Records 1-30 (of 10223 Records) |
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A Semi-Supervised Learning Approach for COVID-19 Detection from Chest CT Scans. Zhang Yong, et al. Neurocomputing 2022 0 0. ![]() |
Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19. Mar-Cupido Ricardo, et al. Applied soft computing 2022 0 0. 109207 ![]() |
COVID-19 severity detection using machine learning techniques from CT-images. Aswathy A L, et al. Evolutionary intelligence 2022 0 0. 1-9 ![]() |
A novel model to predict severe COVID-19 and mortality using an artificial intelligence algorithm to interpret chest radiographs and clinical variables. Munera Nicolás, et al. ERJ open research 2022 0 0. (2) ![]() |
Analysis of mHealth research: mapping the relationship between mobile apps technology and healthcare during COVID-19 outbreak. El-Sherif Dina M, et al. Globalization and health 2022 0 0. (1) 67 ![]() |
Novel extreme regression-voting classifier to predict death risk in vaccinated people using VAERS data. Saad Eysha, et al. PloS one 2022 0 0. (6) e0270327 ![]() ![]() |
Disease spreading modeling and analysis: a survey. Hiram Guzzi Pietro, et al. Briefings in bioinformatics 2022 0 0. ![]() |
Non-Markovian SIR epidemic spreading model of COVID-19. Basnarkov Lasko, et al. Chaos, solitons, and fractals 2022 0 0. 112286 |
Forecasting COVID19 parameters using time-series: KSA, USA, Spain, and Brazil comparative case study. Larabi-Marie-Sainte Souad, et al. Heliyon 2022 0 0. (6) e09578 |
A novel grey model based on Susceptible Infected Recovered Model: A case study of COVD-19. Duan Huiming, et al. Physica A 2022 0 0. 127622 |
Application of piecewise fractional differential equation to COVID-19 infection dynamics. Li Xiao-Ping, et al. Results in physics 2022 0 0. 105685 |
GIS-based spatio-temporal analysis and modeling of COVID-19 incidence rates in Europe. Kianfar Nima, et al. Spatial and spatio-temporal epidemiology 2022 0 0. 100498 |
How Seasonality and Control Measures Jointly Determine the Multistage Waves of the COVID-19 Epidemic: A Modelling Study and Implications. Zheng Yangcheng, et al. International journal of environmental research and public health 2022 0 0. (11) |
A Model for Highly Fluctuating Spatio-Temporal Infection Data, with Applications to the COVID Epidemic. Congdon Peter, et al. International journal of environmental research and public health 2022 0 0. (11) ![]() |
An efficient nonstandard computer method to solve a compartmental epidemiological model for COVID-19 with vaccination and population migration. Herrera-Serrano Jorge E, et al. Computer methods and programs in biomedicine 2022 0 0. 106920 ![]() |
How better pandemic and epidemic intelligence will prepare the world for future threats. Morgan Oliver W et al. Nature medicine 2022 6 ![]()
A new approach to pandemic and epidemic intelligence is needed that includes modern approaches to surveillance and risk assessment, as well as improved trust and cooperation between stakeholders and society. Conducting effective pandemic and epidemic intelligence, however, is not straightforward. Gathering, managing, analyzing and interpreting disparate information from the health sector and beyond is complex, in part because of data fragmentation, difficulties with accessing sources on a continuous basis, licensing, ownership and security restrictions, privacy and re-identification risks, and the inherent complexity of working with a wide range of different data types and formats.
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Airborne SARS-CoV-2. Dancer Stephanie J et al. BMJ (Clinical research ed.) 2022 6 o1408 |
Long distance airborne transmission of SARS-CoV-2: rapid systematic review. Duval Daphne et al. BMJ (Clinical research ed.) 2022 6 e068743 ![]() ![]()
22 reports relating to 18 studies were identified (methodological quality was high in three, medium in five, and low in 10); all the studies were outbreak investigations. Long distance airborne transmission was likely to have occurred for some or all transmission events in 16 studies and was unclear in two studies (GRADE: very low certainty). In the 16 studies, one or more factors plausibly increased the likelihood of long distance airborne transmission, particularly insufficient air replacement (very low certainty), directional air flow (very low certainty), and activities associated with increased emission of aerosols, such as singing or speaking loudly (very low certainty).
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Airborne transmission of COVID-19 virus in enclosed spaces: An overview of research methods. Zhao Xingwang, et al. Indoor air 2022 0 0. (6) e13056 ![]() ![]() |
Machine learning for prediction of in-hospital mortality in coronavirus disease 2019 patients: results from an Italian multicenter study. Vezzoli Marika, et al. Journal of cardiovascular medicine (Hagerstown, Md.) 2022 0 0. (7) 439-446 ![]() ![]() |
Third wave of COVID-19: mathematical model with optimal control strategy for reducing the disease burden in Nigeria. Omede B I, et al. International journal of dynamics and control 2022 0 0. 1-17 ![]() ![]() ![]() |
A memory effect model to predict COVID-19: analysis and simulation. Ali Aatif, et al. Computer methods in biomechanics and biomedical engineering 2022 0 0. 1-17 ![]() ![]() |
Spatio-temporal spread of COVID-19: Comparison of the inhomogeneous SEPIR model and data from South Carolina. Tsori Yoav, et al. PloS one 2022 0 0. (6) e0268995 ![]() ![]() |
Modelling: Understanding pandemics and how to control them. Marion Glenn, et al. Epidemics 2022 0 0. 100588 ![]() ![]() |
Infectious Disease Modeling: Recommendations for Public Health Decision-Makers. Olesen Scott W, et al. Disaster medicine and public health preparedness 2022 0 0. 1-3 ![]() |
Modelling COVID-19 infection with seasonality in Zimbabwe. Ndlovu Meshach, et al. Physics and chemistry of the earth (2002) 2022 0 0. 103167 ![]() |
A Model for the Lifespan Loss Due to a Viral Disease: Example of the COVID-19 Outbreak. Oshinubi Kayode, et al. Infectious disease reports 2022 0 0. (3) 321-340 ![]() ![]() |
Early and Subsequent Epidemic Characteristics of COVID-19 and Their Impact on the Epidemic Size in Ethiopia. Amhare Abebe Feyissa, et al. Frontiers in public health 2022 0 0. 834592 ![]() |
Autonomous service for managing real time notification in detection of COVID-19 virus. Algani Yousef Methkal Abd, et al. Computers & electrical engineering : an international journal 2022 0 0. 108117 ![]() ![]() |
Dynamic survival analysis for non-Markovian epidemic models. Di Lauro Francesco, et al. Journal of the Royal Society, Interface 2022 0 0. (191) 20220124 ![]() |
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- Page last updated:Jul 01, 2022
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