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Impact of proactive and reactive vaccination strategies for health-care workers against MERS-CoV: a mathematical modelling study

BACKGROUND: Several vaccine candidates are in development against MERS-CoV, which remains a major public health concern. In anticipation of available MERS-CoV vaccines, we examine strategies for their optimal deployment among health-care workers. METHODS: Using data from the 2013–14 Saudi Arabia epi...

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Autores principales: Laydon, Daniel J, Cauchemez, Simon, Hinsley, Wes R, Bhatt, Samir, Ferguson, Neil M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101755/
https://www.ncbi.nlm.nih.gov/pubmed/37061313
http://dx.doi.org/10.1016/S2214-109X(23)00117-1
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author Laydon, Daniel J
Cauchemez, Simon
Hinsley, Wes R
Bhatt, Samir
Ferguson, Neil M
author_facet Laydon, Daniel J
Cauchemez, Simon
Hinsley, Wes R
Bhatt, Samir
Ferguson, Neil M
author_sort Laydon, Daniel J
collection PubMed
description BACKGROUND: Several vaccine candidates are in development against MERS-CoV, which remains a major public health concern. In anticipation of available MERS-CoV vaccines, we examine strategies for their optimal deployment among health-care workers. METHODS: Using data from the 2013–14 Saudi Arabia epidemic, we use a counterfactual analysis on inferred transmission trees (who-infected-whom analysis) to assess the potential impact of vaccination campaigns targeting health-care workers, as quantified by the proportion of cases or deaths averted. We investigate the conditions under which proactive campaigns (ie vaccinating in anticipation of the next outbreak) would outperform reactive campaigns (ie vaccinating in response to an unfolding outbreak), considering vaccine efficacy, duration of vaccine protection, effectiveness of animal reservoir control measures, wait (time between vaccination and next outbreak, for proactive campaigns), reaction time (for reactive campaigns), and spatial level (hospital, regional, or national, for reactive campaigns). We also examine the relative efficiency (cases averted per thousand doses) of different strategies. FINDINGS: The spatial scale of reactive campaigns is crucial. Proactive campaigns outperform campaigns that vaccinate health-care workers in response to outbreaks at their hospital, unless vaccine efficacy has waned significantly. However, reactive campaigns at the regional or national levels consistently outperform proactive campaigns, regardless of vaccine efficacy. When considering the number of cases averted per vaccine dose administered, the rank order is reversed: hospital-level reactive campaigns are most efficient, followed by regional-level reactive campaigns, with national-level and proactive campaigns being least efficient. If the number of cases required to trigger reactive vaccination increases, the performance of hospital-level campaigns is greatly reduced; the impact of regional-level campaigns is variable, but that of national-level campaigns is preserved unless triggers have high thresholds. INTERPRETATION: Substantial reduction of MERS-CoV morbidity and mortality is possible when vaccinating only health-care workers, underlining the need for countries at risk of outbreaks to stockpile vaccines when available. FUNDING: UK Medical Research Council, UK National Institute for Health Research, UK Research and Innovation, UK Academy of Medical Sciences, The Novo Nordisk Foundation, The Schmidt Foundation, and Investissement d'Avenir France.
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spelling pubmed-101017552023-04-14 Impact of proactive and reactive vaccination strategies for health-care workers against MERS-CoV: a mathematical modelling study Laydon, Daniel J Cauchemez, Simon Hinsley, Wes R Bhatt, Samir Ferguson, Neil M Lancet Glob Health Articles BACKGROUND: Several vaccine candidates are in development against MERS-CoV, which remains a major public health concern. In anticipation of available MERS-CoV vaccines, we examine strategies for their optimal deployment among health-care workers. METHODS: Using data from the 2013–14 Saudi Arabia epidemic, we use a counterfactual analysis on inferred transmission trees (who-infected-whom analysis) to assess the potential impact of vaccination campaigns targeting health-care workers, as quantified by the proportion of cases or deaths averted. We investigate the conditions under which proactive campaigns (ie vaccinating in anticipation of the next outbreak) would outperform reactive campaigns (ie vaccinating in response to an unfolding outbreak), considering vaccine efficacy, duration of vaccine protection, effectiveness of animal reservoir control measures, wait (time between vaccination and next outbreak, for proactive campaigns), reaction time (for reactive campaigns), and spatial level (hospital, regional, or national, for reactive campaigns). We also examine the relative efficiency (cases averted per thousand doses) of different strategies. FINDINGS: The spatial scale of reactive campaigns is crucial. Proactive campaigns outperform campaigns that vaccinate health-care workers in response to outbreaks at their hospital, unless vaccine efficacy has waned significantly. However, reactive campaigns at the regional or national levels consistently outperform proactive campaigns, regardless of vaccine efficacy. When considering the number of cases averted per vaccine dose administered, the rank order is reversed: hospital-level reactive campaigns are most efficient, followed by regional-level reactive campaigns, with national-level and proactive campaigns being least efficient. If the number of cases required to trigger reactive vaccination increases, the performance of hospital-level campaigns is greatly reduced; the impact of regional-level campaigns is variable, but that of national-level campaigns is preserved unless triggers have high thresholds. INTERPRETATION: Substantial reduction of MERS-CoV morbidity and mortality is possible when vaccinating only health-care workers, underlining the need for countries at risk of outbreaks to stockpile vaccines when available. FUNDING: UK Medical Research Council, UK National Institute for Health Research, UK Research and Innovation, UK Academy of Medical Sciences, The Novo Nordisk Foundation, The Schmidt Foundation, and Investissement d'Avenir France. The Author(s). Published by Elsevier Ltd. 2023-05 2023-04-14 /pmc/articles/PMC10101755/ /pubmed/37061313 http://dx.doi.org/10.1016/S2214-109X(23)00117-1 Text en © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Articles
Laydon, Daniel J
Cauchemez, Simon
Hinsley, Wes R
Bhatt, Samir
Ferguson, Neil M
Impact of proactive and reactive vaccination strategies for health-care workers against MERS-CoV: a mathematical modelling study
title Impact of proactive and reactive vaccination strategies for health-care workers against MERS-CoV: a mathematical modelling study
title_full Impact of proactive and reactive vaccination strategies for health-care workers against MERS-CoV: a mathematical modelling study
title_fullStr Impact of proactive and reactive vaccination strategies for health-care workers against MERS-CoV: a mathematical modelling study
title_full_unstemmed Impact of proactive and reactive vaccination strategies for health-care workers against MERS-CoV: a mathematical modelling study
title_short Impact of proactive and reactive vaccination strategies for health-care workers against MERS-CoV: a mathematical modelling study
title_sort impact of proactive and reactive vaccination strategies for health-care workers against mers-cov: a mathematical modelling study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101755/
https://www.ncbi.nlm.nih.gov/pubmed/37061313
http://dx.doi.org/10.1016/S2214-109X(23)00117-1
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