Cargando…

Design of non-pharmaceutical intervention strategies for pandemic influenza outbreaks

BACKGROUND: As seen during past pandemic influenza outbreaks, pharmaceutical interventions (PHIs) with vaccines and antivirals are the most effective methods of mitigation. However, availability of PHIs is unlikely to be adequate during the early stages of a pandemic. Hence, for early mitigation and...

Descripción completa

Detalles Bibliográficos
Autores principales: Martinez, Dayna L, Das, Tapas K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532250/
https://www.ncbi.nlm.nih.gov/pubmed/25547377
http://dx.doi.org/10.1186/1471-2458-14-1328
_version_ 1782385202422611968
author Martinez, Dayna L
Das, Tapas K
author_facet Martinez, Dayna L
Das, Tapas K
author_sort Martinez, Dayna L
collection PubMed
description BACKGROUND: As seen during past pandemic influenza outbreaks, pharmaceutical interventions (PHIs) with vaccines and antivirals are the most effective methods of mitigation. However, availability of PHIs is unlikely to be adequate during the early stages of a pandemic. Hence, for early mitigation and possible containment, non-pharmaceutical interventions (NPIs) offer a viable alternative. Also, NPIs may be the only available interventions for most underdeveloped countries. In this paper we present a comprehensive methodology for design of effective NPI strategies. METHODS: We develop a statistical ANOVA-based design approach that uses a detailed agent-based simulation as an underlying model. The design approach obtains the marginal effect of the characteristic parameters of NPIs, social behavior, and their interactions on various pandemic outcome measures including total number of contacts, infections, and deaths. We use the marginal effects to establish regression equations for the outcome measures, which are optimized to obtain NPI strategies. Efficacy of the NPI strategies designed using our methodology is demonstrated using simulated pandemic influenza outbreaks with different levels of virus transmissibility. RESULTS: Our methodology was able to design effective NPI strategies, which were able to contain outbreaks by reducing infection attack rates (IAR) to below 10% in low and medium virus transmissibility scenarios with 33% and 50% IAR, respectively. The level of reduction in the high transmissibility scenario (with 65% IAR) was also significant. As noted in the published literature, we also found school closure to be the single most effective intervention among all NPIs. CONCLUSIONS: If harnessed effectively, NPIs offer a significant potential for mitigation of pandemic influenza outbreaks. The methodology presented here fills a gap in the literature, which, though replete with models on NPI strategy evaluation, lacks a treatise on optimal strategy design. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2458-14-1328) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4532250
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-45322502015-08-12 Design of non-pharmaceutical intervention strategies for pandemic influenza outbreaks Martinez, Dayna L Das, Tapas K BMC Public Health Research Article BACKGROUND: As seen during past pandemic influenza outbreaks, pharmaceutical interventions (PHIs) with vaccines and antivirals are the most effective methods of mitigation. However, availability of PHIs is unlikely to be adequate during the early stages of a pandemic. Hence, for early mitigation and possible containment, non-pharmaceutical interventions (NPIs) offer a viable alternative. Also, NPIs may be the only available interventions for most underdeveloped countries. In this paper we present a comprehensive methodology for design of effective NPI strategies. METHODS: We develop a statistical ANOVA-based design approach that uses a detailed agent-based simulation as an underlying model. The design approach obtains the marginal effect of the characteristic parameters of NPIs, social behavior, and their interactions on various pandemic outcome measures including total number of contacts, infections, and deaths. We use the marginal effects to establish regression equations for the outcome measures, which are optimized to obtain NPI strategies. Efficacy of the NPI strategies designed using our methodology is demonstrated using simulated pandemic influenza outbreaks with different levels of virus transmissibility. RESULTS: Our methodology was able to design effective NPI strategies, which were able to contain outbreaks by reducing infection attack rates (IAR) to below 10% in low and medium virus transmissibility scenarios with 33% and 50% IAR, respectively. The level of reduction in the high transmissibility scenario (with 65% IAR) was also significant. As noted in the published literature, we also found school closure to be the single most effective intervention among all NPIs. CONCLUSIONS: If harnessed effectively, NPIs offer a significant potential for mitigation of pandemic influenza outbreaks. The methodology presented here fills a gap in the literature, which, though replete with models on NPI strategy evaluation, lacks a treatise on optimal strategy design. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2458-14-1328) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-29 /pmc/articles/PMC4532250/ /pubmed/25547377 http://dx.doi.org/10.1186/1471-2458-14-1328 Text en © Martinez and Das; licensee BioMed Central. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Martinez, Dayna L
Das, Tapas K
Design of non-pharmaceutical intervention strategies for pandemic influenza outbreaks
title Design of non-pharmaceutical intervention strategies for pandemic influenza outbreaks
title_full Design of non-pharmaceutical intervention strategies for pandemic influenza outbreaks
title_fullStr Design of non-pharmaceutical intervention strategies for pandemic influenza outbreaks
title_full_unstemmed Design of non-pharmaceutical intervention strategies for pandemic influenza outbreaks
title_short Design of non-pharmaceutical intervention strategies for pandemic influenza outbreaks
title_sort design of non-pharmaceutical intervention strategies for pandemic influenza outbreaks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532250/
https://www.ncbi.nlm.nih.gov/pubmed/25547377
http://dx.doi.org/10.1186/1471-2458-14-1328
work_keys_str_mv AT martinezdaynal designofnonpharmaceuticalinterventionstrategiesforpandemicinfluenzaoutbreaks
AT dastapask designofnonpharmaceuticalinterventionstrategiesforpandemicinfluenzaoutbreaks