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- W4213024650 abstract "With the advent of rapid multiplex PCR, physicians have been able to test for multiple viral pathogens when a patient presents with influenza-like illness. This has led to the discovery that many respiratory infections are caused by more than one virus. Antiviral treatment of viral coinfections can be complex because treatment of one virus will affect the time course of the other virus. Since effective antivirals are only available for some respiratory viruses, careful consideration needs to be given on the effect treating one virus will have on the dynamics of the other virus, which might not have available antiviral treatment. In this study, we use mathematical models of viral coinfections to assess the effect of antiviral treatment on coinfections. We examine the effect of the mechanism of action, relative growth rates of the viruses, and the assumptions underlying the interaction of the viruses. We find that high antiviral efficacy is needed to suppress both infections. If high doses of both antivirals are not achieved, then we run the risk of lengthening the duration of coinfection or even of allowing a suppressed virus to replicate to higher viral titers." @default.
- W4213024650 created "2022-02-24" @default.
- W4213024650 creator A5072981488 @default.
- W4213024650 creator A5086188078 @default.
- W4213024650 date "2022-02-23" @default.
- W4213024650 modified "2023-09-30" @default.
- W4213024650 title "Treatment of Respiratory Viral Coinfections" @default.
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- W4213024650 doi "https://doi.org/10.3390/epidemiologia3010008" @default.
- W4213024650 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36417269" @default.
- W4213024650 hasPublicationYear "2022" @default.
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