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COVID-10 GPH

COVID-19 GPH|Home|PHGKB

Last data update: Nov 29, 2023 . (Total: 46600 Documents since 2020)
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Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers.
Tulu Thomas Wetere, et al. BMC digital health 2023 0 0. (1) 6
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Application of machine learning models to identify serological predictors of COVID-19 severity and outcomes.
Klein Sabra, et al. Research square 2023 0 0.
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Application of Machine Learning Prediction of Individual SARS-CoV-2 Vaccination and Infection Status to the French Serosurveillance Survey From March 2020 to 2022: Cross-Sectional Study.
Bougeard Stéphanie, et al. JMIR public health and surveillance 2023 0 0. e46898
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Optimizing campus-wide COVID-19 test notifications with interpretable wastewater time-series features using machine learning models.
Lin Tuo, et al. Scientific reports 2023 0 0. (1) 20670
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The application of next generation matrix in the calculation of basic reproduction number for COVID-19.
Kalluci E, et al. La Clinica terapeutica 2023 0 0. (Suppl 2(6)) 263-278
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Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty.
Howerton Emily, et al. Nature communications 2023 0 0. (1) 7260
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The variations of SIkJalpha model for COVID-19 forecasting and scenario projections.
Srivastava Ajitesh, et al. Epidemics 2023 0 0. 100729
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Network-based uncertainty quantification for mathematical models in epidemiology.
Rahnsch Beatrix, et al. Journal of theoretical biology 2023 0 0. 111671
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Modeling long COVID dynamics: Impact of underlying health conditions.
Bai Jie, et al. Journal of theoretical biology 2023 0 0. 111669
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Estimating the number of probable new SARS-CoV-2 infections among tested subjects from the number of confirmed cases.
Diarra Y M, et al. BMC medical research methodology 2023 0 0. (1) 272
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Assessing the utility of COVID-19 case reports as a leading indicator for hospitalization forecasting in the United States.
Reich Nicholas G, et al. Epidemics 2023 0 0. 100728
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Quantitative SARS-CoV-2 exposure assessment for workers in wastewater treatment plants using Monte-Carlo simulation.
Yan Cheng, et al. Water research 2023 0 0. 120845
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Visual transformer and deep CNN prediction of high-risk COVID-19 infected patients using fusion of CT images and clinical data.
Tehrani Sara Saberi Moghadam, et al. BMC medical informatics and decision making 2023 0 0. (1) 265
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Using neural networks and remote sensing for spatio-temporal prediction of air pollution during the COVID-19 pandemic.
Mokarram Marzieh, et al. Environmental science and pollution research international 2023 0 0.
Use of a digital contact tracing system in Singapore to mitigate COVID-19 spread.
Chow Bryan W K, et al. BMC public health 2023 0 0. (1) 2253
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Deep learning framework for epidemiological forecasting: A study on COVID-19 cases and deaths in the Amazon state of Pará, Brazil.
Souza Gilberto Nerino de, et al. PloS one 2023 0 0. (11) e0291138
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Determination of Novel SARS-CoV-2 Inhibitors by Combination of Machine Learning and Molecular Modeling Methods.
Güner Ersin, et al. Medicinal chemistry (Shariqah (United Arab Emirates)) 2023 0 0.
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Applications of time series analysis in epidemiology: Literature review and our experience during COVID-19 pandemic.
Tomov Latchezar, et al. World journal of clinical cases 2023 0 0. (29) 6974-6983
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Estimation of waning vaccine effectiveness from population-level surveillance data in multi-variant epidemics.
Murayama Hiroaki, et al. Epidemics 2023 0 0. 100726
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Effective population size in simple infectious disease models.
Yerlanov Madi, et al. Journal of mathematical biology 2023 0 0. (6) 80
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Developing a Deep Neural Network model for COVID-19 diagnosis based on CT scan images.
Joloudari Javad Hassannataj, et al. Mathematical biosciences and engineering : MBE 2023 0 0. (9) 16236-16258
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UNet segmentation network of COVID-19 CT images with multi-scale attention.
Chen Mingju, et al. Mathematical biosciences and engineering : MBE 2023 0 0. (9) 16762-16785
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Neural-SEIR: A flexible data-driven framework for precise prediction of epidemic disease.
Wang Haoyu, et al. Mathematical biosciences and engineering : MBE 2023 0 0. (9) 16807-16823
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Can artificial intelligence predict COVID-19 mortality?
Genc A C, et al. European review for medical and pharmacological sciences 2023 0 0. (20) 9866-9871
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MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis.
Hardy-Werbin Max, et al. Scientific reports 2023 0 0. (1) 18761
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COVID-19 studies involving machine learning methods: A bibliometric study.
Baygül Eden Arzu, et al. Medicine 2023 0 0. (43) e35564
Forecasting the effects of vaccination on the COVID-19 pandemic in Malaysia using SEIRV compartmental models.
Lim Mei Cheng, et al. Epidemiology and health 2023 0 0. e2023093
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Machine learning algorithms for predicting determinants of COVID-19 mortality in South Africa.
Chimbunde Emmanuel, et al. Frontiers in artificial intelligence 2023 0 0. 1171256
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Investigation of factors associated with mental health during the early part of the COVID-19 pandemic in South Korea based on machine learning algorithms: A cohort study.
Choi Junggu, et al. Digital health 2023 0 0. 20552076231207573
Inference of transmission dynamics and retrospective forecast of invasive meningococcal disease.
Cascante-Vega Jaime, et al. PLoS computational biology 2023 0 0. (10) e1011564
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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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