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.

INTRODUCTION This study investigated the association between smoking types, including dual use (usage of both combustible cigarettes and e-cigarettes), and non-alcoholic fatty liver disease (NAFLD) status in Korean men. METHODS Data from the 7th and 8th Korea National Health and Nutrition Examination Survey (KNHANES) 2016-2020 were used. The presence of NAFLD was defined by the respective cut-off values for the Hepatic Steatosis Index (HSI), NAFLD Ridge Score (NRS), and Korea National Health and Nutrition Examination Survey NAFLD score (KNS). Multivariate logistic regression analyses were used to determine the associations between smoking types and NAFLD as determined by HSI, NRS, and KNS. RESULTS After adjustment for confounders, an independent association was observed between dual use and NAFLD (