Risk analysis and assessment method for infectious diseases based on information entropy theory

Area of Science:

• Public Health
• Epidemiology
• Environmental Science

Background:

• The COVID-19 pandemic highlighted the critical need for robust infectious disease risk assessment.
• Proactive identification and analysis of infectious disease risk factors are crucial for preventing epidemics.
• Current approaches often focus on treatment rather than pre-outbreak risk evaluation.

Purpose of the Study:

• To develop a quantitative method for assessing infectious disease risk before outbreaks.
• To identify and weigh the influence of environmental factors on infectious disease risk.
• To evaluate the effectiveness of the proposed risk assessment methodology.

Main Methods:

• Utilizing information gain to determine the weight of environmental factors correlated with infectious disease risk.
• Implementing a risk weight number method for calculating disease risk under specific environmental conditions.
• Conducting case analyses and comparative discussions to validate the proposed approach.

Main Results:

• The proposed method effectively quantifies the correlation between environmental factors and infectious disease risk.
• Risk levels for various infectious diseases can be calculated based on specific environmental influences.
• The methodology demonstrates feasibility and effectiveness compared to existing risk assessment techniques.

Conclusions:

• The developed method offers a valuable tool for proactive infectious disease risk assessment.
• Understanding environmental factor influence is key to mitigating epidemic potential.
• This approach supports enhanced public health preparedness and response strategies.