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Modelling the risk of transfusion transmission from travelling donors
BACKGROUND: The EUFRAT (European Up-Front Risk Assessment Tool) was developed as an online risk assessment tool (http://eufrattool.ecdc.europa.eu) to help decision-makers assess the transmission risk of emerging infectious diseases (EID) through blood transfusion. The aim of this study is to extend...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818889/ https://www.ncbi.nlm.nih.gov/pubmed/27038919 http://dx.doi.org/10.1186/s12879-016-1452-z |
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author | Mapako, Tonderai Oei, Welling van Hulst, Marinus Kretzschmar, Mirjam E. Janssen, Mart P. |
author_facet | Mapako, Tonderai Oei, Welling van Hulst, Marinus Kretzschmar, Mirjam E. Janssen, Mart P. |
author_sort | Mapako, Tonderai |
collection | PubMed |
description | BACKGROUND: The EUFRAT (European Up-Front Risk Assessment Tool) was developed as an online risk assessment tool (http://eufrattool.ecdc.europa.eu) to help decision-makers assess the transmission risk of emerging infectious diseases (EID) through blood transfusion. The aim of this study is to extend the methodology developed in the EUFRAT project to quantify the transfusion transmission (TT) risk from travelling donors. METHODS: A generic model for estimating the TT risk from a group of travelling donors that visited an EID risk area was developed. In addition, the new model distinguishes projected future transmissions from those that have already occurred. As an illustration the model was applied to the outbreaks of chikungunya in Italy in 2007 and Q fever in the Netherlands in 2007–2009. RESULTS: Formulas for calculating the travelling donors’ TT risk were derived. For the chikungunya outbreak in Italy an early intervention (at the end of week 7 after the start of the outbreak, so after only 19 % of all cases) would have been required to prevent only 41 % of all expected transmissions at that time. For Q fever, in which the transmission of chronic Q fever is considered, even at the end of the third annual outbreak’s peak 47 % of all (chronic) Q fever transmissions could still be prevented. CONCLUSIONS: The updated model allows estimation of the infection transmission risk from travelling donors. In combination with the distinction between past and future transmissions, these estimates provide valuable information to support decisions concerning communication with the public and/or the implementation of safety interventions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-016-1452-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4818889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48188892016-04-04 Modelling the risk of transfusion transmission from travelling donors Mapako, Tonderai Oei, Welling van Hulst, Marinus Kretzschmar, Mirjam E. Janssen, Mart P. BMC Infect Dis Research Article BACKGROUND: The EUFRAT (European Up-Front Risk Assessment Tool) was developed as an online risk assessment tool (http://eufrattool.ecdc.europa.eu) to help decision-makers assess the transmission risk of emerging infectious diseases (EID) through blood transfusion. The aim of this study is to extend the methodology developed in the EUFRAT project to quantify the transfusion transmission (TT) risk from travelling donors. METHODS: A generic model for estimating the TT risk from a group of travelling donors that visited an EID risk area was developed. In addition, the new model distinguishes projected future transmissions from those that have already occurred. As an illustration the model was applied to the outbreaks of chikungunya in Italy in 2007 and Q fever in the Netherlands in 2007–2009. RESULTS: Formulas for calculating the travelling donors’ TT risk were derived. For the chikungunya outbreak in Italy an early intervention (at the end of week 7 after the start of the outbreak, so after only 19 % of all cases) would have been required to prevent only 41 % of all expected transmissions at that time. For Q fever, in which the transmission of chronic Q fever is considered, even at the end of the third annual outbreak’s peak 47 % of all (chronic) Q fever transmissions could still be prevented. CONCLUSIONS: The updated model allows estimation of the infection transmission risk from travelling donors. In combination with the distinction between past and future transmissions, these estimates provide valuable information to support decisions concerning communication with the public and/or the implementation of safety interventions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-016-1452-z) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-01 /pmc/articles/PMC4818889/ /pubmed/27038919 http://dx.doi.org/10.1186/s12879-016-1452-z Text en © Mapako et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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 Mapako, Tonderai Oei, Welling van Hulst, Marinus Kretzschmar, Mirjam E. Janssen, Mart P. Modelling the risk of transfusion transmission from travelling donors |
title | Modelling the risk of transfusion transmission from travelling donors |
title_full | Modelling the risk of transfusion transmission from travelling donors |
title_fullStr | Modelling the risk of transfusion transmission from travelling donors |
title_full_unstemmed | Modelling the risk of transfusion transmission from travelling donors |
title_short | Modelling the risk of transfusion transmission from travelling donors |
title_sort | modelling the risk of transfusion transmission from travelling donors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818889/ https://www.ncbi.nlm.nih.gov/pubmed/27038919 http://dx.doi.org/10.1186/s12879-016-1452-z |
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