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Changes and predictions of mumps incidence in China: a time series model with intervention approach

Published online by Cambridge University Press:  24 March 2026

Xuhan Tong
Affiliation:
The Affiliated Hospital of Hangzhou Normal University , Hangzhou, Zhejiang, China
Qingwen Yu
Affiliation:
The Affiliated Hospital of Hangzhou Normal University , Hangzhou, Zhejiang, China
Mingwei Wang*
Affiliation:
The Affiliated Hospital of Hangzhou Normal University , Hangzhou, Zhejiang, China
*
Corresponding author: Mingwei Wang; Email: wmw990556@163.com
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Abstract

Information

Type
Letter to the Editor
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press or the rights holder(s) must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. Observed mumps notifications versus SARIMA-intervention predictions and pre-pandemic counterfactual forecasts (train: 2010/2001–2019/2011 for counterfactual; forecast: from 2019/2012 to 2024/2012; observed: to 2023/2007).

Figure 1

Figure 2. Per cent deviation of observed notifications from counterfactual forecasts, 2020–2022: (counterfactual − observed) / counterfactual × 100%.