Cargando…

Modeling the effects of drug resistant influenza virus in a pandemic

Neuraminidase inhibitors (NI) play a major role in plans to mitigate future influenza pandemics. Modeling studies suggested that a pandemic may be contained at the source by early treatment and prophylaxis with antiviral drugs. Here, we examine the influence of NI resistant influenza strains on an i...

Descripción completa

Detalles Bibliográficos
Autores principales: Brockmann, Stefan O, Schwehm, Markus, Duerr, Hans-Peter, Witschi, Mark, Koch, Daniel, Vidondo, Beatriz, Eichner, Martin
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2590604/
https://www.ncbi.nlm.nih.gov/pubmed/18973656
http://dx.doi.org/10.1186/1743-422X-5-133
_version_ 1782161346884796416
author Brockmann, Stefan O
Schwehm, Markus
Duerr, Hans-Peter
Witschi, Mark
Koch, Daniel
Vidondo, Beatriz
Eichner, Martin
author_facet Brockmann, Stefan O
Schwehm, Markus
Duerr, Hans-Peter
Witschi, Mark
Koch, Daniel
Vidondo, Beatriz
Eichner, Martin
author_sort Brockmann, Stefan O
collection PubMed
description Neuraminidase inhibitors (NI) play a major role in plans to mitigate future influenza pandemics. Modeling studies suggested that a pandemic may be contained at the source by early treatment and prophylaxis with antiviral drugs. Here, we examine the influence of NI resistant influenza strains on an influenza pandemic. We extend the freely available deterministic simulation program InfluSim to incorporate importations of resistant infections and the emergence of de novo resistance. The epidemic with the fully drug sensitive strain leads to a cumulative number of 19,500 outpatients and 258 hospitalizations, respectively, per 100,000 inhabitants. Development of de novo resistance alone increases the total number of outpatients by about 6% and hospitalizations by about 21%. If a resistant infection is introduced into the population after three weeks, the outcome dramatically deteriorates. Wide-spread use of NI treatment makes it highly likely that the resistant strain will spread if its fitness is high. This situation is further aggravated if a resistant virus is imported into a country in the early phase of an outbreak. As NI-resistant influenza infections with high fitness and pathogenicity have just been observed, the emergence of drug resistance in treated populations and the transmission of drug resistant strains is an important public health concern for seasonal and pandemic influenza.
format Text
id pubmed-2590604
institution National Center for Biotechnology Information
language English
publishDate 2008
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-25906042008-11-29 Modeling the effects of drug resistant influenza virus in a pandemic Brockmann, Stefan O Schwehm, Markus Duerr, Hans-Peter Witschi, Mark Koch, Daniel Vidondo, Beatriz Eichner, Martin Virol J Short Report Neuraminidase inhibitors (NI) play a major role in plans to mitigate future influenza pandemics. Modeling studies suggested that a pandemic may be contained at the source by early treatment and prophylaxis with antiviral drugs. Here, we examine the influence of NI resistant influenza strains on an influenza pandemic. We extend the freely available deterministic simulation program InfluSim to incorporate importations of resistant infections and the emergence of de novo resistance. The epidemic with the fully drug sensitive strain leads to a cumulative number of 19,500 outpatients and 258 hospitalizations, respectively, per 100,000 inhabitants. Development of de novo resistance alone increases the total number of outpatients by about 6% and hospitalizations by about 21%. If a resistant infection is introduced into the population after three weeks, the outcome dramatically deteriorates. Wide-spread use of NI treatment makes it highly likely that the resistant strain will spread if its fitness is high. This situation is further aggravated if a resistant virus is imported into a country in the early phase of an outbreak. As NI-resistant influenza infections with high fitness and pathogenicity have just been observed, the emergence of drug resistance in treated populations and the transmission of drug resistant strains is an important public health concern for seasonal and pandemic influenza. BioMed Central 2008-10-30 /pmc/articles/PMC2590604/ /pubmed/18973656 http://dx.doi.org/10.1186/1743-422X-5-133 Text en Copyright © 2008 Brockmann et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Short Report
Brockmann, Stefan O
Schwehm, Markus
Duerr, Hans-Peter
Witschi, Mark
Koch, Daniel
Vidondo, Beatriz
Eichner, Martin
Modeling the effects of drug resistant influenza virus in a pandemic
title Modeling the effects of drug resistant influenza virus in a pandemic
title_full Modeling the effects of drug resistant influenza virus in a pandemic
title_fullStr Modeling the effects of drug resistant influenza virus in a pandemic
title_full_unstemmed Modeling the effects of drug resistant influenza virus in a pandemic
title_short Modeling the effects of drug resistant influenza virus in a pandemic
title_sort modeling the effects of drug resistant influenza virus in a pandemic
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2590604/
https://www.ncbi.nlm.nih.gov/pubmed/18973656
http://dx.doi.org/10.1186/1743-422X-5-133
work_keys_str_mv AT brockmannstefano modelingtheeffectsofdrugresistantinfluenzavirusinapandemic
AT schwehmmarkus modelingtheeffectsofdrugresistantinfluenzavirusinapandemic
AT duerrhanspeter modelingtheeffectsofdrugresistantinfluenzavirusinapandemic
AT witschimark modelingtheeffectsofdrugresistantinfluenzavirusinapandemic
AT kochdaniel modelingtheeffectsofdrugresistantinfluenzavirusinapandemic
AT vidondobeatriz modelingtheeffectsofdrugresistantinfluenzavirusinapandemic
AT eichnermartin modelingtheeffectsofdrugresistantinfluenzavirusinapandemic