Estimation of the excess cases of hand-foot-mouth disease in Beijing with adjusted Serfling regression model

Estimation of the excess cases of hand-foot-mouth disease in Beijing with adjusted Serfling regression model

ObjectiveTo establish an adjusted Serfling regression model to estimate the excess cases and the excess epidemic period of hand-foot-mouth disease (HFMD) in Beijing from 2011 to 2019, so as to provide data support and decision-making basis for HFMD prevention and control.MethodsThe weekly number of...

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Main Authors: DONG Shuaibing, WANG Ruitong, HUO Da, LIU Baiwei, ZHAO Hao, GAO Zhiyong, WANG Xiaoli, YANG Peng, WANG Quanyi, ZHANG Daitao
Format: Article
Language:zho
Published: Shanghai Preventive Medicine Association 2025-03-01
Series:Shanghai yufang yixue
Subjects:
hand-foot-mouth disease
adjusted serfling regression model
excess case
excess epidemic period
disease burden
Online Access:http://www.sjpm.org.cn/article/doi/10.19428/j.cnki.sjpm.2025.24571
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Summary:ObjectiveTo establish an adjusted Serfling regression model to estimate the excess cases and the excess epidemic period of hand-foot-mouth disease (HFMD) in Beijing from 2011 to 2019, so as to provide data support and decision-making basis for HFMD prevention and control.MethodsThe weekly number of HFMD cases in Beijing from 2011 to 2019 was utilized for adjusted the Serfling regression model. Then the adjusted model was used to fit the baseline and epidemic threshold of HFMD in Beijing from 2011 to 2019, calculating the excess cases and determining the excess epidemic period.ResultsA total of 279 306 cases of HFMD were reported in Beijing from 2011 to 2019, with the climax of the disease occurring in summer and autumn. After adjusting the fitting R2 of the Serfling regression model to 0.773, a total of 10 excess epidemic periods totaling 92 weeks were estimated, mainly occurring in summer. The highest number of excess cases during an excess epidemic period was found in 2014 (1 272 cases, 95%CI: 990‒1 554), accounting for 65.04% of the actual cases (95%CI: 50.62%‒79.46%).ConclusionThe adjusted Serfling regression model fits well and can be utilized for early warning of HFMD and estimating the disease burden caused by HFMD.
ISSN:1004-9231

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