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Predicting congenital rubella syndrome in Japan, 2018-2019

Hyojung Lee1, Taishi Kayano1, Hiroshi Nishiura1

  • 1Graduate School of Medicine, Hokkaido University, Kita 15-Jo Nishi 7-Chome, Kita-ku, Sapporo-shi, Hokkaido 060-8638, Japan; CREST, Japan Science and Technology Agency, Honcho 4-1-8, Kawaguchi, Saitama, 332-0012 Japan.

International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases
|February 27, 2019
PubMed
Abstract

Keywords:
EpidemiologyForecastingJapanOutbreakPredictionRubella virusStatistical model

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