Survivors of Covid-19: Testing, Symptoms, Severity, and Post-Exposure Conditions among New Yorkers

摘要

The novel Coronavirus Disease 2019 (COVID-19) is a pandemic of great public health and clinical concern due to its high rate of infectivity, and subsequent morbidity and mortality. The objectives of the study were to 1) assess individual experiences with testing and symptoms of COVID-19 infection;2) determine the extent to which individuals experienced COVID-19 post-exposure symptoms;and 3) determine if an association exists between pre-existing conditions and severity of COVID-19 symptoms with post-exposure symptoms. One hundred and twenty-one (N= 121) New York State residents who had COVID-19 symptoms and were tested positive for the virus participated in this study. The survey was created in Qualtrics, and the link was posted online (Facebook, Twitter, Snap Chat), and sent to New Yorkers via email and WhatsApp to gather data. Data were exported from Excel spreadsheet to Statistical Package for the Social Sciences (SPSS), version 25, where Chi-Square tests were conducted. Results indicated that most of the participants were between ages 18-35 (54.5%), African Americans (50.4%), non- Hispanic (65%), female (69.4%), had less than a college degree (51%), and made an income in 2019 of less than $55,000 per year (62%). Eighty-seven (approximately 73%) of the participants reported that getting access to testing was easy/very easy. More than one-half reported that they experienced fatigue (66.9%), lack of energy (61.2%), headache (57.9%), muscle ache (53.7%), cough (50.4%), and loss of smell (50.4%) while infected with COVID-19. Participants who experienced symptoms described their most bothersome symptom as severe (37%), followed by mild (33%), and moderate (27%). There was a statistically significant relationship between severity of symptoms and post-exposure problems experienced by participants (X2 = 13.69;df = 2;p = .001);as well as between pre-existing conditions and post-exposure problems experienced by participants (X2 = 10.53;df = 1;p = .001). Information from this study could benefit public health practitioners and clinicians by improving their knowledge about COVID-19 and its impacts on survivors.