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      Repurposing and reshaping of hospitals during the COVID-19 outbreak in South Korea

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      One Health
      Published by Elsevier B.V.
      COVID-19, Outbreak, Nosocomial infection, South Korea

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          Abstract

          During the extensive outbreak of coronavirus disease 2019 (COVID-19) in South Korea, many strategies in the hospital setting, such as stratified patient care, the assignment of hospitals/beds by a task force team, and the establishment of dedicated COVID-19 hospitals, dedicated COVID-19 emergency centers, COVID-19 community facilities, and respiratory care split hospitals, were adopted to mitigate community transmission and prevent nosocomial infection. Most of these strategies were used during the Middle East Respiratory syndrome outbreak and were applied again successfully during the COVID-19 outbreak. The reallocation of health care capacity, repurposing of hospitals, and close collaboration between the government and the health care committee might have been the key to successfully addressing the crisis of COVID-19 given the shortage of health care resources.

          Highlights

          • Repurposing and reshaping of hospitals could be working on containing the COVID-19 outbreak and limiting nosocomial infections.

          • Dedicated COVID-19 hospitals, dedicated COVID-19 emergency centers, COVID-19 community facilities, and respiratory care split hospitals were established to mitigate the COVID-19 outbreak in South Korea.

          • The reallocation of healthcare personnel and facilities was critical to address the COVID 19 outbreak, given the shortage of health care resources.

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          Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in South Korea, 2015: epidemiology, characteristics and public health implications

          Summary Background Since the first case of Middle East respiratory syndrome coronavirus (MERS-CoV) in South Korea was reported on 20th May 2015, there have been 186 confirmed cases, 38 deaths and 16,752 suspected cases. Previously published research on South Korea's MERS outbreak was limited to the early stages, when few data were available. Now that the outbreak has ended, albeit unofficially, a more comprehensive review is appropriate. Methods Data were obtained through the MERS portal by the Ministry for Health and Welfare (MOHW) and Korea Centres for Disease Control and Prevention, press releases by MOHW, and reports by the MERS Policy Committee of the Korean Medical Association. Cases were analysed for general characteristics, exposure source, timeline and infection generation. Sex, age and underlying diseases were analysed for the 38 deaths. Findings Beginning with the index case that infected 28 others, an in-depth analysis was conducted. The average age was 55 years, which was a little higher than the global average of 50 years. As in most other countries, more men than women were affected. The case fatality rate was 19.9%, which was lower than the global rate of 38.7% and the rate in Saudi Arabia (36.5%). In total, 184 patients were infected nosocomially and there were no community-acquired infections. The main underlying diseases were respiratory diseases, cancer and hypertension. The main contributors to the outbreak were late diagnosis, quarantine failure of ‘super spreaders’, familial care-giving and visiting, non-disclosure by patients, poor communication by the South Korean Government, inadequate hospital infection management, and ‘doctor shopping’. The outbreak was entirely nosocomial, and was largely attributable to infection management and policy failures, rather than biomedical factors.
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            Middle East respiratory syndrome: what we learned from the 2015 outbreak in the Republic of Korea

            Middle East Respiratory Syndrome coronavirus (MERS-CoV) was first isolated from a patient with severe pneumonia in 2012. The 2015 Korea outbreak of MERSCoV involved 186 cases, including 38 fatalities. A total of 83% of transmission events were due to five superspreaders, and 44% of the 186 MERS cases were the patients who had been exposed in nosocomial transmission at 16 hospitals. The epidemic lasted for 2 months and the government quarantined 16,993 individuals for 14 days to control the outbreak. This outbreak provides a unique opportunity to fill the gap in our knowledge of MERS-CoV infection. Therefore, in this paper, we review the literature on epidemiology, virology, clinical features, and prevention of MERS-CoV, which were acquired from the 2015 Korea outbreak of MERSCoV.
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              Nosocomial infection among patients with COVID-19: A retrospective data analysis of 918 cases from a single center in Wuhan, China

              To the Editor—The emergence of coronavirus disease-2019 (COVID-19) in China at the end of 2019 has caused a global pandemic and is a major public health issue. 1 The percentage of nosocomial infection among COVID-19 patients who have died was significantly higher than that of patients who were cured and discharged (P = .002). 2 We investigated nosocomial infection among COVID-19 patients, and we analyzed risk factors to provide basic data for nosocomial infection prevention and control. We retrospectively analyzed the clinical data of 918 COVID-19 patients in Tongji Hospital from December 30, 2019, to February 29, 2020. We performed a 1:4 paired case-control study: 65 patients with nosocomial infection were assigned to the case group and 260 non–nosocomial infection patients were assigned to the control group. We analyzed clinical data regarding patient demographics, basic disease, and treatments, and we summarized influencing factors of NI among COVID-19 patients. This study was approved by the Ethics Commission of Tongji Hospital (no. TJ-IRB20200338). Male gender accounted for 47.7% of the 65 patients in case group (Table 1). The median age at the time of admission was 51 years (IQR, 36–71 years). In total, 40 of 65 patients (65.6%) in the case group had comorbidities; the most prevalent of these were hypertension (36.9%), cardiovascular disease (18.5%), and diabetes (18.5%). Approximately one-third of patients (33.8%) had COVID-19 at the time of admission. 3 The nosocomial infection rate among COVID-19 patients was 7.1% (65 of 918). The most common nosocomial infection was pneumonia (32.3%), followed by bacteremia (24.6%), and urinary tract infection (21.5%). In total, among the 43 pathogens isolated from nosocomial infections, 17 were gram-positive bacteria, 21 were gram-negative bacteria, and 5 were fungi. Onset of nosocomial infection occurred as early as day 7 of the course of illness and as late as day 22, with an average of 14.3 ± 8 d. The mortality of COVID-19 patients with nosocomial infection was 15.4%, significantly higher than that of COVID-19 patients without nosocomial infection (7.3%; odds ratio [OR], 3.87; 95% confidence interval [CI], 0.84–4.16; P = .045). Table 1. Characteristics of Nosocomial Infection Among Patients With COVID-19 Characteristic No. (N=65) % Age, median y (IQR) 51 (27–68) Sex  Male 31 47.7  Female 34 52.3 Comorbidities 40 65.6  Hypertension 24 36.9  Cardiovascular disease 12 18.5  Diabetes 12 18.5  Underlying hematological disease 3 4.6  Chronic kidney disease 3 4.6  Respiratory disease 2 3.1  Cerebrovascular disease 2 3.1  Chronic liver disease 1 1.5  Malignancy 1 1.5 Charlson comorbidity score  2 46 70.8  3–4 19 29.2 Clinical classification of COVID-19  Severe type 43 66.0  Critical type 22 33.8 Invasive devices (CVC or PICC) 25 38.5 Prophylactic application of antibiotics 49 75.4  Cephalosporins 6 9.2  Fluoroquinolones 40 61.5  β lactam/β-lactamase inhibitors 5 7.7  Azithromycin 3 4.6  Ornidazole 2 3.1  Combination of antibioticsa 7 10.8 Infection site  Pneumonia 21 32.3  Bacteremia 16 24.6  Urinary tract infection 14 21.5  Skin soft-tissue infection 8 12.4  Gum infection 4 6.2  Others 2 3.1 Antiviral treatment 46 70.8 Glucocorticoid treatment 25 38.5 Pathogen isolates 43  Coagulase negative staphylococcus 12 27.9  Acinetobacter 9 20.9  Pseudomonas aeruginosa 6 14.0  Enterococcus faecium 5 11.6  Klebsiella pneumoniae 4 9.3  Escherichia coli 2 4.6  Candida albicans 2 4.6  Mucor 2 4.6  Other 1 2.3 Mortality 10 15.4 Note. IQR, interquartile range. The association between demographic and clinical factors and the treatment of nosocomial infection as determined by univariate and multivariable analyses was displayed in Supplementary Table 1. Significant positive associations between nosocomial infection and the following were detected by univariate analysis: diabetes, hematological disease, invasive devices (central venous catheter [CVC] or peripherally inserted central catheter [PICC]), combination of antibiotics, and glucocorticoid treatment. Among these factors, the highest odds ratio was for invasive devices (OR, 4.62; 95% CI, 2.47–8.62) followed by diabetes (OR, 3.04; 95% CI, 1.38–6.69), combination of antibiotics (OR, 3.02; 95% CI, 1.10–8.26), glucocorticoid treatment (OR, 2.44; 95% CI, 1.36–4.37), and hematological disease (OR, 1.95; 95% CI, 1.01–1.06). For multivariable analysis, the dependent variable was nosocomial infection status and independent variables were all factors that demonstrated statistical significance, as mentioned with univariate analysis. Significant predictors of nosocomial infection after adjustment for other covariates were invasive devices (OR, 4.28; 95% CI, 2.47–8.61; P =.007) followed by diabetes (OR,: 3.06, 95% CI, 1.41–7.22; P =.037), and combination of antibiotics (OR, 1.84, 95% CI, 1.31–4.59; P = .003) (Supplementary Table 1 online). In conclusion, these findings suggest that nosocomial infections are common among patients with COVID-19 and can be predicted by considering certain risk factors. Rational utilization of antibiotics and steroids to treat patients with COVID-19 is important in preventing nosocomial infection, and special attention should be given to diabetic patients and patients with invasive devices (ie, CVC or PICC). Future studies are warranted to evaluate the efficacy of implementing infection control strategies or protocols on COVID-19 patients to achieve better therapeutic outcomes.
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                Author and article information

                Contributors
                Journal
                One Health
                One Health
                One Health
                Published by Elsevier B.V.
                2352-7714
                5 May 2020
                5 May 2020
                : 100137
                Affiliations
                Department of Internal Medicine, Pyeongtaek Good Morning Hospital, Pyeongtaek, South Korea
                Author notes
                [* ]Corresponding author at: Department of Internal Medicine, Pyeongtaek Good morning Hospital, 338Jungang-ro, Pyeongtaek-si, Gyeonggi-do, Pyeongtaek, South Korea. alsdud92@ 123456gmail.com
                Article
                S2352-7714(20)30100-2 100137
                10.1016/j.onehlt.2020.100137
                7198431
                32373705
                587fde0e-6e24-4fbc-a06b-1efbce97ba9b
                © 2020 Published by Elsevier B.V.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 18 April 2020
                : 30 April 2020
                : 30 April 2020
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                covid-19,outbreak,nosocomial infection,south korea
                covid-19, outbreak, nosocomial infection, south korea

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