Identifying UK travellers at increased risk of developing pneumococcal infection: a novel algorithm

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Ellsbury, Gillian
Campling, James
Madhava, Harish
Slack, Mary
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2021
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Abstract

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.

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Journal of Travel Medicine

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© 2021 Oxford University Press. This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Journal of Travel Medicine following peer review. The definitive publisher-authenticated version Identifying UK travellers at increased risk of developing pneumococcal infection: a novel algorithm, Journal of Travel Medicine, 2021 is available online at: https://doi.org/10.1093/jtm/taab063.

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Clinical sciences

Public health

Tourism

Epidemiology

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Ellsbury, G; Campling, J; Madhava, H; Slack, M, Identifying UK travellers at increased risk of developing pneumococcal infection: a novel algorithm, Journal of Travel Medicine

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