics of viruses causing ILI/SARI, which will guide public health decisions and interventions in Uganda.

VirusesVol. 17(8)
Centers for Disease Control and Prevention (UG), Uganda Virus Research Institute (UG)
Centers for Disease Control and Prevention
Openalex Percentile: Top 71%
Respiratory viral infections research
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