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Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 J+Clin+Virol 2021 ; 134 (ä): 104709 Nephropedia Template TP
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Self-reported influenza and influenza-like symptoms in U S adults age 18-64 between September 1, 2019 and April 15, 2020 #MMPMID33291059
Lennon RP; Miller EL; Snyder B; Van Scoy LJ
J Clin Virol 2021[Jan]; 134 (ä): 104709 PMID33291059show ga
BACKGROUND: The Influenza-like Illness Surveillance Network (ILINet) can indicate the presence of novel, widespread community pathogens. Comparing week-to-week reported influenza-like illness percentages may identify the time of year a novel pathogen is introduced. However, changes in health-seeking behavior during the COVID-19 pandemic call in to question the reliability of 2019-2020 ILINet data as a comparison to prior years, potentially rendering this system less reliable as a novel pathogen surveillance tool. Corroboration of trends seen in the 2019-2020 ILINet data lends confidence to the validity of those trends. This study compares predicted versus reported influenza and influenza-like illnesses in vaccinated adults as a surrogate measure of novel pathogen surveillance. METHODS: An online survey was used to ask US adults their influenza vaccination status, whether they were diagnosed with influenza after vaccination, and whether they experienced an influenza-like illness other than flu. RESULTS: Prevalence of self-reported flu diagnosis in adults age 18-64 who received the flu vaccine between September 1, 2019 and April 15, 2020 (n = 3,225) was 5.8 %, while self-reported flu or flu-like illness (without a flu diagnosis) was 17.9 %. CONCLUSION: Flu and flu-like illness in this sample of flu-vaccinated U.S. adults is significantly higher than predicted, consistent with substantially higher ILI's in 2019-20 compared to ILI's from 2018-19, suggesting that the ILI values reported during the COVID-19 pandemic may be appropriate for comparison to prior years.
|*Pandemics[MESH]
|Adolescent[MESH]
|Adult[MESH]
|COVID-19/*epidemiology[MESH]
|Female[MESH]
|Health Surveys/statistics & numerical data[MESH]
|Humans[MESH]
|Immunologic Surveillance[MESH]
|Influenza A Virus, H1N1 Subtype/pathogenicity[MESH]