Western Kentucky University

Risk Assessments for COVID-19

Harper FerrellFollow

Institution 24-25

Western Kentucky University

KY House District #

2

KY Senate District #

9

Department

Dept. of Economics

Abstract

In the world of COVID-19, a person’s risk assessment of the disease and its vaccines can greatly impact their likeliness of receiving said injections. Risk assessment is impacted by everything in a person’s life. Their political ideology, the region they live, or the age they are all impact how a person views, in this case, COVID-19 and its vaccines. These risk assessments tell scientists which groups of people are most and least likely to receive vaccinations and which areas can be focused on for vaccine education or promotion.

Different factors of risk assessment impact each other as well. For example, men of different ages or women of different political parties will have varying risk assessments. Two such factors are whether a person finds the CDC ad about the COVID-19 vaccine reliable and how many out of 100 people a person would think would experience serious side effects. Using regression models, the ratio of people who do or do not agree with statements or trust certain sources can be found. Regression models can also be used to find the average number of people participants say will have extreme or mild symptoms. The regression model then uses each demographic, such as age or gender, to find the difference in each sub-sections average.

It was concluded that the people who found the CDC ad credible were more likely to be elderly, married, and a democrat. It was also concluded that people who are young, have kids, or republican are more likely to guess that a larger amount of people with experience severe or serious symptoms after receiving the COVID-19 vaccine.

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Risk Assessments for COVID-19

In the world of COVID-19, a person’s risk assessment of the disease and its vaccines can greatly impact their likeliness of receiving said injections. Risk assessment is impacted by everything in a person’s life. Their political ideology, the region they live, or the age they are all impact how a person views, in this case, COVID-19 and its vaccines. These risk assessments tell scientists which groups of people are most and least likely to receive vaccinations and which areas can be focused on for vaccine education or promotion.

Different factors of risk assessment impact each other as well. For example, men of different ages or women of different political parties will have varying risk assessments. Two such factors are whether a person finds the CDC ad about the COVID-19 vaccine reliable and how many out of 100 people a person would think would experience serious side effects. Using regression models, the ratio of people who do or do not agree with statements or trust certain sources can be found. Regression models can also be used to find the average number of people participants say will have extreme or mild symptoms. The regression model then uses each demographic, such as age or gender, to find the difference in each sub-sections average.

It was concluded that the people who found the CDC ad credible were more likely to be elderly, married, and a democrat. It was also concluded that people who are young, have kids, or republican are more likely to guess that a larger amount of people with experience severe or serious symptoms after receiving the COVID-19 vaccine.