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Last data update: Apr 12, 2021 . (Total: 21967 Documents since 2020)

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Remote Patient Monitoring — Overdue or Overused? K Mecklai et al, NEJM, April 10, 2021 The Covid-19 pandemic has challenged clinicians to find innovative ways to provide essential services while minimizing risks for themselves and their patients. These approaches increasingly leverage remote patient monitoring (RPM), using technology to support treatment for chronic conditions. As the use of RPM services grows, clinicians, payers, and patients face important questions regarding the volume, value, and appropriate use of this care model.
How could a COVID vaccine cause blood clots? Scientists race to investigate Nature News, April 9, 2021
Get Protected! Recommendations for Staff in IR. Bartal Gabriel, et al. Cardiovascular and interventional radiology 2021 4 0.
Primary Care implementation of Germ Defence, a digital behaviour change intervention to improve household infection control during the COVID-19 pandemic: A structured summary of a study protocol for a randomised controlled trial. Horwood Jeremy, et al. Trials 2021 4 0. (1) 263
Transmission analysis of COVID-19 with discrete time imported cases: Tianjin and Chongqing as cases. Li Ming-Tao, et al. Infectious Disease Modelling 2021 0 0. 618-631
A study on fractional COVID-19 disease model by using Hermite wavelets. Kumar Sunil, et al. Mathematical methods in the applied sciences 2021 2 0.
Fractional order mathematical modeling of novel corona virus (COVID-19). Ahmad Wasim, et al. Mathematical methods in the applied sciences 2021 2 0.
Assessing required SARS-CoV-2 blanket testing rates for possible control of the outbreak in the epicentre Lusaka province of Zambia with consideration for asymptomatic individuals: A simple mathematical modelling study. Sichone Joseph, et al. PloS one 2021 0 0. (4) e0249479
A case study of Covid-19 epidemic in India via new generalised Caputo type fractional derivatives. Kumar Pushpendra, et al. Mathematical methods in the applied sciences 2021 2 0.
Comparison of Estimated Effectiveness of Case-Based and Population-Based Interventions on COVID-19 Containment in Taiwan. Ng Ta-Chou, et al. JAMA internal medicine 2021 4 0.
A dynamic model for the COVID-19 with direct and indirect transmission pathways. Memarbashi Reza, et al. Mathematical methods in the applied sciences 2021 2 0.
Development of COVIDVax Model to Estimate the Risk of SARS-CoV-2-Related Death Among 7.6 Million US Veterans for Use in Vaccination Prioritization. Ioannou George N, et al. JAMA network open 2021 4 0. (4) e214347
Toward the Impact of Non-pharmaceutical Interventions and Vaccination on the COVID-19 Pandemic With Time-Dependent SEIR Model. Li Yuexin, et al. Frontiers in artificial intelligence 2021 0 0. 648579
Analysis, modeling and optimal control of COVID-19 outbreak with three forms of infection in Democratic Republic of the Congo. Ndondo A M, et al. Results in physics 2021 5 0. 104096
Gradient-Based Grey Wolf Optimizer with Gaussian Walk: Application in Modelling and Prediction of the COVID-19 Pandemic. Khalilpourazari Soheyl, et al. Expert systems with applications 2021 3 0. 114920
A Mathematical Model of COVID-19 Pandemic: A Case Study of Bangkok, Thailand. Riyapan Pakwan, et al. Computational and mathematical methods in medicine 2021 0 0. 6664483
Uncertainty quantification of a mathematical model of COVID-19 transmission dynamics with mass vaccination strategy. Olivares Alberto, et al. Chaos, solitons, and fractals 2021 5 0. 110895
Analysis of a nonstandard computer method to simulate a nonlinear stochastic epidemiological model of coronavirus-like diseases. Macías-Díaz J E, et al. Computer methods and programs in biomedicine 2021 3 0. 106054
Prioritising COVID-19 vaccination in changing social and epidemiological landscapes: a mathematical modelling study. Jentsch Peter C, et al. The Lancet. Infectious diseases 2021 3 0.
SEAHIR: A Specialized Compartmental Model for COVID-19. Leontitsis Alexandros, et al. International journal of environmental research and public health 2021 0 0. (5)
Forecasting COVID-19 Confirmed Cases Using Empirical Data Analysis in Korea. Lee Da Hye, et al. Healthcare (Basel, Switzerland) 2021 3 0. (3)
Modelling the early phase of the Belgian COVID-19 epidemic using a stochastic compartmental model and studying its implied future trajectories. Abrams Steven, et al. Epidemics 2021 3 0. 100449
Predictive analysis of COVID-19 eradication with vaccination in India, Brazil, and U.S.A. Chaturvedi Deepa, et al. Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases 2021 3 0. 104834
Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus. Agapiou Sergios, et al. Scientific reports 2021 0 0. (1) 7342
Estimating the global reduction in transmission and rise in detection capacity of the novel coronavirus SARS-CoV-2 in early 2020. Belloir Antoine, et al. Epidemics 2021 2 0. 100445
Machine learning is the key to diagnose COVID-19: a proof-of-concept study. Gangloff Cedric, et al. Scientific reports 2021 0 0. (1) 7166
Assessing the COVID-19 Impact on Air Quality: A Machine Learning Approach. Rybarczyk Yves, et al. Geophysical research letters 2021 2 0. (4) e2020GL091202
COVID-19 and digital competencies among young physicians: are we (really) ready for the new era? A national survey of the Italian Young Medical Doctors Association. Casà Calogero, et al. Annali dell'Istituto superiore di sanita 0 0 0. (1) 1-6
Quantitative Analysis and Automated Lung Ultrasound Scoring for Evaluating COVID-19 Pneumonia with Neural Networks. Chen Jiangang, et al. IEEE transactions on ultrasonics, ferroelectrics, and frequency control 2021 4 0.
Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques. Ho Indy Man Kit, et al. PloS one 2021 0 0. (4) e0249423

Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.

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