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Volume 26, Number 6—June 2020
Research

Temporary Fertility Decline after Large Rubella Outbreak, Japan

Kenji MizumotoComments to Author  and Gerardo Chowell
Author affiliations: Kyoto University, Kyoto, Japan, and Hokkaido University, Hokkaido, Japan (K. Mizumoto); Georgia State University, Atlanta, GA, USA (K. Mizumoto, G. Chowell); Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA (G. Chowell)

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Figure 3

Cross-correlation between rubella cases, Google searches for “rubella,” and elevated fertility rates, Tokyo, Japan, 2012–2016. Cross-correlation coefficients in were calculated in each lag, –12 months, lead period, +12 months, and at 0. Bars indicate cross-correlation coefficients between A) fertility rate and rubella case time-series; B) fertility rate and Google searches for “rubella” time-series; and C) rubella cases and Google searches for “rubella” time series. Horizontal dashed lines are t

Figure 3. Cross-correlation between rubella cases, Google searches for “rubella,” and elevated fertility rates, Tokyo, Japan, 2012–2016. Cross-correlation coefficients were calculated in each lag, –12 months, lead period, +12 months, and at 0. Bars indicate cross-correlation coefficients between A) fertility rate and rubella case time-series; B) fertility rate and Google searches for “rubella” time-series; and C) rubella cases and Google searches for “rubella” time series. Horizontal dashed lines are the confidence limits (upper limit, 0.28; lower limit, –0.28) for the null hypothesis of 0 true cross-correlation coefficients between the 2 time-series. Google search data collected from Google Trends (https://trends.google.com).

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Page created: May 18, 2020
Page updated: May 18, 2020
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