Vaccine Preventive Effectiveness Rate

Vaccine preventive efficacy coefficient (PPE) is an indicator of the vaccine’s ability to prevent clinical manifestations of an infectious disease. It is defined as the ratio of the difference in the number of cases in the control and vaccinated groups to the number of cases in the control group, expressed as a percentage.

KPI shows the effectiveness of the vaccine in preventing the disease and is one of the main indicators of its quality. The higher the CPE, the more effective the vaccine. However, it is worth considering that CPE is not the only indicator of vaccine effectiveness. It can be overestimated if a low-quality vaccine is used or if it is used incorrectly.

To determine the EPI, strictly controlled epidemiological experiments are carried out. During the experiment, one group of people receives a vaccine and the other receives a placebo. Both groups are then monitored to identify clinical manifestations of the disease. The results of the experiment make it possible to determine the EPI of the vaccine based on the ratio of the number of cases in each group.

The preventative effectiveness rate of vaccines may vary depending on the type of disease and the type of vaccine. For example, for influenza vaccines, the CPE coefficient can be about 40-60%, and for measles vaccines - about 90%.

It is important to note that the EPI is only one of many indicators of vaccine effectiveness. It is also necessary to consider possible side effects and risks associated with the use of the vaccine. Therefore, before deciding to vaccinate, you must carefully study all the data and consult your doctor.



Introduction: The coefficient of preventive effectiveness of vaccines is one of the most important indicators that characterizes the ability of a vaccine to prevent diseases. To calculate this indicator, it is necessary to conduct an experiment with the participation of control and vaccination groups in which clinical observation of the incidence occurs. In this article we will look at how this indicator is calculated and what factors can affect its value.