Post COVID-19 1 st Dose Vaccination Common Symptoms among SE Asia College Students

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Abstract

In the second year of the COVID-19 epidemic in the Southeast Asia (SE) regions, there is a plan to reopen the school, including the campus. Among students in Indonesia, college students have a population of almost 8.3 million. Considering the massive numbers of college students, school reopening should be supported by adequate COVID-19 vaccination. As a result, the first dose of the inactivated virus COVID-19 vaccine has been administered, including to college students aged over 18 years old. While COVID-19 vaccination is widely available, there is still a scarcity of information on post-vaccination symptoms. As reported from other locations, post vaccination has been reported. Then, this study aims to assess the common symptoms of COVID-19 1 st dose vaccinations among the following groups: gender (male and female college students), age, body weight, and height. The observed symptoms include sore arms, fatigue, headache, fever with a body temperature above 38 °C, nausea, shivering, and muscle joint pain. Participants in this study were students at the university. They were considered eligible for this study if they were currently enrolled at university, were at least 19 years of age, and provided informed consent. The data was recorded using a standardized online questionnaire. The answers were collected in an online database. At the beginning of the questionnaire, subjects or students were informed that data would be collected anonymously. Based on the results, the symptoms were different between female and male students. In fact, female students have experienced more symptoms than male students. While male students only suffered sore arms (68%) followed by headache symptoms (32%). Similar to male students, sore arms are the most common symptom observed among female students. Among female students, from the most to the least common symptoms observed from 20 years of age in this study are sore arms at site reaction > headache > fatigue > fever > muscle joint pain > shivering > nausea. A higher risk of presenting fatigue and headache symptoms was found in those with a non-overweight status with weight ranges of 50-60 kg.

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  1. SciScore for 10.1101/2021.12.21.21268173: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    EthicsConsent: Students were eligible if they were currently enrolled at university, were at least 19 years of age, and provided informed consent. 2.2. Procedure: The data related to demography, COVID-19 vaccination, and related symptoms and variables were recorded using a standardized online questionnaire.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    No key resources detected.


    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.


    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.