Interaction Among Influenza Viruses A/H1N1, A/H3N2, and B in Japan.

Int J Environ Res Public Health

Graduate School of Medicine, Hokkaido University, Kita 15-Jo Nishi 7-Chome, Kita-ku, Sapporo-shi, Hokkaido 060-8638, Japan.

Published: October 2019

AI Article Synopsis

  • Seasonal influenza epidemics cause around 650,000 deaths globally each year and are characterized by interactions among different virus types.
  • A study in Japan from 2010 to 2019 found significant negative correlations in incidence between dominant influenza virus types, indicating that one type can suppress the activity of others.
  • The research suggests that understanding these interactions is crucial for predicting epidemic sizes and timing, highlighting the need for further investigation into factors like age and geography that may influence these dynamics.

Article Abstract

Seasonal influenza epidemics occur each winter season in temperate zones, involving up to 650,000 deaths each year globally. A published study demonstrated that the circulation of one influenza virus type during early influenza season in the United States interferes with the activity of other influenza virus types. However, this finding has yet to be validated in other settings. In the present work, we investigated the interaction among seasonal influenza viruses (A/H1N1, A/H3N2 and B) in Japan. Sentinel and virus surveillance data were used to estimate the type-specific incidence from 2010 to 2019, and statistical correlations among the type-specific incidence were investigated. We identified significant negative correlations between incidence of the dominant virus and the complementary incidence. When correlation was identified during the course of an epidemic, a linear regression model accurately predicted the epidemic size of a particular virus type before the epidemic peak. The peak of influenza type B took place later in the season than that of influenza A, although the epidemic peaks of influenza A/H1N1 and A/H3N2 nearly coincided. Given the interaction among different influenza viruses, underlying mechanisms including age and spatial dependence should be explored in future.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862093PMC
http://dx.doi.org/10.3390/ijerph16214179DOI Listing

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