Assessing the transmission dynamics of measles in Japan, 2016

Objectives: Despite the verification of measles elimination, Japan experienced multiple generations of measles transmission following importation events in 2016. The purpose of the present study was to analyze the transmission dynamics of measles in Japan, 2016, estimating the transmission potential...

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Main Authors: Hiroshi Nishiura, Kenji Mizumoto, Yusuke Asai
Format: Article
Language:English
Published: Elsevier 2017-09-01
Series:Epidemics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436517300683
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spelling doaj-164f4e9ca89c47088778c2468379c56f2020-11-24T20:44:35ZengElsevierEpidemics1755-43651878-00672017-09-0120C677210.1016/j.epidem.2017.03.005Assessing the transmission dynamics of measles in Japan, 2016Hiroshi Nishiura0Kenji Mizumoto1Yusuke Asai2Graduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kita-ku, Sapporo-shi, Hokkaido 060-8638, JapanGraduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kita-ku, Sapporo-shi, Hokkaido 060-8638, JapanGraduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kita-ku, Sapporo-shi, Hokkaido 060-8638, JapanObjectives: Despite the verification of measles elimination, Japan experienced multiple generations of measles transmission following importation events in 2016. The purpose of the present study was to analyze the transmission dynamics of measles in Japan, 2016, estimating the transmission potential in the partially vaccinated population. Methods: All diagnosed measles cases were notified to the government, and the present study analyzed two pieces of datasets independently, i.e., the transmission tree of the largest outbreak in Osaka (n = 49) and the final size distribution of all importation events (n = 23 events). Branching process model was employed to estimate the effective reproduction number Rv, and the analysis of transmission tree in Osaka enabled us to account for the timing of introducing contact tracing and case isolation. Results: Employing a negative binomial distribution for the offspring distribution, the model with time-dependent decline in Rv due to interventions appeared to best fit to the transmission tree data with Rv of 9.20 (95% CI (confidence interval): 2.08, 150.68) and the dispersion parameter 0.32 (95% CI: 0.07, 1.17) before interventions were introduced. The relative transmissibility in the presence of interventions from week 34 was estimated at 0.005. Analyzing the final size distribution, models for subcritical and supercritical processes fitted equally well to the observed data, and the estimated reproduction number from both models did not exclude the possibility that Rv > 1. Conclusions: Our results likely reflect the highly contagious nature of measles, indicating that Japan is at risk of observing multiple generations of measles transmission given imported cases. Considering that importation events may continue in the future, supplementary vaccination of adults needs to be considered.http://www.sciencedirect.com/science/article/pii/S1755436517300683EpidemicTransmissibilityParamyxoviridaeMathematical modelStatistical estimationJapan
collection DOAJ
language English
format Article
sources DOAJ
author Hiroshi Nishiura
Kenji Mizumoto
Yusuke Asai
spellingShingle Hiroshi Nishiura
Kenji Mizumoto
Yusuke Asai
Assessing the transmission dynamics of measles in Japan, 2016
Epidemics
Epidemic
Transmissibility
Paramyxoviridae
Mathematical model
Statistical estimation
Japan
author_facet Hiroshi Nishiura
Kenji Mizumoto
Yusuke Asai
author_sort Hiroshi Nishiura
title Assessing the transmission dynamics of measles in Japan, 2016
title_short Assessing the transmission dynamics of measles in Japan, 2016
title_full Assessing the transmission dynamics of measles in Japan, 2016
title_fullStr Assessing the transmission dynamics of measles in Japan, 2016
title_full_unstemmed Assessing the transmission dynamics of measles in Japan, 2016
title_sort assessing the transmission dynamics of measles in japan, 2016
publisher Elsevier
series Epidemics
issn 1755-4365
1878-0067
publishDate 2017-09-01
description Objectives: Despite the verification of measles elimination, Japan experienced multiple generations of measles transmission following importation events in 2016. The purpose of the present study was to analyze the transmission dynamics of measles in Japan, 2016, estimating the transmission potential in the partially vaccinated population. Methods: All diagnosed measles cases were notified to the government, and the present study analyzed two pieces of datasets independently, i.e., the transmission tree of the largest outbreak in Osaka (n = 49) and the final size distribution of all importation events (n = 23 events). Branching process model was employed to estimate the effective reproduction number Rv, and the analysis of transmission tree in Osaka enabled us to account for the timing of introducing contact tracing and case isolation. Results: Employing a negative binomial distribution for the offspring distribution, the model with time-dependent decline in Rv due to interventions appeared to best fit to the transmission tree data with Rv of 9.20 (95% CI (confidence interval): 2.08, 150.68) and the dispersion parameter 0.32 (95% CI: 0.07, 1.17) before interventions were introduced. The relative transmissibility in the presence of interventions from week 34 was estimated at 0.005. Analyzing the final size distribution, models for subcritical and supercritical processes fitted equally well to the observed data, and the estimated reproduction number from both models did not exclude the possibility that Rv > 1. Conclusions: Our results likely reflect the highly contagious nature of measles, indicating that Japan is at risk of observing multiple generations of measles transmission given imported cases. Considering that importation events may continue in the future, supplementary vaccination of adults needs to be considered.
topic Epidemic
Transmissibility
Paramyxoviridae
Mathematical model
Statistical estimation
Japan
url http://www.sciencedirect.com/science/article/pii/S1755436517300683
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