Abstract

Background

Brucellosis is a chronic zoonotic disease, and Ningxia is one of the high prevalence regions in China. To mitigate the spread of brucellosis, the government of Ningxia has implemented a comprehensive prevention and control plan (2022-2024). It is meaningful to quantitatively evaluate the accessibility of this strategy.

Methods

Based on the transmission characteristics of brucellosis in Ningxia, we propose a dynamical model of sheep-human-environment, which coupling with the stage structure of sheep and indirect environmental transmission. We first calculate the basic reproduction number \(R_0\) and use the model to fit the data of human brucellosis. Then, three widely applied control strategies of brucellosis in Ningxia, that is, slaughtering of sicked sheep, health education to high risk practitioners, and immunization of adult sheep, are evaluated.

Results

The basic reproduction number is calculated as \(R_{0}=1.47\), indicating that human brucellosis will persist. The model has a good alignment with the human brucellosis data. The quantitative accessibility evaluation results show that current brucellosis control strategy may not reach the goal on time. “Ningxia Brucellosis Prevention and Control Special Three-Year Action Implementation Plan (2022-2024)” will be achieved in 2024 when increasing slaughtering rate \(\gamma\) by 30\(\%\), increasing health education to reduce \(\beta _{h}\) to 50\(\%\), and an increase of immunization rate of adult sheep \(\theta\) by 40\(\%\).

Conclusion

The results demonstrate that the comprehensive control measures are the most effective for brucellosis control, and it is necessary to further strengthen the multi-sectoral joint mechanism and adopt integrated measures to prevention and control brucellosis. These results can provide a reliable quantitative basis for further optimizing the prevention and control strategy of brucellosis in Ningxia.

Details

Title
Accessibility of the three-year comprehensive prevention and control of brucellosis in Ningxia: a mathematical modeling study
Author
Gong, Wei; Sun, Peng; Zhai, Changsheng; Yuan, Jing; Chen, Yaogeng; Chen, Qun; Zhao, Yu
Pages
1-12
Section
Research
Publication year
2023
Publication date
2023
Publisher
BioMed Central
e-ISSN
14712334
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2815558641
Copyright
© 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.