Competitive evolution of H1N1 and H3N2 influenza viruses in the United States: A mathematical modeling study
Issued Date
2022-12-21
Resource Type
ISSN
00225193
eISSN
10958541
Scopus ID
2-s2.0-85139422156
Pubmed ID
36179800
Journal Title
Journal of Theoretical Biology
Volume
555
Rights Holder(s)
SCOPUS
Bibliographic Citation
Journal of Theoretical Biology Vol.555 (2022)
Suggested Citation
Wilasang C., Suttirat P., Chadsuthi S., Wiratsudakul A., Modchang C. Competitive evolution of H1N1 and H3N2 influenza viruses in the United States: A mathematical modeling study. Journal of Theoretical Biology Vol.555 (2022). doi:10.1016/j.jtbi.2022.111292 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/83060
Title
Competitive evolution of H1N1 and H3N2 influenza viruses in the United States: A mathematical modeling study
Other Contributor(s)
Abstract
Seasonal influenza causes vast public health and economic impact globally. The prevention and control of the annual epidemics remain a challenge due to the antigenic evolution of the viruses. Here, we presented a novel modeling framework based on changes in amino acid sequences and relevant epidemiological data to retrospectively investigate the competitive evolution and transmission of H1N1 and H3N2 influenza viruses in the United States during October 2002 and April 2019. To do so, we estimated the time-varying disease transmission rate from the reported influenza cases and the time-varying antigenic change rate of the viruses from the changes in amino acid sequences. By incorporating the time-varying antigenic change rate into the transmission models, we found that the models could capture the evolutionary transmission dynamics of influenza viruses in the United States. Our modeling results also showed that the antigenic change of the virus plays an essential role in seasonal influenza dynamics.