1. Goal setting: Before assessing health risks, it is necessary to define the goals, that is, to determine the health problems or risk events of concern. For example, research may focus on the incidence of diseases or the toxicity of harmful substances to human body.
2. Data collection and analysis: collect relevant data and information for quantification and analysis. This may include collecting incidence, epidemiological survey data, laboratory test results, etc. Through data analysis, the existence and influence degree of risk factors can be determined.
3. Risk assessment: According to the collected and analyzed data, conduct risk assessment to determine the level and degree of health risks. This can use various evaluation methods, including probability statistical model, risk matrix, etc.
4. Quantitative expression: Quantify the obtained evaluation results into the quantitative expression of ideal risk degree for comparative analysis. This can be a number (such as percentage) or a scale (such as low, medium and high).
5. Risk communication: Communicate the evaluation results to relevant risk takers and decision makers. This requires the use of easy-to-understand and convey language and charts to explain the degree and impact of risks.
The ideal risk degree can be expressed in many ways, depending on the specific evaluation objectives and the availability of data. The purpose is to provide an objective and scientific method to describe and compare health risks, so as to help decision makers make corresponding decisions and actions to reduce risks.