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Sci Total Environ ; 750: 141521, 2021 Jan 01.
Article in English | MEDLINE | ID: covidwho-693400

ABSTRACT

In order to control the spread of COVID-19, social distancing measures were implemented in many countries. This study investigated changes in air pollution during the social distancing after the COVID-19 outbreak in Korea. Ambient PM2.5, PM10, NO2, and CO that are particularly related to industrial activities and traffic were reduced during the social distancing in response to the COVID-19 outbreak. In March 2020, immediately after social distancing, mean levels of PM2.5, PM10, NO2, and CO decreased nationwide from last year's mean levels by 16.98 µg/m3, 21.61 µg/m3, 4.16 ppb, and 0.09 ppm, respectively (p-value for the year-to-year difference <0.001, =0.001, =0.008, <0.001), a decrease by 45.45%, 35.56%, 20.41%, and 17.33%, respectively. Changes in ambient O3 or SO2 were not observed to be attributable to social distancing. Our findings, that such effort for a short period of time resulted in a significant reduction in air pollution, may point toward reducing air pollution as a public health problem in a more sustainable post-COVID-19 world.


Subject(s)
Air Pollutants , Air Pollution , Coronavirus Infections , Pandemics , Pneumonia, Viral , Air Pollutants/adverse effects , Air Pollutants/analysis , Air Pollution/analysis , Betacoronavirus , COVID-19 , Environmental Monitoring , Humans , Particulate Matter/adverse effects , Particulate Matter/analysis , Republic of Korea/epidemiology , SARS-CoV-2
2.
J Korean Med Sci ; 35(25): e237, 2020 Jun 29.
Article in English | MEDLINE | ID: covidwho-619680

ABSTRACT

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic is an emerging threat worldwide. It remains unclear how comorbidities affect the risk of infection and severity of COVID-19. METHODS: This is a nationwide retrospective case-control study of 219,961 individuals, aged 18 years or older, whose medical costs for COVID-19 testing were claimed until May 15, 2020. COVID-19 diagnosis and infection severity were identified from reimbursement data using diagnosis codes and on the basis of respiratory support use, respectively. Odds ratios (ORs) were estimated using multiple logistic regression, after adjusting for age, sex, region, healthcare utilization, and insurance status. RESULTS: The COVID-19 group (7,341 of 219,961) was young and had a high proportion of female. Overall, 13.0% (954 of 7,341) of the cases were severe. The severe COVID-19 group had older patients and a proportion of male ratio than did the non-severe group. Diabetes (odds ratio range [ORR], 1.206-1.254), osteoporosis (ORR, 1.128-1.157), rheumatoid arthritis (ORR, 1.207-1.244), substance use (ORR, 1.321-1.381), and schizophrenia (ORR, 1.614-1.721) showed significant association with COVID-19. In terms of severity, diabetes (OR, 1.247; 95% confidential interval, 1.009-1.543), hypertension (ORR, 1.245-1.317), chronic lower respiratory disease (ORR, 1.216-1.233), chronic renal failure, and end-stage renal disease (ORR, 2.052-2.178) were associated with severe COVID-19. CONCLUSION: We identified several comorbidities associated with COVID-19. Health care workers should be more careful while diagnosing and treating COVID-19 when patients have the abovementioned comorbidities.


Subject(s)
Coronavirus Infections/epidemiology , Coronavirus Infections/pathology , Pneumonia, Viral/epidemiology , Pneumonia, Viral/pathology , Severity of Illness Index , Adolescent , Adult , Aged , Aged, 80 and over , Arthritis, Rheumatoid/epidemiology , Betacoronavirus , COVID-19 , COVID-19 Testing , Case-Control Studies , Clinical Laboratory Techniques , Comorbidity , Coronavirus Infections/diagnosis , Female , Humans , Hypertension/epidemiology , Kidney Failure, Chronic/epidemiology , Male , Middle Aged , Osteoporosis/epidemiology , Pandemics , Republic of Korea/epidemiology , Retrospective Studies , SARS-CoV-2 , Schizophrenia/epidemiology , Substance-Related Disorders/epidemiology , Young Adult
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