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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2017-09-01
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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 |
work_keys_str_mv |
AT hiroshinishiura assessingthetransmissiondynamicsofmeaslesinjapan2016 AT kenjimizumoto assessingthetransmissiondynamicsofmeaslesinjapan2016 AT yusukeasai assessingthetransmissiondynamicsofmeaslesinjapan2016 |
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1716816986636288000 |