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This study aims to analyze the effects of Covid-19 on the floating population of Seoul, based on population influx/outflux data from January-June, 2019 and January- June, 2020. The datasets are partitioned into their respective administrative districts. Moreover, to understand the effects of Covid-19, the PageRank algorithm is employed to analyze and identify the districts with the most population influx as well as the changes in population movement in Seoul between 2019 to 2020.
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We analyze the impact of financial crises on major stock markets from 2000 to the COVID-19 pandemic using Fourier series. Analyzing the behaviors of the spectra obtained from monthly returns of their indices, we identify three global financial crises from 2000 to 2015, with different characteristics. In addition, applying Z-test and the color-contour plotting method to monthly propagations of the spectra of major frequencies from the monthly returns of each index, we analyze the developments in each market around the crises by comparing patterns in the color-contour plots. Using recent status analysis, we identify an instability around 2016 close to a real crisis;starting in 2020, the markets, which had already recovered from this instability have generated abnormal signals of an approaching crisis. Applying Z-test and color-contour plotting to monthly propagations from the recent status, we show that recent developments in major markets might be more serious than those occurring around previous financial crises. © 2022, Kauno Technologijos Universitetas. All rights reserved.
ABSTRACT
INTRODUCTION: Barlow Respiratory Hospital (BRH) is a 105-bed, not for profit, long-term acute care (LTAC) hospital serving chronically critically ill (CCI) and complex patients transferred from the ICUs of hospitals in southern California. Herein, we report patient characteristics of our first series of COVID-19 survivors admitted to the post-acute venue of an LTAC. METHODS: Single-center descriptive report of patients recovering from acute infectious complications of COVID-19 pneumonia. The Barlow performance improvement database and transferring hospital documentations were queried for selected patient demographics, admission characteristics, diagnoses, and co-morbidities. RESULTS: From 4/28/2020-7/7/2020, 30 post-COVID patients admitted to BRH. All tested negative for COVID-19 prior to transfer. Pre-morbid location home: 63%. Ethnicity: 47% Caucasian, 30% Hispanic, 10% Asian, 6% African American. Acute care course: 90% mechanically ventilated, 43% ARDS, 43% sepsis, 63% AKI/ARF, 37% heart failure. COVID-19 risk factors: 60% type 2 DM, 73% HTN, 33% CAD, 33% HLD, 47% BMI ≥ 30. On BRH admission: age 74.5 [44-99] years, 60% male;length of stay at transferring facility 40 [8-77] days;73% with pressure injury ≥ stage 2, 47% with multiple pressure injuries;30% on hemodialysis, 80% with tracheostomy, 53% on mechanical ventilation, 80% with feeding tube, 47% with central line, 33% with indwelling urinary catheter. Lab: Mean (SD): Hematocrit 30.2% (5.9), Albumin 2.9 g/dl (0.59), BUN 41.8 mg/dl (27.4), Creatinine 1.7 mg/dl (2.1), Glucose 143 mg/dl (50.6). CONCLUSIONS: This is the first report to characterize post-COVID patients transferred to an LTAC. Patients are largely elderly, with known risk factors, spent an average 6 weeks in ICU, with mechanical ventilation via tracheostomy. Overall, these early findings suggest that these CCI patients will continue to require considerable medical interventions and treatments, owing to the numerous sequelae of the infection, and the burden of acute-on-chronic diseases. As ICU survival rates improve, this survey further emphasizes the important role of LTAC in responding to the COVID-19 crisis. LTAC hospitals not only relieve acute care hospitals from the enormous patient burden but also provide high-level care for complex chronic medical conditions caused by COVID-19.