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Nat Commun
. 2024 Nov 20;15(1):10066.
doi: 10.1038/s41467-024-53872-4. Characterizing the interactions between influenza and respiratory syncytial viruses and their implications for epidemic control
Sarah C Kramer 1 , Sarah Pirikahu 2 , Jean-Sébastien Casalegno 3 4 5 , Matthieu Domenech de Cellès 2
Affiliations
Pathogen-pathogen interactions represent a critical but little-understood feature of infectious disease dynamics. In particular, experimental evidence suggests that influenza virus and respiratory syncytial virus (RSV) compete with each other, such that infection with one confers temporary protection against the other. However, such interactions are challenging to study using common epidemiologic methods. Here, we use a mathematical modeling approach, in conjunction with detailed surveillance data from Hong Kong and Canada, to infer the strength and duration of the interaction between influenza and RSV. Based on our estimates, we further utilize our model to evaluate the potential conflicting effects of live attenuated influenza vaccines (LAIV) on RSV burden. We find evidence of a moderate to strong, negative, bidirectional interaction, such that infection with either virus yields 40-100% protection against infection with the other for one to five months. Assuming that LAIV reduces RSV susceptibility in a similar manner, we predict that the impact of such a vaccine at the population level would likely depend greatly on underlying viral circulation patterns. More broadly, we highlight the utility of mathematical models as a tool to characterize pathogen-pathogen interactions.
. 2024 Nov 20;15(1):10066.
doi: 10.1038/s41467-024-53872-4. Characterizing the interactions between influenza and respiratory syncytial viruses and their implications for epidemic control
Sarah C Kramer 1 , Sarah Pirikahu 2 , Jean-Sébastien Casalegno 3 4 5 , Matthieu Domenech de Cellès 2
Affiliations
- PMID: 39567519
- PMCID: PMC11579344
- DOI: 10.1038/s41467-024-53872-4
Pathogen-pathogen interactions represent a critical but little-understood feature of infectious disease dynamics. In particular, experimental evidence suggests that influenza virus and respiratory syncytial virus (RSV) compete with each other, such that infection with one confers temporary protection against the other. However, such interactions are challenging to study using common epidemiologic methods. Here, we use a mathematical modeling approach, in conjunction with detailed surveillance data from Hong Kong and Canada, to infer the strength and duration of the interaction between influenza and RSV. Based on our estimates, we further utilize our model to evaluate the potential conflicting effects of live attenuated influenza vaccines (LAIV) on RSV burden. We find evidence of a moderate to strong, negative, bidirectional interaction, such that infection with either virus yields 40-100% protection against infection with the other for one to five months. Assuming that LAIV reduces RSV susceptibility in a similar manner, we predict that the impact of such a vaccine at the population level would likely depend greatly on underlying viral circulation patterns. More broadly, we highlight the utility of mathematical models as a tool to characterize pathogen-pathogen interactions.