Relative risk:
This is the estimation of the magnitude of the relationship between exposure and the level of disease. It is mostly based on the incidences of diseases in the exposed form of groups relative to the other unexposed group counterpart. According to the relative risk of 1.0, it is an indication that there is no or minimal association between the exposure and the overall outcome. A corresponding scale of greater than 1.0 indicates a higher association level, while less than 1.0 is an inverse or a reduced form of association. In the relative way of risk, the participants are selected based on the type of disease.
Attributable risk: it is also called the threat of difference. It is the absolute difference concerning the incidence of the exposed and unexposed groups. The risk helps in quantifying the level of uncertainty in the exposed group to the extent of removing the risk in case it could have occurred due to different forms of exposure. The attributable risk calculates the number of diseases cases of the exposed group that could be eliminated if exposure factors were eliminated. It is a necessary form of measurement in the public health impact in the exposure in cases where there are cause and effect. For instance, COVID-19, WHO can measure the impact of the disease depending on the level of exposure per individual.
Population attributable risk: This is a form of risk that depends not only on the excess type of risk imposed by the level of exposure but also includes the share of the total population who are exposed. PAR is associated with measuring the total population who have been exposed to and affected by the disease. For instance, it can be sued to estimate the overall proportion of the births that are associate with interest in the outcome. In this case, the result is only compared to only one risk factor that explains the underlying factors that are associated with a 2×2 table in the ab]nalysis of the apparent form of risk.