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Published Erratum
. 2025 Jul 9:13:1650142.
doi: 10.3389/fpubh.2025.1650142. eCollection 2025.

Correction: Long-term trends in rubella incidence across various regions and age groups in China, 2004-2021

Yongjian Su #  1   2 , Zhengqin Su #  1 , Zixiu Huang #  3 , Shan Yang  4 , Zhongyou Li  1 , Hai Li  1
Affiliations
Published Erratum

Correction: Long-term trends in rubella incidence across various regions and age groups in China, 2004-2021

Yongjian Su et al. Front Public Health. .

Abstract

[This corrects the article DOI: 10.3389/fpubh.2025.1566999.].

Keywords: China; descriptive study; incidence; joinpoint regression model; rubella.

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Figures

Bar and line graph showing the number of cases and incidence rates from 2004 to 2021. Cases peak in 2008 with over 120,000, while incidence also peaks then. Both metrics decrease significantly after 2008, with a minor rise in 2019.
Figure 1
The annual number of cases and incidence of rubella in China from 2004 to 2021.
Line graph of crude rates per 100,000 in Mainland China from 2004 to 2021, with observed data points shown as red diamonds. A blue line represents a rising trend with an annual percent change (APC) of 46.58 from 2004 to the joinpoint in 2008. After 2008, a green line shows a declining trend with an APC of -18.41 until 2021.
Figure 4
The long-term trend of rubella incidence in China from 2004 to 2021.
Map of China showing average annual incidence rates per 100,000 people for different regions. Tibet has the highest rate at 8.63, shown in dark purple. Other high-incidence regions include Ningxia at 7.72 and Liaoning at 7.13. Lower rates are highlighted in lighter colors. Beijing is marked with a red star, showing a rate of 2.66. A color scale indicates ranges of incidence rates from light to dark purple.
Figure 5
Distribution map of rubella incidence in different regions of China from 2004 to 2021.
Map of China highlighting regional differences in AAPC percentages. Dark green regions, including Sinkiang, Jilin, Ningxia, Zhejiang, and Tianjian, show significant decreases from -18.75 to -21.81. Beijing is marked with a star. A legend indicates color-coded AAPC percentage ranges.
Figure 6
Distribution of rubella incidence with decreasing trends in five regions of China from 2004 to 2021.
Bar and line graph showing the number of cases and average annual incidence per 100,000 across different age groups. Green bars represent case numbers peaking at ages ten to fourteen. The red line indicates incidence, highest at ages ten to fourteen, then declining.
Figure 7
The number of cases and the average annual incidence of rubella in different age groups from 2004 to 2021.
Bar chart showing Average Annual Percent Change (AAPC) in various age groups, with significant values marked by asterisks.For statistically significant results, negative values appear for ages zero to nine, fifty to fifty-four, and seventy to seventy-nine. The remaining fourteen age groups trends may seem negatively or positively value, but there are considered statistically non-significant.
Figure 8
Distribution of the long-term trends of rubella incidence in different age groups from 2004 to 2021.
See this image and copyright information in PMC

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