Assignment 2

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School

Rutgers University *

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Course

01:119:150

Subject

Statistics

Date

Jan 9, 2024

Type

pdf

Pages

Uploaded by KidSnowAlbatross25

1. Who is the first author of the paper? Where do they work? Megan Landry is the first author. She works as the project director for the Campus COVID-19 Support Team at the George Washington University, Washington, DC. 2. What research journal will the paper be published in? Please note that this is an early release of an article that is available on the CDC website (the CDC is not the research journal itself). The paper will be published in the Volume 29, Number 3 of the Emerging Infectious Diseases research journal 3. Provide the full citation for the article (please use the format provided in the final paper assignment documentActions ). Please note that you only need to list the first three authors, then use et al. for the rest. Landry M, Bornstein S, Nagaraj N, Sardon Jr GA, Castel A, Vyas A, et al. Postacute sequelae of SARS-CoV-2 in university setting. Emerg Infect Dis. 2023 Mar [ date cited ]. https://doi.org/10.3201/eid2903.221522 4. What specific question/problem does this research address? Why is it important? The purpose of the study was to , “examine the prevalence and predictors of long COVID in a university community”. They were specifically asking, which demographics of people were most susceptible to Long COVID? This is important to know because if you fall into any of the categories found to be more susceptible, then the individual should be more aware of their health. 5. In your own words (a couple of sentences), describe the methods the researchers used to address their question/problem. Please be sure that you include a description of the sample. The sample group that the researchers looked at was 4,800 COVID-19 cases from August 2020 to February 2022. They took information by having follow-up telephone interviews, anyone that didnt answer had their information taken through an electronic anonymous survey. They took information like using the respondent's date of birth, which was taken from their health record, to determine age. At the time the case investigation was conducted, sex and race were self-reported. With the use of the telephone interviews and surveys and the individuals background information, then the researchers were able to separate those afflicted into different categories.

6. In your own words (a couple of sentences), describe the findings or results. Please be as specific as possible, including numbers when appropriate. The final result that was found was that more than half of respondents were female with 63.4% and non-Hispanic White with 55.7%. Of the whole sample most of the ones infected were students with 73.4% and the other 26.6% were faculty/staff. Of all the respondents 75.2% had no prior underlying conditions, 83.0% never smoked, 79.1% had acute COVID-19 symptoms, 96.6% did not seek medical care at the time of their first positive COVID-19 result, and 94.5% did not receive monoclonal antibody treatment. It was also found that 41.5% of respondents had received a booster vaccine, 29.9% were fully vaccinated with an initial vaccine series, and 28.6% were not fully vaccinated at the time of their first positive COVID-19 test result. 92.0% had upper respiratory issues like congestion, cough, sore throat, runny nose, 51.2% experienced headache, 51.1% experienced fatigue, and 44.9% experienced chills/fever. 7. How did the authors interpret these results (conclusions/discussion)? That is, summarize the conclusions (a couple of sentences) that describe the significance of the results you summarized in part 6 within the context of the field. Make sure that all of the conclusions you describe are supported by the methods and results you described in parts 5 and 6. From the results of the experiments, the researchers found that the factors of survey respondents that linked with extended COVID status included sex, race/ethnicity, underlying conditions, smoking status, vaccination status, any symptoms, symptom kind, symptom count, seeking medical attention, and receiving antibody treatment. Certain people in these groups were found to have a higher proclivity towards caughting long COVID. Examples of this would be from question 6, how 63.4% of the sample group was female (sex), 55.7% were non-Hispanic White people (race/ethnicity), and that 75.2% had no prior underlying conditions. The researchers found that Long COVID was substantially correlated with immunization status, those who were fully immunized had higher odds than those who had additionally gotten a booster, and those who were not fully immunized had higher odds than both groups. From question 6, 41.5% of respondents had received a booster vaccine, 29.9% were fully vaccinated with an initial vaccine series, and 28.6% were not fully vaccinated at the time of their first positive COVID-19 test result which proves the prior conclusion. Overall, some factors from the survey that was taken were linked with long COVID.

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