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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2021
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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. |
format | Online Article Text |
id | pubmed-7526531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
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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