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Analysis of pertussis epidemic characteristics and incidence prediction in Jiangsu Province (2011—2023)
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Yan XU, Qiang CHEN, Si QIN, Yun WU, Mei LI, Xiang SUN, Hong-xiong GUO, Zhi-guo WANG
Modern Preventive Medicine | 2025, 52(11) : 1947 - 1951
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Modern Preventive Medicine | 2025, 52(11): 1947-1951
Epidemiology and Statistical Methods
Analysis of pertussis epidemic characteristics and incidence prediction in Jiangsu Province (2011—2023)
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Yan XU, Qiang CHEN, Si QIN, Yun WU, Mei LI, Xiang SUN, Hong-xiong GUO, Zhi-guo WANG
Affiliations
  • Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China
Published: 2025-06-10 doi: 10.20043/j.cnki.MPM.202501310
Outline
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Objective

To describe the epidemic characteristics of pertussis in Jiangsu Province from 2011 to 2023 and to explore the feasibility of using the Autoregressive Integrated Moving Average (ARIMA) model for predicting pertussis incidence in the province.

Methods

Epidemiological characteristics of pertussis cases collected for this study were analyzed. Data from January 2011 to June 2023 were used as the training set to construct the ARIMA model, which was then utilized to predict the incidence trend of pertussis from July 2023 to December 2024, thereby evaluating the model’s predictive performance.

Results

A total of 1 970 pertussis cases were reported in Jiangsu Province from 2011 to 2023, with an annual incidence rate of 0.19 per 100 000. The number of reported male cases exceeded that of female cases, yielding a sex ratio of 1.08:1. Most cases occurred in infants under one year of age (52.2%, 1 049/1 970), with 83.5% of these infants being under six months old (876/1 049). Pertussis exhibited a seasonal peak during spring and summer, with the highest incidence observed in April. The ARIMA (1,1,3) (0,1,2)12 model was identified as the optimal predictive model for this study, showing a close alignment between the model-fitted incidence trend from 2011 to 2023 and the actual incidence trend. Additionally, the actual monthly incidence from July to December 2023 fell within the 95% confidence interval of the predicted values.

Conclusion

This model effectively fits the incidence of pertussis in Jiangsu Province and holds practical value for short-term prediction and analysis of pertussis in the region.

Epidemiological characteristics  /  Pertussis  /  Prediction  /  Autoregressive integrated moving average model
Yan XU, Qiang CHEN, Si QIN, Yun WU, Mei LI, Xiang SUN, Hong-xiong GUO, Zhi-guo WANG. Analysis of pertussis epidemic characteristics and incidence prediction in Jiangsu Province (2011—2023)[J]. Modern Preventive Medicine, 2025 , 52 (11) : 1947 -1951 . DOI: 10.20043/j.cnki.MPM.202501310
Year 2025 volume 52 Issue 11
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Article Info
doi: 10.20043/j.cnki.MPM.202501310
  • Receive Date:2025-01-20
  • Online Date:2026-03-18
  • Published:2025-06-10
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  • Received:2025-01-20
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    Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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