Date of Completion

2022

Document Type

Thesis

Degree Name

Bachelor of Science in Medical Laboratory Science

Keywords

Prevalence, Physiological effects, Degree of Severity, Post-COVID-19, COVID-19 survivors

Abstract

The unprecedented emergence of COVID-19 brought negative impacts up to the individual level. Despite the number of studies delineating its etiology and pathophysiology, only few studies have been conducted about the relationship of the physiological effects of COVID-19 with the different demographics. In that retrospect, this quantitative correlational study aimed to determine the prevalence and degree of severity of the perceived physiological effects of COVID-19 and whether they have a significant relationship with the respondent’s demographics. The selection of respondents was made purposively, and the sample size was achieved through G*power analysis. A Likert scale questionnaire was utilized ranging from 0 to 3 to collect data for statistical treatment using inferential statistics and the Chi-square test. From the results, fatigue was found out to be the most prevalent physiological effect while mild symptoms were the most prevalent degree of severity. It is also revealed that there is no significant relationship between the prevalence of the perceived physiological effects and sex. Only Ageusia had a significant relationship with program while fatigue, headache, fever, cough, and muscle pain have significant relationships with year level. It was also revealed that only year level had a significant relationship with the degree of severity of the identified physiological effects. Through the study, the researchers were able to identify the most prevalent physiological effects and their degree of severities. The study also revealed whether there is a significant relationship between the prevalence and degree of severity of physiological effects of COVID-19 and the respondent’s demographics.

First Advisor

Michael John C. Dacela

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