COVID-19 and Air Pollution: A Spatial Analysis of Particulate Matter Concentration and Pandemic-Associated Mortality in the USArticle Published on 2022-01-052022-10-29 Journal: International Journal of Environmental Research an [Category] COVID-19, SARS, [키워드] Air pollution Analysis Antiviral treatment association cause China Clustering combating Concentration conducted confounding variable COVID-19 COVID-19 case COVID-19 mortality death Efficacy exacerbated exhibited Health individual Intervention Italy matter Mortality Novel coronavirus pandemic Particulate PM positive correlation reported Research Result SARS-CoV-2 similar study social determinant Spatial analysis the disease The United States Vaccine virus with COVID-19 Wuhan, China [DOI] 10.3390/ijerph19010592 PMC 바로가기 [Article Type] Article
Comparing machine learning algorithms for predicting COVID-19 mortalityResearch Published on 2022-01-042022-10-27 Journal: BMC Medical Informatics and Decision Making [Category] Coronavirus, COVID-19, SARS, [키워드] Accuracy Admission age alanine aminotransferase Algorithm artificial intelligence Ayatollah calculated can be used characteristic Clinicians Confusion coronavirus coronavirus disease COVID-19 COVID-19 mortality deaths demonstrated Dyspnea eligible patient Experimental result facilitate high risk hospitalized patient hospitalized patients ICU admission information interquartile Intervention Iran lowest machine machine learning machine learning algorithm men Metrics Mortality Oxygen therapy Platelet Precision predict Prediction hospital mortality Predictive predictive models predictor predictors random Result risk of death ROC sensitivity specificity study participant survivor the median the patient women [DOI] 10.1186/s12911-021-01742-0 PMC 바로가기 [Article Type] Research
Comparing machine learning algorithms for predicting COVID-19 mortalityResearch Published on 2022-01-042022-10-27 Journal: BMC Medical Informatics and Decision Making [Category] COVID-19, [키워드] Accuracy Admission age alanine aminotransferase Algorithm artificial intelligence Ayatollah calculated can be used characteristic Clinicians Confusion coronavirus coronavirus disease COVID-19 COVID-19 mortality deaths demonstrated Dyspnea eligible patient Experimental result facilitate high risk hospitalized patient hospitalized patients ICU admission information interquartile Intervention Iran lowest machine machine learning machine learning algorithm men Metrics Mortality Oxygen therapy Platelet Precision predict Prediction hospital mortality Predictive predictive models predictor predictors random Result risk of death ROC sensitivity specificity study participant survivor the median the patient women [DOI] 10.1186/s12911-021-01742-0 PMC 바로가기 [Article Type] Research
COVID-19 mortality across occupations and secondary risks for elderly individuals in the household: A population register-based studyOriginal Article Published on 2022-01-012022-10-29 Journal: Scandinavian Journal of Work, Environment & Health [Category] COVID-19, MERS, SARS, [키워드] adjusted administration Characteristics Corona virus country COVID-19 COVID-19 mortality COVID-19 risk group death demographic characteristics division driver Effect elderly elderly mortality risk elevated explained Factors group highest individual individuals inequality less Measures Mortality objective occupational exposure Older older population population study postal service recorded Registered Result risk risk factor risk of COVID-19 Socioeconomic factor statistically significant Variation work from home [DOI] 10.5271/sjweh.3992 PMC 바로가기 [Article Type] Original Article
COVID-19 hospital prevalence as a risk factor for mortality: an observational study of a multistate cohort of 62 hospitalsObservational Study Published on 2022-01-012022-10-05 Journal: BMJ Quality & Safety [Category] SARS, 임상, [키워드] 95% CI accounted adjusted Admission analysed AOR averaged Care Clinical risk factors Cohort COVID-19 COVID-19 mortality COVID-19 patient death declined evaluated health system hospital hospital medicine hospitalised increase in linear mixed model Mortality mortality (standardised mortality ratios). multivariable analysis pandemic Patient patients with COVID-19 Prevalence prevalence of COVID-19 Probability random effect remained risk factor SARS-COV-2 infection Support Volume with COVID-19 [DOI] 10.1136/bmjqs-2021-013721 PMC 바로가기 [Article Type] Observational Study
Long-term exposure to PM 10 above WHO guidelines exacerbates COVID-19 severity and mortalityObservational Study Published on 2022-01-012022-10-05 Journal: Environment international [Category] SARS, 바이오마커, 임상, [키워드] 95% CI age Asymptomatic calculated cause caused clinical variable Comorbidity Concentration conducted Course COVID-19 COVID-19 infection COVID-19 mortality COVID-19 severity dead death deaths diabetes Effect estimate exacerbate explain Health heterogeneity highest increased risk individual investigated Linear regression logistic regressions Mortality obesity Odds ratio outcome outcomes Patient PM10 PM10. predict predicted Predictive model Probability PROTECT retrospective SARS-COV-2 infection severe COVID-19 severe disease severe patients severity Sex WHO guideline WHO guidelines [DOI] 10.1016/j.envint.2021.106930 PMC 바로가기 [Article Type] Observational Study
Impact of asthma on COVID-19 mortality in the United States: Evidence based on a meta-analysis천식이 미국에서 COVID-19 사망률에 미치는 영향: 메타 분석을 기반으로 한 증거Review Published on 2022-01-012022-09-11 Journal: International immunopharmacology [Category] SARS, 치료기술, [키워드] 95% CI 95% confidence interval age Analysis association Asthma coronavirus disease Coronavirus disease 2019 COVID-19 COVID-19 mortality COVID-19 patient demonstrated Factor heterogeneity hospitalized patient hospitalized patients Impact indicated male Meta-analysis meta-regression Mortality Odds ratio Patient performed proportion Prospective Study publication bias Quantitative random-effects model reduced risk retrospective Retrospective study risk robustness Sample size sample sizes sensitivity analysis significantly statistically significant Study design Subgroup analyses subgroup analysis the United State The United States United States USA USA. was used [DOI] 10.1016/j.intimp.2021.108390 PMC 바로가기 [Article Type] Review
Country-level factors dynamics and ABO/Rh blood groups contribution to COVID-19 mortalityArticle Published on 2021-12-312022-10-04 Journal: Scientific Reports [Category] 변종, 유전자 메커니즘, [키워드] ABO/Rh approach association Blood Group categories Computational biology and bioinformatics confounding factors Containment measure COVID-19 mortality COVID-19 pandemic COVID-19 severity effective Factor feature First wave Frequency genetics health system Healthcare system hospital immunization immunology investigated MOST Numerous obesity outcome pandemic predict reported Risk factors Stage variables [DOI] 10.1038/s41598-021-04162-2 PMC 바로가기 [Article Type] Article
Mental Health Problems among COVID-19 Frontline Healthcare Workers and the Other Country-Level Epidemics: The Case of MexicoArticle Published on 2021-12-312022-10-30 Journal: International Journal of Environmental Research an [Category] COVID-19, SARS, [키워드] affected conducted contributing to country COVID-19 COVID-19 complication COVID-19 infection COVID-19 mortality cross-sectional survey decrease Depression Epidemics Frequency frontline healthcare worker Health Healthcare workers initial Insomnia likelihood measure Mental Disorders mental health mental health problem obesity Other physical Posttraumatic Stress predictor Probability problem Regression model Symptom Symptoms with COVID-19 worker [DOI] 10.3390/ijerph19010421 PMC 바로가기 [Article Type] Article
Regional Differences in COVID-19 Mortality Rates in the Kingdom of Saudi Arabia: A Simulation of the New Model of CarePublic Health Published on 2021-12-292022-10-31 Journal: Cureus [Category] COVID-19, [키워드] adjusted odds ratio Admission age analysed Analysis Characteristics Chronic diseases conducted Course COVID-19 COVID-19 mortality COVID-19-related complications cross-sectional death demographics difference discharge disease environmental health FIVE Health healthcare Healthcare policy Healthcare system hospital hospitals Inpatient Kingdom Mild Ministry of Health Model Mortality multivariate logistic regression New other variables outcome Patient predictor Primary outcome Rate Region Regional regional differences resource Result Saudi Arabia severe COVID-19 significantly higher significantly lower Simulation suggested variable was used with COVID-19 [DOI] 10.7759/cureus.20797 PMC 바로가기 [Article Type] Public Health