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Identifying geographic areas at risk of rubella epidemics in Japan using seroepidemiological data

OBJECTIVE: Even with relatively high vaccination coverage, Japan experienced rubella epidemics in 2012–2014 and 2018–2019, which were fueled by untraced imported cases. We aimed to develop a risk map for rubella epidemics in Japan by geographic location via analysis of seroepidemiological data and a...

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Autores principales: Kayano, Taishi, Lee, Hyojung, Kinoshita, Ryo, Nishiura, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526531/
https://www.ncbi.nlm.nih.gov/pubmed/33010463
http://dx.doi.org/10.1016/j.ijid.2020.09.1458
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author Kayano, Taishi
Lee, Hyojung
Kinoshita, Ryo
Nishiura, Hiroshi
author_facet Kayano, Taishi
Lee, Hyojung
Kinoshita, Ryo
Nishiura, Hiroshi
author_sort Kayano, Taishi
collection PubMed
description OBJECTIVE: Even with relatively high vaccination coverage, Japan experienced rubella epidemics in 2012–2014 and 2018–2019, which were fueled by untraced imported cases. We aimed to develop a risk map for rubella epidemics in Japan by geographic location via analysis of seroepidemiological data and accounting for the abundance of foreign visitors. METHODS: Geographic age distribution and seroprevalence were used to compute the age- and sex-dependent next-generation matrix in each region. We computed the probability of a major epidemic using the assumed number of untraced imported rubella cases proportionally modeled to the number of foreign travelers. RESULTS: Risks of a major epidemic were high in areas with capital cities, while areas with a greater fraction of older people yielded smaller effective reproduction numbers, a lower volume of foreign travelers, and thus a lower probability of a major epidemic. The volume of susceptible adult males was larger in urban geographic regions, having a greater number of foreign travelers than remote areas. CONCLUSIONS: Our findings are consistent with the observation of multiple large clusters of rubella cases in urban areas during 2012–2014 and 2018–2019. Should a future rubella epidemic occur, it will likely be in geographic areas with capital cities.
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spelling pubmed-75265312020-10-01 Identifying geographic areas at risk of rubella epidemics in Japan using seroepidemiological data Kayano, Taishi Lee, Hyojung Kinoshita, Ryo Nishiura, Hiroshi Int J Infect Dis Article OBJECTIVE: Even with relatively high vaccination coverage, Japan experienced rubella epidemics in 2012–2014 and 2018–2019, which were fueled by untraced imported cases. We aimed to develop a risk map for rubella epidemics in Japan by geographic location via analysis of seroepidemiological data and accounting for the abundance of foreign visitors. METHODS: Geographic age distribution and seroprevalence were used to compute the age- and sex-dependent next-generation matrix in each region. We computed the probability of a major epidemic using the assumed number of untraced imported rubella cases proportionally modeled to the number of foreign travelers. RESULTS: Risks of a major epidemic were high in areas with capital cities, while areas with a greater fraction of older people yielded smaller effective reproduction numbers, a lower volume of foreign travelers, and thus a lower probability of a major epidemic. The volume of susceptible adult males was larger in urban geographic regions, having a greater number of foreign travelers than remote areas. CONCLUSIONS: Our findings are consistent with the observation of multiple large clusters of rubella cases in urban areas during 2012–2014 and 2018–2019. Should a future rubella epidemic occur, it will likely be in geographic areas with capital cities. The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2021-01 2020-09-30 /pmc/articles/PMC7526531/ /pubmed/33010463 http://dx.doi.org/10.1016/j.ijid.2020.09.1458 Text en © 2020 The Author(s) 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 Article
Kayano, Taishi
Lee, Hyojung
Kinoshita, Ryo
Nishiura, Hiroshi
Identifying geographic areas at risk of rubella epidemics in Japan using seroepidemiological data
title Identifying geographic areas at risk of rubella epidemics in Japan using seroepidemiological data
title_full Identifying geographic areas at risk of rubella epidemics in Japan using seroepidemiological data
title_fullStr Identifying geographic areas at risk of rubella epidemics in Japan using seroepidemiological data
title_full_unstemmed Identifying geographic areas at risk of rubella epidemics in Japan using seroepidemiological data
title_short Identifying geographic areas at risk of rubella epidemics in Japan using seroepidemiological data
title_sort identifying geographic areas at risk of rubella epidemics in japan using seroepidemiological data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526531/
https://www.ncbi.nlm.nih.gov/pubmed/33010463
http://dx.doi.org/10.1016/j.ijid.2020.09.1458
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