지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Background: Coronavirus disease (COVID-19), first reported at the end of 2019, is characterized by a broad spectrum of clinical manifestations ranging from asymptomatic to multi-organ dysfunction. These symptoms may persist even after the acute phase has passed. Post-acute COVID-19 syndrome (long-COVID) is a condition characterized by COVID-19 symptoms that persist for longer than two months after infection. Fatigue, muscle and joint pain, dyspnea, cognitive impairment, and anxiety are the most common symptoms of long-COVID. Given the substantial impact of COVID-19 sequelae on the quality of life of its survivors, as well as its socioeconomic burden, proactive measures are required.
Current Concepts: Following the identification of long-COVID characteristics and symptoms, patient-centered care based on vaccination, COVID-19 medications, and digital healthcare is recommended. Furthermore, people who are more vulnerable to long-COVID, such as those with respiratory dysfunctions or the older adults, require more specialized and attentive management. Big data and artificial intelligence will hopefully enable a more timely and effective response to this healthcare issue.
Discussion and Conclusion: Infectious diseases threaten our lives constantly, as evidenced by the recent COVID-19 pandemic and its lingering consequences. A novel virus can emerge at any time and place, resulting in substantial clinical and economic loss. At this stage, it is crucial to establish prompt and effective strategies against long-COVID, as well as against potential pandemics.
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