Distinct influenza surveillance networks and their agreement in recording regional influenza circulation: Experience from Southeast Michigan

Autor: Arnold S. Monto, E.J. McSpadden, Emileigh Johnson, Joshua G. Petrie, Peter M. DeJonge, Hannah E Segaloff, Amy P Callear, Rachel Truscon, Ryan E. Malosh, Emily T. Martin, Latifa Bazzi, Caroline Cheng
Rok vydání: 2021
Předmět:
Zdroj: Influenza and other respiratory viruses. 16(3)
ISSN: 1750-2659
Popis: Introduction In Southeast Michigan, active surveillance studies monitor influenza activity in hospitals, ambulatory clinics, and community households. Across five respiratory seasons, we assessed the contribution of data from each of the three networks towards improving our overall understanding of regional influenza circulation. Methods All three networks used case definitions for acute respiratory illness (ARI) and molecularly tested for influenza from research-collected respiratory specimens. Age- and network-stratified epidemic curves were created for influenza A and B. We compared stratified epidemic curves visually and by centering at seasonal midpoints. Results Across all seasons (from 2014/2015 through 2018/2019), epidemic curves from each of the three networks were comparable in terms of both timing and magnitude. Small discrepancies in epidemics recorded by each network support previous conclusions about broader characteristics of particular influenza seasons. Conclusion Influenza surveillance systems based in hospital, ambulatory clinic, and community household settings appear to provide largely similar information regarding regional epidemic activity. Together, multiple levels of influenza surveillance provide a detailed view of regional influenza epidemics, but a single surveillance system-regardless of population subgroup monitored-appears to be sufficient in providing vital information regarding community influenza epidemics.
Databáze: OpenAIRE