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

Su, Yongjian; Su, Zhengqin; Huang, Zixiu; Yang, Shan; Li, Zhongyou; Li, Hai

doi:10.3389/fpubh.2025.1650142

CORRECTION article

Front. Public Health, 09 July 2025

Sec. Infectious Diseases: Epidemiology and Prevention

Volume 13 - 2025 | https://doi.org/10.3389/fpubh.2025.1650142

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

1. School of Public Health and Management, Guangxi University of Chinese Medicine, Nanning, China
2. Ruikang Hospital Affiliated with Guangxi University of Chinese Medicine, Nanning, China
3. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China
4. School of Innovation and Entrepreneurship, Guangxi University of Traditional Chinese Medicine, Nanning, China

This article is a correction to:

The long-term trends in rubella incidence across various regions and age groups in China from 2004 to 2021 #
1. Read original article

A Correction on Long-term trends in rubella incidence across various regions and age groups in China, 2004–2021 by Su, Y., Su, Z., Huang, Z., Yang, S., Li, Z., and Li, H. (2025). Front. Public Health. 13:1566999. doi: 10.3389/fpubh.2025.1566999

The reference for [15] was erroneously written as “Zhu Z, Wang HL, Zhang Y. Analysis of serum IgM antibody and viral nucleic acid detection results in measles and rubella cases in China from 2014 to 2023. Chinese J Prev Med. (2024) 8:1318–23. doi: 10.3760/cma.j.cn112150-20240306-00191”. It should be “Zhu Z, Wang HL, Zhang Y. Analysis of serum IgM antibody and viral nucleic acid detection results in measles and rubella cases in China from 2014 to 2023. Chin J Prev Med. (2024) 8:1318–23. doi: 10.3760/cma.j.cn112150-20240306-00191”.

There was a mistake in Figures 1, 4, 5, 6, 7 and 8 as published. To ensure academic rigor, we have rechecked the data and performed additional analyses using the latest procedures, providing more accurate data and higher-resolution figures. The corrected Figures 1, 4, 5, 6, 7 and 8 appear below.

Figure 1

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

There was a mistake in Tables 1 and 2 as published. To ensure academic rigor, we have rechecked the data and performed additional analyses using the latest procedures, providing more accurate data. The corrected Tables 1 and 2 appear below.

Table 1

Regions	Trends	AAPC (%)	AAPC 95%CI(%)		Z	P-value
			LowerCI	UpperCI
Beijing	Stable	−10.20	−20.69	1.67	−1.70	0.090
Tianjin	Decrease	−19.39	−32.02	−4.41	−2.48	0.013
Hebei	Stable	5.19	−31.55	61.64	0.23	0.817
Shanxi	Stable	−5.87	−22.58	14.46	−0.61	0.544
Inner Mongolia	Stable	−5.77	−29.58	26.08	−0.40	0.689
Liaoning	Stable	1.62	−29.88	47.27	0.08	0.932
Jilin	Decrease	−21.81	−33.00	−8.75	−3.12	0.002
Heilongjiang	Stable	12.88	−40.31	113.47	0.37	0.709
Shanghai	Stable	1.11	−16.21	21.99	0.11	0.909
Jiangsu	Stable	2.08	−13.19	20.05	0.25	0.803
Zhejiang	Decrease	−18.86	−28.35	−8.11	−3.29	0.001
Anhui	Stable	−2.16	−14.38	11.80	−0.32	0.748
Fujian	Stable	−6.97	−14.21	0.89	−1.89	0.077
Jiangxi	Stable	−4.06	−15.50	8.93	−0.64	0.523
Shandong	Stable	−4.16	−26.59	25.10	−0.31	0.754
Henan	Stable	−9.14	−23.00	7.22	−1.13	0.256
Hubei	Stable	14.87	−10.22	46.98	1.10	0.270
Hunan	Stable	−14.6	−67.82	126.67	−0.32	0.751
Guangdong	Stable	−13.12	−39.45	24.66	−0.76	0.445
Guangxi	Stable	2.13	−35.36	61.36	0.09	0.928
Hainan	Stable	15.36	−26.64	81.39	0.62	0.536
Chungking	Stable	−0.61	−9.67	9.36	−0.14	0.893
Sichuan	Stable	−6.88	−14.25	1.12	−1.83	0.085
Guizhou	Stable	−7.78	−16.20	1.49	−1.79	0.092
Yunnan	Stable	−4.53	−19.62	13.40	−0.53	0.598
Tibet	Stable	−10.75	−45.03	44.89	−0.46	0.645
Shaanxi	Stable	−6.16	−16.87	5.94	−1.03	0.304
Gansu	Stable	−22.79	−76.32	151.76	−0.43	0.668
Qinghai	Stable	4.47	−24.96	45.46	0.26	0.796
Ningxia	Decrease	−18.75	−29.62	−6.21	−2.84	0.005
Sinkiang	Decrease	−19.69	−28.03	−10.38	−3.92	< 0.001
Mainland China	Stable	−6.36	−17.09	5.77	−1.06	0.291

The long-term trends of rubella incidence in the whole country and 31 regions from 2004 to 2021.

Table 2

Age groups	Trends	AAPC (%)	AAPC 95%CI(%)		Z	*P-Value*
			LowerCI	UpperCI
0–	Decrease	−14.35	−22.67	−5.12	−2.97	0.003
1–	Decrease	−18.46	−25.86	−10.32	−4.2	< 0.001
2–	Decrease	−20.98	−27.73	−13.59	−5.17	< 0.001
3–	Decrease	−22.78	−29.64	−15.24	−5.44	< 0.001
4–	Decrease	−25.2	−32.77	−16.78	−5.33	< 0.001
5–	Decrease	−28.32	−37.95	−17.19	−4.52	< 0.001
6–	Decrease	−29.96	−39.8	−18.5	−4.61	< 0.001
7–	Decrease	−18.67	−28.82	−7.07	−3.04	0.002
8–	Decrease	−22.25	−30.02	−13.62	−4.68	< 0.001
9–	Decrease	−16.96	−24.25	−8.97	−3.96	< 0.001
10–	Stable	10.12	−35.01	86.59	0.36	0.72
15–	Stable	−16.5	−62.94	88.15	−0.44	0.664
20–	Stable	22.55	−23.83	97.16	0.84	0.402
25–	Stable	5.76	−16.08	33.29	0.47	0.635
30–	Stable	4.34	−10.12	21.13	0.56	0.577
35–	Stable	5.05	−9.89	22.48	0.63	0.529
40–	Stable	−0.07	−6.67	7	−0.02	0.982
45–	Stable	−1.04	−14.3	14.27	−0.14	0.887
50–	Decrease	−8.27	−14.59	−1.47	−2.37	0.018
55–	Stable	−6.7	−16.6	4.39	−1.21	0.226
60–	Stable	−7.8	−15.77	0.93	−1.76	0.078
65–	Stable	−6.4	−22.04	12.38	−0.71	0.478
70–	Decrease	−12.39	−19.5	−4.64	−3.06	0.002
75–	Decrease	−13.13	−19.56	−6.19	−3.59	< 0.001
80–	Stable	−9.24	−19.34	2.13	−1.61	0.107
85–	Stable	−7.12	−30.27	23.73	−0.5	0.614

The long-term trends of rubella incidence in 26 age groups from 2004 to 2021.

A correction has been made to Section 2.2 Research methods, 2.2.1 Basic statistical description, paragraph 1. The text “(incidence = number of cases/number of exposed population ^*100,000%)” has been changed to “(incidence = number of cases/number of exposed population ^*100,000).”

The original version of this article has been updated.

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Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

rubella, incidence, descriptive study, joinpoint regression model, China

Citation

Su Y, Su Z, Huang Z, Yang S, Li Z and Li H (2025) Correction: Long-term trends in rubella incidence across various regions and age groups in China, 2004–2021. Front. Public Health 13:1650142. doi: 10.3389/fpubh.2025.1650142

Received

19 June 2025

Accepted

23 June 2025

Published

09 July 2025

Volume

13 - 2025

Edited and reviewed by

Marc Jean Struelens, Université libre de Bruxelles, Belgium

Updates

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Shan Yang 1402650@qq.comZhongyou Li 582893156@qq.comHai Li lihai6609@hotmail.com

†These authors share first authorship

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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CORRECTION article

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