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Modeling mitigation of influenza epidemics by baloxavir
Influenza viruses annually kill 290,000–650,000 people worldwide. Antivirals can reduce death tolls. Baloxavir, the recently approved influenza antiviral, inhibits initiation of viral mRNA synthesis, whereas oseltamivir, an older drug, inhibits release of virus progeny. Baloxavir blocks virus replic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265527/ https://www.ncbi.nlm.nih.gov/pubmed/32487990 http://dx.doi.org/10.1038/s41467-020-16585-y |
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author | Du, Zhanwei Nugent, Ciara Galvani, Alison P. Krug, Robert M. Meyers, Lauren Ancel |
author_facet | Du, Zhanwei Nugent, Ciara Galvani, Alison P. Krug, Robert M. Meyers, Lauren Ancel |
author_sort | Du, Zhanwei |
collection | PubMed |
description | Influenza viruses annually kill 290,000–650,000 people worldwide. Antivirals can reduce death tolls. Baloxavir, the recently approved influenza antiviral, inhibits initiation of viral mRNA synthesis, whereas oseltamivir, an older drug, inhibits release of virus progeny. Baloxavir blocks virus replication more rapidly and completely than oseltamivir, reducing the duration of infectiousness. Hence, early baloxavir treatment may indirectly prevent transmission. Here, we estimate impacts of ramping up and accelerating baloxavir treatment on population-level incidence using a new model that links viral load dynamics from clinical trial data to between-host transmission. We estimate that ~22 million infections and >6,000 deaths would have been averted in the 2017–2018 epidemic season by administering baloxavir to 30% of infected cases within 48 h after symptom onset. Treatment within 24 h would almost double the impact. Consequently, scaling up early baloxavir treatment would substantially reduce influenza morbidity and mortality every year. The development of antivirals against the SARS-CoV2 virus that function like baloxavir might similarly curtail transmission and save lives. |
format | Online Article Text |
id | pubmed-7265527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72655272020-06-12 Modeling mitigation of influenza epidemics by baloxavir Du, Zhanwei Nugent, Ciara Galvani, Alison P. Krug, Robert M. Meyers, Lauren Ancel Nat Commun Article Influenza viruses annually kill 290,000–650,000 people worldwide. Antivirals can reduce death tolls. Baloxavir, the recently approved influenza antiviral, inhibits initiation of viral mRNA synthesis, whereas oseltamivir, an older drug, inhibits release of virus progeny. Baloxavir blocks virus replication more rapidly and completely than oseltamivir, reducing the duration of infectiousness. Hence, early baloxavir treatment may indirectly prevent transmission. Here, we estimate impacts of ramping up and accelerating baloxavir treatment on population-level incidence using a new model that links viral load dynamics from clinical trial data to between-host transmission. We estimate that ~22 million infections and >6,000 deaths would have been averted in the 2017–2018 epidemic season by administering baloxavir to 30% of infected cases within 48 h after symptom onset. Treatment within 24 h would almost double the impact. Consequently, scaling up early baloxavir treatment would substantially reduce influenza morbidity and mortality every year. The development of antivirals against the SARS-CoV2 virus that function like baloxavir might similarly curtail transmission and save lives. Nature Publishing Group UK 2020-06-02 /pmc/articles/PMC7265527/ /pubmed/32487990 http://dx.doi.org/10.1038/s41467-020-16585-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Du, Zhanwei Nugent, Ciara Galvani, Alison P. Krug, Robert M. Meyers, Lauren Ancel Modeling mitigation of influenza epidemics by baloxavir |
title | Modeling mitigation of influenza epidemics by baloxavir |
title_full | Modeling mitigation of influenza epidemics by baloxavir |
title_fullStr | Modeling mitigation of influenza epidemics by baloxavir |
title_full_unstemmed | Modeling mitigation of influenza epidemics by baloxavir |
title_short | Modeling mitigation of influenza epidemics by baloxavir |
title_sort | modeling mitigation of influenza epidemics by baloxavir |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265527/ https://www.ncbi.nlm.nih.gov/pubmed/32487990 http://dx.doi.org/10.1038/s41467-020-16585-y |
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