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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jul 19, 2023
Date Accepted: Feb 2, 2024
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Use of Sentinel Surveillance Platforms for Monitoring SARS-CoV-2 Activity: Evidence From Analysis of Kenya Influenza Sentinel Surveillance Data

Owusu D, Ndegwa LK, Ayugi J, Kinuthia P, kalani R, Okeyo M, Otieno N, Kikwai G, Wachakone B, Munyua P, Kuria F, Okunga E, Moen AC, Emukule GO

Use of Sentinel Surveillance Platforms for Monitoring SARS-CoV-2 Activity: Evidence From Analysis of Kenya Influenza Sentinel Surveillance Data

JMIR Public Health Surveill 2024;10:e50799

DOI: 10.2196/50799

PMID: 38526537

PMCID: 11002741

Utility of Sentinel Surveillance Platforms for Monitoring SARS-CoV-2 Activity: Evidence from Analysis of Kenya Influenza Sentinel Surveillance Data

  • Daniel Owusu; 
  • Linus K. Ndegwa; 
  • Jorim Ayugi; 
  • Peter Kinuthia; 
  • Rosalia kalani; 
  • MARY Okeyo; 
  • Nancy Otieno; 
  • Gilbert Kikwai; 
  • Bonventure Wachakone; 
  • Peninah Munyua; 
  • Francis Kuria; 
  • Emmanuel Okunga; 
  • Ann C. Moen; 
  • Gideon O. Emukule

ABSTRACT

Background:

Little is known about levels of co-circulation of influenza and SARS-CoV-2 viruses during the COVID-19 pandemic and their impact on disease severity in sub-Saharan Africa.

Objective:

We aimed to describe influenza and SARS-CoV-2 co-circulation in Kenya and how the SARS-CoV-2 data from influenza sentinel surveillance correlated with that of universal national surveillance.

Methods:

We used epidemic curves and the Pearson's r to describe the correlation between SARS-CoV-2 positivity in data from eight influenza sentinel sites in Kenya and that of the universal national SARS-CoV-2 surveillance data obtained from the Kenya Ministry of Health. We used a logistic regression model to assess association between influenza and SARS-CoV-2 co-infection with severe clinical illness. Severe clinical illness was defined as any of oxygen saturation <90%, in-hospital death, admission to intensive care unit (ICU)/High Dependance Unit (HDU), mechanical ventilation, or a report of any danger sign (for children <5 years) among hospitalized patients.

Results:

We enrolled 7,349 patients from influenza sentinel surveillance sites during April 2020 through Mar 2022 and 76.3% were aged <5 years. We detected any influenza (A or B) in 8.7% (629/7,224), SARS-CoV-2 in 10.7% (768/7,199), and co-infection in 0.9% (63/7,165) samples tested. Although the number of samples tested for SARS-CoV-2 from the sentinel surveillance was only 0.2% of the number tested in the universal national surveillance (60/week vs 36,000/week), SARS-CoV-2 positivity in the sentinel surveillance data significantly correlated with that of the universal national surveillance (Pearson's r=0.58, p<.001). The odds of clinical severe illness among participants with co-infection were similar to those of patients with influenza only (aOR: 0.91; 95% CI: 0.47–1.79) and SARS-CoV-2 only (aOR: 0.92; 95% CI: 0.47–1.82).

Conclusions:

Influenza substantially co-circulated with SARS-CoV-2 in Kenya. We found significant correlation of SARS-CoV-2 positivity in the data from eight influenza sentinel surveillance sites with that of the universal national SARS-CoV-2 surveillance data. Our findings highlight the utility of influenza sentinel surveillance system as a sustainable platform for monitoring respiratory pathogens of pandemic potential or public health importance.


 Citation

Please cite as:

Owusu D, Ndegwa LK, Ayugi J, Kinuthia P, kalani R, Okeyo M, Otieno N, Kikwai G, Wachakone B, Munyua P, Kuria F, Okunga E, Moen AC, Emukule GO

Use of Sentinel Surveillance Platforms for Monitoring SARS-CoV-2 Activity: Evidence From Analysis of Kenya Influenza Sentinel Surveillance Data

JMIR Public Health Surveill 2024;10:e50799

DOI: 10.2196/50799

PMID: 38526537

PMCID: 11002741

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