covid-19

To explore the influencing factors of college students' learning intention to online teaching videos during the pandemic, this study utilizes empirical research from four aspects including performance expectancy, effort expectancy, social influence, and facilitating conditions.
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BIMCV-COVID19+ dataset is a large dataset with chest X-ray images CXR (CR, DX) and computed tomography (CT) imaging of COVID-19 patients along with their radiographic findings, pathologies, polymerase chain reaction (PCR), immunoglobulin G (IgG) and immunoglobulin M (IgM) diagnostic antibody tests and radiographic reports from Medical Imaging Databank in Valencian Region Medical Image Bank (BIMCV).
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Supplementary material for the article "A Sensor Network Utilizing Consumer Wearables for Telerehabilitation of Post-acute COVID-19 Patients": (1) TERESA (TEleREhabilitation Self-training Assistant) back-end application API documentation and (2) anonymous details of the Wristband protocols used in the study.
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Este conjunto de datos es el resultado de un instrumento de medición aplicado para el desarrollo del proyecto "Aplicación de técnicas de minería de datos para la caracterización de estudiantes bajo el efecto de la pandemia de COVID-19".
En dicho instrumento se recolectaron datos sobre de variables sociodemográficas, económicas, condiciones técnicas referentes a la educación a distancia, salud emocional, así como académicas de estudiantes de un programa educativo de la Universidad Autónoma del Estado de Hidalgo.
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COVID-19 tracing data are utilized to form two dataset networks, one is based on the virus transition between the world countries, as the dataset consists of 36 countries and 75 relationships between them. Whereas the other dataset is an attributed network based on the virus transition among the contact tracing in the Kingdom of Bahrain. This type of networks that is concerned in tracking a disease or virus was not formed based on COVID-19 virus transmission.
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People turn to search engines and social media to seek information during
population-level events, such as during civil unrest, disease outbreaks, fires, or flood.
They also tend to participate in discussions and disseminate information and opinions
via social media forums, and smartphone messaging applications. COVID-19 pandemic
was not any different. However, the proper medical awareness and correct information
dissemination is critical during a pandemic. An unprecedented amount of internet traffic
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A dataset contains a total of 578,375 COVID-19 confirmed cases reported in Thailand that were being recorded between 22 January 2021 to 30 July 2021.
Daily reports of the COVID-19 situation in Thailand can be download from https://data.go.th/en/dataset/covid-19-daily.
Resource ID: 87abdf57-7edd-4864-9766-7bb0e87272f9
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