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...
Autores principales: | , |
---|---|
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 |