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In or Out: to Mask or Not to Mask

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Tampa

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Donna Le Ettel-Gambino

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Introduction: With COVID-19 presenting the major threat of a global pandemic, it is vital to understand which guidelines are being followed and which are being ignored. The purpose of this study was to determine if gender influences how people reacted to COVID-19 and its variants. Materials and Methods: A causal comparative approach was utilized. A multivariance analysis of variance was conducted utilizing SAS 9.4 (Cary NC). The independent variable was gender. The dependent variables were if 1) the vaccine protects against the omicron variant; 2) if they washed their hands thoroughly; 3) avoided infected people; 4) wore mask indoors; 5) wore mask outdoors; 6) followed physically distancing guidelines; and 7) If they were vaccinated. Results: The findings of this study had one statically significant criterion: The significant criterion was wearing a mask outdoors with a value of p > 0.001. Overall students (93%) reported wearing their mask outdoors. Discussion: This value means that when comparing the proportion of male students to the proportion of female students who do not wear their mask outdoors, male students (52%) were less likely to wear a mask outdoors than female students (71%). Implying that when looking at genders we can there is a difference in the level of compliance with guidelines for COVID. Conclusion: With this knowledge we may better understand what guidelines and to who these guidelines need to be encouraged to, this helps the public better protect themselves and others. We can also use this information to understand how we may better encourage guidelines for future or other diseases.

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In or Out: to Mask or Not to Mask

Introduction: With COVID-19 presenting the major threat of a global pandemic, it is vital to understand which guidelines are being followed and which are being ignored. The purpose of this study was to determine if gender influences how people reacted to COVID-19 and its variants. Materials and Methods: A causal comparative approach was utilized. A multivariance analysis of variance was conducted utilizing SAS 9.4 (Cary NC). The independent variable was gender. The dependent variables were if 1) the vaccine protects against the omicron variant; 2) if they washed their hands thoroughly; 3) avoided infected people; 4) wore mask indoors; 5) wore mask outdoors; 6) followed physically distancing guidelines; and 7) If they were vaccinated. Results: The findings of this study had one statically significant criterion: The significant criterion was wearing a mask outdoors with a value of p > 0.001. Overall students (93%) reported wearing their mask outdoors. Discussion: This value means that when comparing the proportion of male students to the proportion of female students who do not wear their mask outdoors, male students (52%) were less likely to wear a mask outdoors than female students (71%). Implying that when looking at genders we can there is a difference in the level of compliance with guidelines for COVID. Conclusion: With this knowledge we may better understand what guidelines and to who these guidelines need to be encouraged to, this helps the public better protect themselves and others. We can also use this information to understand how we may better encourage guidelines for future or other diseases.