Simulation and prediction of human brucellosis epidemic trends in Changji city

The number of new human brucellosis cases has shown a periodic upward trend in Changji city, Xinjiang. It is essential to estimate the transmission intensity of brucellosis and put forward effective prevention and control measures. According to the mechanistic characteristics of brucellosis transmission, we established a seasonal dynamic model to describe the transmission of brucellosis among sheep/cattle, environment and humans. The constructed seasonal dynamic model SEIVW with periodic transmission rates has perfectly simulated the periodic upward trend of new human brucellosis cases in Changji city from 2020 to 2023. The mean absolute percentage error ( MAPE ) between the model-predicted and actual values was 33.20% for new cases and 10.56% for cumulative new cases. Long-term prediction over the next 25 years suggested that the number of new human brucellosis cases will first show an upward trend, reaching a peak of 3,688 cases in July 2032, followed by a gradual decline and stabilization after 2038. Furthermore, we estimated the basic reproduction number R 0 for brucellosis transmission is 2.8228 (95% CI: 2.8161-2.8295), indicating that the disease transmission remains severe and persistent. Parameter sensitivity analysis quantitatively identified key intervention strategies: increasing the culling rate of infected sheep/cattle, and improving the vaccination rate of susceptible sheep/cattle are the primary control measures. Additionally, enhancing environmental disinfection frequency can be served as a supplementary measures.

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Publication Details

Journal
Infectious Disease Modelling
Published
2026-05-01
DOI
https://doi.org/10.1016/j.idm.2026.05.002
Primary Topic
Brucella: diagnosis, epidemiology, treatment
Type
article
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Simulation and prediction of human brucellosis epidemic trends in Changji city

Pengwei Lou, Nannan Chen, Honggang Liu, Yuting Huang et al.
Infectious Disease Modelling
Brucella: diagnosis, epidemiology, treatment
article

Simulation and prediction of human brucellosis epidemic trends in Changji city

Pengwei Lou, Nannan Chen, Honggang Liu, Yuting Huang, Feng Zhao, Jiabo Xu, Kai Wang, Enguang Gao, Yifan Hu, Xiaolin Fan
article en

Abstract

The number of new human brucellosis cases has shown a periodic upward trend in Changji city, Xinjiang. It is essential to estimate the transmission intensity of brucellosis and put forward effective prevention and control measures. According to the mechanistic characteristics of brucellosis transmission, we established a seasonal dynamic model to describe the transmission of brucellosis among sheep/cattle, environment and humans. The constructed seasonal dynamic model SEIVW with periodic transmission rates has perfectly simulated the periodic upward trend of new human brucellosis cases in Changji city from 2020 to 2023. The mean absolute percentage error ( MAPE ) between the model-predicted and actual values was 33.20% for new cases and 10.56% for cumulative new cases. Long-term prediction over the next 25 years suggested that the number of new human brucellosis cases will first show an upward trend, reaching a peak of 3,688 cases in July 2032, followed by a gradual decline and stabilization after 2038. Furthermore, we estimated the basic reproduction number R 0 for brucellosis transmission is 2.8228 (95% CI: 2.8161-2.8295), indicating that the disease transmission remains severe and persistent. Parameter sensitivity analysis quantitatively identified key intervention strategies: increasing the culling rate of infected sheep/cattle, and improving the vaccination rate of susceptible sheep/cattle are the primary control measures. Additionally, enhancing environmental disinfection frequency can be served as a supplementary measures.

Infectious Disease Modelling
Xinjiang Medical University (CN), Xinjiang Institute of Engineering (CN), Gansu Coalfield Geology Bureau (CN)
Good health and well-being
Openalex Percentile: Top 5%
Brucella: diagnosis, epidemiology, treatment
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