BACKGROUND
Mathematical models have become a very important tool for the study of infectious diseases. Mathematical models can reflect the spread of infectious diseases, and can also be used to study the effect of different inhibition methods on the suppression of infectious diseases. The effect of control measures to obtain effective suppression programs can provide theoretical support for the suppression of infectious diseases. Therefore, it is the major objective of this study to build a suitable mathematical model for Brucellosis infection.
OBJECTIVE
To study the optimized pre-control method of Brucellosis model by the dynamic threshold-based microcomputer model, and to provide critical theoretical support for the prevention and control of Brucellosis.
METHODS
By studying the transmission characteristics of Brucella and building a Brucella transmission model, a pre-control method for key populations (Brucella susceptible populations) is designed according to these characteristics, thereby exploring the utilization of protective tools by key groups before and after pre-control.
RESULTS
The improvement in “whether wearing gloves” is the most obvious, which increases from 51.01% before the pre-control to 66.22% after the pre-control, with an increase of 15.21%. The difference is statistically significant (P<0.001). However, for “whether wearing hats”, the conditions of key populations are not improved significantly, which increases from 57.3% before the pre-control to 58.6% after the pre-control, with an increase of 1.3%. The difference is not statistically significant (P>0.05).
CONCLUSIONS
The research results of Brucellosis have provided theoretical support for the suppression of Brucella and the protective measures for key populations.