tetano
Editor, Senior Moderator
The interplay of influenza and COVID-19 in Germany, January 2020 - December 2022: a study of competitive disease dynamics with quarantine measures and partial cross-immunity
Anna Daniel Fome[SUP] 1 2 [/SUP], Isti Rodiah[SUP] 3 [/SUP], Wolfgang Bock[SUP] 4 [/SUP], Berit Lange[SUP] 3 5 [/SUP], Axel Klar[SUP] 1 [/SUP]
Affiliations
We study the dynamics of coexisting influenza and SARS-CoV-2 by adapting a well-established age-specific COVID-19 model to a multi-pathogen framework. Sensitivity analysis and adjustment of the model to real-world data are used to investigate the influence of age-related factors on disease dynamics. Our findings underscore the critical role that transmission rates play in shaping the spread of influenza and COVID-19. Furthermore, our analysis highlights the significant interaction between influenza and SARS-CoV-2 transmission rates, particularly in scenarios with partial cross-immunity. This underscores the importance of comprehensive interventions that simultaneously target both pathogens to effectively control their spread in coexisting environments. Our results demonstrate the importance of age-structured models in capturing the dynamics of influenza and COVID-19, underscoring the importance of accounting for age structure. Notable disparities emerge in estimated transmission rates between single-pathogen and multi-pathogen models, shedding light on the complex interactions between pathogens and their impacts on disease transmission across different age groups.
Keywords: Age-stratified model; COVID-19; Co-existence; Competition; Cross-immunity; Influenza; Multi-pathogen.
Anna Daniel Fome[SUP] 1 2 [/SUP], Isti Rodiah[SUP] 3 [/SUP], Wolfgang Bock[SUP] 4 [/SUP], Berit Lange[SUP] 3 5 [/SUP], Axel Klar[SUP] 1 [/SUP]
Affiliations
- PMID: 40926205
- DOI: 10.1186/s12889-025-24362-z
We study the dynamics of coexisting influenza and SARS-CoV-2 by adapting a well-established age-specific COVID-19 model to a multi-pathogen framework. Sensitivity analysis and adjustment of the model to real-world data are used to investigate the influence of age-related factors on disease dynamics. Our findings underscore the critical role that transmission rates play in shaping the spread of influenza and COVID-19. Furthermore, our analysis highlights the significant interaction between influenza and SARS-CoV-2 transmission rates, particularly in scenarios with partial cross-immunity. This underscores the importance of comprehensive interventions that simultaneously target both pathogens to effectively control their spread in coexisting environments. Our results demonstrate the importance of age-structured models in capturing the dynamics of influenza and COVID-19, underscoring the importance of accounting for age structure. Notable disparities emerge in estimated transmission rates between single-pathogen and multi-pathogen models, shedding light on the complex interactions between pathogens and their impacts on disease transmission across different age groups.
Keywords: Age-stratified model; COVID-19; Co-existence; Competition; Cross-immunity; Influenza; Multi-pathogen.