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COVID-10 GPH

COVID-19 GPH|Home|PHGKB

Last data update: Nov 30, 2021 . (Total: 28298 Documents since 2020)
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Real-time alerting system for COVID-19 and other stress events using wearable data
A Alavi et al, Nature Medicine, November 21, 2021
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In a cohort of 3,318 participants, of whom 84 were infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), this system generated alerts for pre-symptomatic and asymptomatic SARS-CoV-2 infection in 67 (80%) of the infected individuals. Pre-symptomatic signals were observed at a median of 3 days before symptom onset.
Development and evaluation of a machine learning-based in-hospital COvid-19 Disease Outcome Predictor (CODOP): a multicontinental retrospective study
R Klen et al, MEDRXIV, November 29, 2021
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Use of Artificial Intelligence on spatio-temporal data to generate insights during COVID-19 pandemic: A Review
JC Jayatilaka et al, MEDRXIV, November 29, 2021
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Artificial intelligence for imaging-based COVID-19 detection: Systematic review comparing added value of AI versus human readers.
Kriza Christine, et al. European journal of radiology 2021 0 0. 110028
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New insights on novel coronavirus 2019-nCoV/SARS-CoV-2 modelling in the aspect of fractional derivatives and fixed points.
Panda Sumati Kumari, et al. Mathematical biosciences and engineering : MBE 2021 0 0. (6) 8683-8726
Impact of insufficient detection in COVID-19 outbreaks.
Deng Yue, et al. Mathematical biosciences and engineering : MBE 2021 0 0. (6) 9727-9742
Assessing the impact of vaccination in a COVID-19 compartmental model.
Esteban Ernesto P, et al. Informatics in medicine unlocked 2021 0 0. 100795
A mathematical model for human-to-human transmission of COVID-19: a case study for Turkey's data.
Cengizci Süleyman, et al. Mathematical biosciences and engineering : MBE 2021 0 0. (6) 9787-9805
[Fitting and predicting trend of COVID-19 by SVEPIUHDR dynamic model].
Chen J L, et al. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi 2021 0 0. (8) 1341-1346
Analysis of a COVID-19 compartmental model: a mathematical and computational approach.
Abreu Zita, et al. Mathematical biosciences and engineering : MBE 2021 0 0. (6) 7979-7998
[A comparative study of time series models in predicting COVID-19 cases].
Li Z Q, et al. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi 2021 0 0. (3) 421-426
A stochastic metapopulation state-space approach to modeling and estimating COVID-19 spread.
Tan Yukun, et al. Mathematical biosciences and engineering : MBE 2021 0 0. (6) 7685-7710
Modelling lockdown measures in epidemic outbreaks using selective socio-economic containment with uncertainty.
Albi Giacomo, et al. Mathematical biosciences and engineering : MBE 2021 0 0. (6) 7161-7190
Short-Term Statistical Forecasts of COVID-19 Infections in India.
Singh Ram Kumar, et al. IEEE access : practical innovations, open solutions 2021 0 0. 186932-186938
Development of a Multi-Dimensional Parametric Model With Non-Pharmacological Policies for Predicting the COVID-19 Pandemic Casualties.
Tutsoy Onder, et al. IEEE access : practical innovations, open solutions 2021 0 0. 225272-225283
Network dynamic model of epidemic transmission introducing a heterogeneous control factor.
Sheng Huaxiong, et al. Journal of medical virology 2021 0 0. (12) 6496-6505
DW-UNet: Loss Balance under Local-Patch for 3D Infection Segmentation from COVID-19 CT Images.
Chen Cheng, et al. Diagnostics (Basel, Switzerland) 2021 0 0. (11)
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Can Deep Learning-Based Volumetric Analysis Predict Oxygen Demand Increase in Patients with COVID-19 Pneumonia?
Takahashi Marie, et al. Medicina (Kaunas, Lithuania) 2021 0 0. (11)
Boosting COVID-19 Image Classification Using MobileNetV3 and Aquila Optimizer Algorithm.
Abd Elaziz Mohamed, et al. Entropy (Basel, Switzerland) 2021 0 0. (11)
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COVID-19 Pneumonia Detection Using Optimized Deep Learning Techniques.
Bashar Abul, et al. Diagnostics (Basel, Switzerland) 2021 0 0. (11)
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Ensemble Machine Learning Model to Predict SARS-CoV-2 T-Cell Epitopes as Potential Vaccine Targets.
Bukhari Syed Nisar Hussain, et al. Diagnostics (Basel, Switzerland) 2021 0 0. (11)
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Quantitative Analysis of Residual COVID-19 Lung CT Features: Consistency among Two Commercial Software.
Granata Vincenza, et al. Journal of personalized medicine 2021 0 0. (11)
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Myocarditis and Pericarditis following COVID-19 Vaccination: Inequalities in Age and Vaccine Types.
Li Minghui, et al. Journal of personalized medicine 2021 0 0. (11)
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Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography.
Suri Jasjit S, et al. Diagnostics (Basel, Switzerland) 2021 0 0. (11)
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Digital Health Platforms in Saudi Arabia: Determinants from the COVID-19 Pandemic Experience.
Alghamdi Saeed M, et al. Healthcare (Basel, Switzerland) 2021 0 0. (11)
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COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images.
Akter Shamima, et al. Biology 2021 0 0. (11)
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Modeling Effects of Spatial Heterogeneities and Layered Exposure Interventions on the Spread of COVID-19 across New Jersey.
Ren Xiang, et al. International journal of environmental research and public health 2021 0 0. (22)
Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme.
Kandasamy Venkatachalam, et al. Sensors (Basel, Switzerland) 2021 0 0. (22)
A Predictive Model for Severe COVID-19 in the Medicare Population: A Tool for Prioritizing Primary and Booster COVID-19 Vaccination.
Experton Bettina, et al. Biology 2021 0 0. (11)
Medical image processing and COVID-19: A literature review and bibliometric analysis.
Abumalloh Rabab Ali, et al. Journal of infection and public health 2021 0 0.
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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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