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1.
Proceedings of the ACM on Human-Computer Interaction ; 7(CSCW1), 2023.
Article in English | Scopus | ID: covidwho-2315928

ABSTRACT

The COVID-19 pandemic has affected more than 301 million people worldwide so far. Many communities (such as minority communities) suffered disproportionately more difficulties throughout the pandemic. In this paper, we would like to focus on one such community: COVID-19 long-haulers community. Long-hauler community consists of people affected by Coronavirus, but their symptoms do not cure in a couple of weeks;instead, they experience lingering symptoms for months. The concerns of this community were initially ignored by health care providers primarily because of limited information. In this paper, we have analyzed the social media discussion of a private Facebook group dedicated to the long-hauler community. In addition, we interviewed the community members to investigate their motivations for joining the group and how the group has impacted their lives as long-hauler patients. Our analyses revealed the primary discussion topics of this community. It also showed how a minority community could stand by each other using social media groups during a crisis. We concluded the paper with long-term implications of our findings for health care systems, policies, and existing literature on cooperative AI. © 2023 ACM.

2.
Eur J Gen Pract ; 29(2): 2154074, 2023 Dec.
Article in English | MEDLINE | ID: covidwho-2187441

ABSTRACT

BACKGROUND: Most studies on long-term follow-up of patients with COVID-19 focused on hospitalised patients. No prospective study with structured follow-up has been performed in non-hospitalised patients with COVID-19. OBJECTIVES: To assess long-COVID and post-COVID (WHO definition: symptomatic at least 12 weeks), describe lingering symptoms, their impact on daily activities, and general practice visits and explore risk factors for symptom duration in outpatients. METHODS: A prospective study of adult outpatients with confirmed SARS-CoV-2 infection and symptoms consistent with COVID-19 in 11 European countries, recruited during 2020 and 2021 from primary care and the community. Structured follow-up by phone interviews (symptom rating, symptom impact on daily activities and general practice visits) was performed at weeks 2, 4, 8, and 12 by study personnel. Data was analysed descriptively by using correlation matrixes and Cox regression. RESULTS: Of 270 enrolled patients, 52% developed long-COVID and 32% post-COVID-syndrome. When only considering the presence of moderate or (very) severe symptoms at weeks 8 and 12, these percentages were 28% and 18%, respectively. Fatigue was the most often reported symptom during follow-up. The impact of lingering symptoms was most evident in sports and household activities. About half (53%) had at least one general practice contact during follow-up. Obese patients took twice as long to return to usual health (HR: 0.5, 95%CI: 0.3-0.8); no other risk profile could predict lingering symptoms. CONCLUSION: Long-COVID and post-COVID are also common in outpatients. In 32%, it takes more than 12 weeks to return to usual health.


Subject(s)
COVID-19 , Outpatients , Adult , Humans , Post-Acute COVID-19 Syndrome , Follow-Up Studies , Prospective Studies , SARS-CoV-2
3.
Cureus ; 14(5): e24736, 2022 May.
Article in English | MEDLINE | ID: covidwho-1893331

ABSTRACT

Background Recent studies showed that a significant percentage of people who recovered from coronavirus disease 2019 (COVID-19) had lingering symptoms. Among patients diagnosed with COVID-19 infection, studies showed persistent symptoms both in patients hospitalized and in outpatient settings. In the studies done in the outpatient setting involving mild to moderate COVID-19 patients, there were significant variations regarding the exact percentage of people with lingering symptoms. Also, in the outpatient setting, not many studies were done on COVID-19 patients that assessed risk factors for having lingering symptoms. Given that a large percentage of people infected with COVID-19 infection do not get hospitalized, it is imperative that this lacuna be filled. We believe knowing the details of long-term symptoms of COVID-19 infection both from prevalence and predictors point of view, could allow the physicians, healthcare system and community to better prepare for managing and following these patients. Materials and methods Our study period was within 12 months after the first documented case of COVID-19 occurred in the State of Alabama. Our study population included patients who were diagnosed with a documented case of COVID-19 in this time period and were under the care of a single primary care provider at an ambulatory clinic. Among 80 patients who had documented COVID-19, three left the practice, two declined to participate in the study and three were deceased (two due to COVID-19 and one for other reasons). Therefore, the study population constituted 72 patients. A questionnaire was mailed to all 72 patients to see how many of them had symptoms three months and beyond of having COVID-19 infection. A chart review was conducted for the study participants to assess for "Comorbid conditions", health conditions that were considered conclusively high risk for acute COVID-19 infection by US Center for Disease Control and Prevention (CDC). Results Fifty-three patients responded to the questionnaire; 27 patients (50.9%) reported lingering symptoms beyond three months of diagnosis with COVID-19 infection. The three most common symptoms reported were fatigue (56%), brain fog (48%), and shortness of breath (41%). The results also showed that women are more likely than men to have lingering symptoms. "Elderly" (≥65 years) patients were as likely as 18-64 years old patients to have lingering symptoms and the presence of one or more of the "Comorbid conditions" does not have any bearing on the occurrence of lingering symptoms. Conclusion Future studies should be done in a larger population to assess the findings that our study showed regarding "elderly" age and the presence of one or more "comorbid conditions" being independent variables of the occurrence of prolonged COVID-19 symptoms. We recommend studies be done assessing the prevalence and predictors for the long-term effects of the COVID-19 infection. This knowledge could help in preventing those long-term symptoms from occurring in the first place and also in preparing the patient, the physician and the community in managing the outcomes effectively.

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