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After the threat of highly pathogenic avian influenza in 2004, the Centers for Disease Control and Prevention (CDC) began an international capacity-strengthening program with national governments across the globe. The [...]

The World Health Organization (WHO) Global Agenda on Influenza, published in the Weekly Epidemiological Report (WER) on 7 June 2002, was formulated by a consensus of influenza experts and identified strengthening national and international surveillance systems as a major priority. The benefits of improving surveillance include enhancing data available for vaccine strain selection and expanding the “early warning system” for the detection of variant strains of influenza, including those with pandemic potential. Evaluating the activities and physical facilities of the National Influenza Centers (NICs) was one of the key action steps identified in the WHO Global Agenda. An assessment of NICS was conducted using a survey tool developed by WHO. A synopsis of the preliminary results of this survey was published in the Weekly Epidemiological Report on 18 October 2002. A draft Action Plan for strengthening the global influenza surveillance system has been developed as a result of the assessment. A brief description of the assessment tool and key components of the draft Action Plan are outlined here. [Copyright &y& Elsevier]

Background: Little is known about the cocirculation of influenza and SARS-CoV-2 viruses during the COVID-19 pandemic and the use of respiratory disease sentinel surveillance platforms for monitoring SARS-CoV-2 activity in sub-Saharan Africa., Objective: We aimed to describe influenza and SARS-CoV-2 cocirculation in Kenya and how the SARS-CoV-2 data from influenza sentinel surveillance correlated with that of universal national surveillance., Methods: From April 2020 to March 2022, we enrolled 7349 patients with severe acute respiratory illness or influenza-like illness at 8 sentinel influenza surveillance sites in Kenya and collected demographic, clinical, underlying medical condition, vaccination, and exposure information, as well as respiratory specimens, from them. Respiratory specimens were tested for influenza and SARS-CoV-2 by real-time reverse transcription polymerase chain reaction. The universal national-level SARS-CoV-2 data were also obtained from the Kenya Ministry of Health. The universal national-level SARS-CoV-2 data were collected from all health facilities nationally, border entry points, and contact tracing in Kenya. Epidemic curves and Pearson r were used to describe the correlation between SARS-CoV-2 positivity in data from the 8 influenza sentinel sites in Kenya and that of the universal national SARS-CoV-2 surveillance data. A logistic regression model was used to assess the association between influenza and SARS-CoV-2 coinfection with severe clinical illness. We defined severe clinical illness as any of oxygen saturation <90%, in-hospital death, admission to intensive care unit or high dependence unit, mechanical ventilation, or a report of any danger sign (ie, inability to drink or eat, severe vomiting, grunting, stridor, or unconsciousness in children younger than 5 years) among patients with severe acute respiratory illness., Results: Of the 7349 patients from the influenza sentinel surveillance sites, 76.3% (n=5606) were younger than 5 years. We detected any influenza (A or B) in 8.7% (629/7224), SARS-CoV-2 in 10.7% (768/7199), and coinfection in 0.9% (63/7165) of samples tested. Although the number of samples tested for SARS-CoV-2 from the sentinel surveillance was only 0.2% (60 per week vs 36,000 per week) of the number tested in the universal national surveillance, SARS-CoV-2 positivity in the sentinel surveillance data significantly correlated with that of the universal national surveillance (Pearson r=0.58; P<.001). The adjusted odds ratios (aOR) of clinical severe illness among participants with coinfection 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 cocirculated with SARS-CoV-2 in Kenya. We found a significant correlation of SARS-CoV-2 positivity in the data from 8 influenza sentinel surveillance sites with that of the universal national SARS-CoV-2 surveillance data. Our findings indicate that the influenza sentinel surveillance system can be used as a sustainable platform for monitoring respiratory pathogens of pandemic potential or public health importance., (©Daniel Owusu, Linus K Ndegwa, Jorim Ayugi, Peter Kinuthia, Rosalia Kalani, Mary Okeyo, Nancy A Otieno, Gilbert Kikwai, Bonventure Juma, Peninah Munyua, Francis Kuria, Emmanuel Okunga, Ann C Moen, Gideon O Emukule. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 25.03.2024.)