Forecasting COVID-19 Hospital Census: A Multivariate Time-Series Model Based on Local Infection IncidenceOriginal Paper Published on 2021-08-042022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, MERS, [키워드] ARIMA Atrium average COVID-19 COVID-19 infection diagnostics effective equipment Evidence exhibited Forecasting Frame greater Health Health care system hospital hospital census hospital resource utilization incidence Infection infection incidence intensive care units Local median Model multivariate North objective pandemic Patient performed predict resource Result second wave significance level time-series model trajectory utility vector error correction model Volume was measured was used [DOI] 10.2196/28195 PMC 바로가기 [Article Type] Original Paper
Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in ItalyOriginal Paper Published on 2021-08-042022-10-31 Journal: The European Journal of Health Economics [Category] COVID-19, MERS, [키워드] analyzed ARIMA average C22 C53 Combination component coronavirus disease COVID-19 COVID-19 hospitalization deaths expected facilitate feasible Hospitalization Hybrid forecasting models I18 ICU intensive care intensive care unit Italian Italy linear Mild symptom Ministry of Health NNAR outbreak pandemic Patient patients hospitalized predict public health second wave significantly spread of COVID-19 TBATS trigonometric virus website Wuhan, China [DOI] 10.1007/s10198-021-01347-4 PMC 바로가기 [Article Type] Original Paper
Improving prediction of COVID-19 evolution by fusing epidemiological and mobility dataArticle Published on 2021-07-262022-10-29 Journal: Scientific Reports [Category] COVID-19, [키워드] activities activity Applied mathematics ARIMA changes changes in Computational science Computer science Consensus consequence COVID-19 COVID-19 pandemic criterion epidemiological evaluate evaluated Evolution fusing Google health system human behavior Immunity Improving include infections MAE measure mechanism medium multivariate model pandemic predict provided R 2 reduced reducing Scientific data social distancing Spain statistically Statistics Support Vaccines [DOI] 10.1038/s41598-021-94696-2 PMC 바로가기 [Article Type] Article
The Global Interest in Vaccines and Its Prediction and Perspectives in the Era of COVID-19. Real-Time Surveillance Using Google Trends코로나19 시대 백신에 대한 세계적 관심과 예측과 전망. Google 트렌드를 사용한 실시간 감시Article Published on 2021-07-242022-09-10 Journal: International Journal of Environmental Research an [Category] SARS, 치료기술, [키워드] Analysis analyzed ARIMA BCG bcg vaccine best component conducted Correlation analysis Course COVID-19 COVID-19 pandemic COVID-19 vaccine decrease detectable FIVE flu flu vaccine Forecasting Frame Google Google Trends growth HPV HPV vaccine include interest life Linear model Multiple pandemic pneumococcal pneumococcal disease pneumococcal vaccine polio Polio vaccine prediction provided Smoothing Space state Time frame trend vaccination programs Vaccine Vaccines was performed [DOI] 10.3390/ijerph18157841 PMC 바로가기 [Article Type] Article
The effect of the March 2020 COVID‐19 lockdown on national psychiatric contacts in Denmark: An interrupted time series analysisOriginal Research Published on 2021-07-022022-10-28 Journal: Brain and Behavior [Category] COVID-19, MERS, SARS, [키워드] affected Analysis Anxiety applied approach ARIMA average Care Contact COVID‐19 COVID‐19 decrease Denmark Depression determine diagnosed Diagnosis Disruption Epidemics examined FIVE Health healthcare Healthcare system Healthcare systems hospital illness impacted include increase in Interaction Interrupted time series analysis lockdown mental health National pandemic Patient patient groups Population register presenting symptom professional‐patient relations Psychiatric psychiatry recorded Region replaced resource Result significantly stratified Treatment [DOI] 10.1002/brb3.2264 PMC 바로가기 [Article Type] Original Research
COVID-19 prevalence forecasting using Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANN): Case of TurkeyARIMA(Autoregressive Integrated Moving Average) 및 ANN(인공 신경망)을 사용한 COVID-19 유병률 예측: 터키 사례Article Published on 2021-07-012022-09-11 Journal: Journal of infection and public health [Category] SARS, 치료기술, [키워드] acute respiratory syndrome acute respiratory syndrome coronavirus acute respiratory syndrome coronavirus 2 ANN ARIMA artificial caused China coronavirus correlation coefficient country COVID-19 death deaths estimation Forecasting health system health systems infected cases load Local moving average MSE negatively affected network Neural occur outbreak pandemic Pneumonia predict predicted Prevalence severe acute respiratory syndrome Coronavirus Spread Turkey Wuhan [DOI] 10.1016/j.jiph.2021.04.015 PMC 바로가기 [Article Type] Article
Machine learning techniques to detect and forecast the daily total COVID-19 infected and deaths cases under different lockdown types다양한 잠금 유형에서 일일 총 COVID-19 감염 및 사망 사례를 감지하고 예측하는 기계 학습 기술Article Published on 2021-07-012022-09-11 Journal: Microscopy research and technique [Category] SARS, 치료기술, [키워드] Accuracy adopted ARIMA Complete country COVID-19 criteria cumulative data set data sets death deaths detect Effectiveness error evaluated Forecasting healthcare hospitals impacted infected case infected cases intensity lockdown lockdowns lung lungs infection machine machine learning models mitigate pandemic predict public health random reduce social isolation Spread SVM the SARS-CoV-2 Time series were used [DOI] 10.1002/jemt.23702 PMC 바로가기 [Article Type] Article
Bacteraemia variation during the COVID-19 pandemic; a multi-centre UK secondary care ecological analysisResearch Article Published on 2021-06-112022-10-28 Journal: BMC Infectious Diseases [Category] COVID-19, MERS, [키워드] Analysis ARIMA Blood blood culture Blood stream infection BSI causes Coagulase consequence Contamination coronavirus COVID-19 Culture ecological Evidence expected First wave FIVE hospital hospitals indicate Intervention investigated London Microbiology multicentre National occurred Personal protective equipment public health messaging Result retrospective SARS-CoV-2 secondary care Self-isolation significantly Staphylococcus aureus Streptococcus pneumoniae study period supplementary material Variation were used [DOI] 10.1186/s12879-021-06159-8 PMC 바로가기 [Article Type] Research Article
Evaluating data-driven methods for short-term forecasts of cumulative SARS-CoV2 casesResearch Article Published on 2021-05-212022-10-28 Journal: PLoS ONE [Category] COVID-19, [키워드] Accuracy ARIMA average country COVID-19 case cumulative data-driven error evaluate Evaluating finding generate global pandemic Guidance heat map help increase in International less MAE outbreak pandemic percentage public health emergency random risk SARS-CoV2 spread to the epidemic WHO [DOI] 10.1371/journal.pone.0252147 PMC 바로가기 [Article Type] Research Article
A COVID-19 Pandemic Artificial Intelligence–Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation StudyOriginal Paper Published on 2021-05-202022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] Accuracy ARIMA artificial artificial intelligence Automatic average Canada caused center changes in confirmed COVID-19 case continuous measure Control country COVID-19 COVID-19 epidemic COVID-19 pandemic Data visualization database death deep deep learning demonstrated develop development Engineering Epidemic evaluate facilitate Forecasting globe heat map include information Johns Hopkins University learning Local machine learning MAE mean absolute error measure Measures memory objective offer outbreak Oxford pandemic Predictive reached response Result School Science South Korea statistical statistical analysis Support System the disease the United State Time series University of Oxford vaccination variations website were used World Health Organization [DOI] 10.2196/27806 PMC 바로가기 [Article Type] Original Paper