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Identifying UK travellers at increased risk of developing pneumococcal infection: a novel algorithm
BACKGROUND: In 2016, the travel subcommittee of the UK Joint Committee on Vaccination and Immunisation (JCVI) recommended that 13-valent PCV (PCV13) could be offered to travellers aged over 65 years, visiting countries without infant PCV immunization programmes. This study aimed to identify, collate...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393689/ https://www.ncbi.nlm.nih.gov/pubmed/33978186 http://dx.doi.org/10.1093/jtm/taab063 |
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author | Ellsbury, Gillian Campling, James Madhava, Harish Slack, Mary |
author_facet | Ellsbury, Gillian Campling, James Madhava, Harish Slack, Mary |
author_sort | Ellsbury, Gillian |
collection | PubMed |
description | BACKGROUND: In 2016, the travel subcommittee of the UK Joint Committee on Vaccination and Immunisation (JCVI) recommended that 13-valent PCV (PCV13) could be offered to travellers aged over 65 years, visiting countries without infant PCV immunization programmes. This study aimed to identify, collate and review the available evidence to identify specific countries where UK travellers might be at an increased risk of developing pneumococcal infection. The data were then used to develop an algorithm, which could be used to facilitate implementation of the JCVI recommendation. METHODS: We conducted a systematic search of the published data available for pneumococcal disease, PCV vaccine implementation, coverage data and programme duration by country. The primary data sources used were World Health Organization databases and the International Vaccine Access Centre Vaccine Information and Epidemiology Window-hub database. Based on the algorithm, the countries were classified into ‘high overall risk’, ‘intermediate overall risk’ and ‘low overall risk’ from an adult traveller perspective. This could determine whether PCV13 should be recommended for UK adult travellers. RESULTS: A data search for a total of 228 countries was performed, with risk scores calculated for 188 countries. Overall, 45 countries were classified as ‘high overall risk’, 86 countries as ‘intermediate overall risk’, 57 countries as ‘low overall risk’ and 40 countries as ‘unknown’. CONCLUSION: To our knowledge this is the first attempt to categorize the risk to UK adult travellers of contracting pneumococcal infection in each country, globally. These findings could be used by national travel advisory bodies and providers of travel vaccines to identify travellers at increased risk of pneumococcal infection, who could be offered PCV immunization. |
format | Online Article Text |
id | pubmed-8393689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-83936892021-08-27 Identifying UK travellers at increased risk of developing pneumococcal infection: a novel algorithm Ellsbury, Gillian Campling, James Madhava, Harish Slack, Mary J Travel Med Original Article BACKGROUND: In 2016, the travel subcommittee of the UK Joint Committee on Vaccination and Immunisation (JCVI) recommended that 13-valent PCV (PCV13) could be offered to travellers aged over 65 years, visiting countries without infant PCV immunization programmes. This study aimed to identify, collate and review the available evidence to identify specific countries where UK travellers might be at an increased risk of developing pneumococcal infection. The data were then used to develop an algorithm, which could be used to facilitate implementation of the JCVI recommendation. METHODS: We conducted a systematic search of the published data available for pneumococcal disease, PCV vaccine implementation, coverage data and programme duration by country. The primary data sources used were World Health Organization databases and the International Vaccine Access Centre Vaccine Information and Epidemiology Window-hub database. Based on the algorithm, the countries were classified into ‘high overall risk’, ‘intermediate overall risk’ and ‘low overall risk’ from an adult traveller perspective. This could determine whether PCV13 should be recommended for UK adult travellers. RESULTS: A data search for a total of 228 countries was performed, with risk scores calculated for 188 countries. Overall, 45 countries were classified as ‘high overall risk’, 86 countries as ‘intermediate overall risk’, 57 countries as ‘low overall risk’ and 40 countries as ‘unknown’. CONCLUSION: To our knowledge this is the first attempt to categorize the risk to UK adult travellers of contracting pneumococcal infection in each country, globally. These findings could be used by national travel advisory bodies and providers of travel vaccines to identify travellers at increased risk of pneumococcal infection, who could be offered PCV immunization. Oxford University Press 2021-05-12 /pmc/articles/PMC8393689/ /pubmed/33978186 http://dx.doi.org/10.1093/jtm/taab063 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of International Society of Travel Medicine. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Ellsbury, Gillian Campling, James Madhava, Harish Slack, Mary Identifying UK travellers at increased risk of developing pneumococcal infection: a novel algorithm |
title | Identifying UK travellers at increased risk of developing pneumococcal infection: a novel algorithm |
title_full | Identifying UK travellers at increased risk of developing pneumococcal infection: a novel algorithm |
title_fullStr | Identifying UK travellers at increased risk of developing pneumococcal infection: a novel algorithm |
title_full_unstemmed | Identifying UK travellers at increased risk of developing pneumococcal infection: a novel algorithm |
title_short | Identifying UK travellers at increased risk of developing pneumococcal infection: a novel algorithm |
title_sort | identifying uk travellers at increased risk of developing pneumococcal infection: a novel algorithm |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393689/ https://www.ncbi.nlm.nih.gov/pubmed/33978186 http://dx.doi.org/10.1093/jtm/taab063 |
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