covid-19

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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BIMCV-COVID19- dataset is a large dataset with chest X-ray images CXR (CR, DX) and computed tomography (CT) imaging of no 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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752 Views

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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This data resource is an outcome of the NSF RAPID project titled "Democratizing Genome Sequence Analysis for COVID-19 Using CloudLab" awarded to University of Missouri-Columbia.

The resource contains the output of variant analysis (along with CADD scores) on human genome sequences obtained from the COVID-19 Data Portal. The variants include single nucleotide polymorphisms (SNPs) and short insert and deletes (indels).

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The dataset contains the data on ICU-transferred (N=100) and Stable (N=131) patients with COVID-19 (N=156) and Non-COVID-19 viral pneumonia (N=75). Among COVID-19 patients of this study, 82 patients developed Refractory Respiratory Failure (RRF) or Severe Acute Respiratory Distress Syndrome (SARDS) and were transferred to Intensive Care Unit (ICU), 74 patients had a Stable course of disease and were not transferred to ICU. Collected data are presented as a table with columns:
- Gender;
- Age (years);
- SARS-CoV-2 RT-PCR testing results;

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Leaderboard (numbers are kW MAE):

Teams with more than 5 missing submissions are eliminated from the leaderboard.

 

Last Updated On: 
Wed, 11/17/2021 - 21:02

The dataset links to the survey performed on students and professors of Biological Engineering introductory course, as the Department of Biological Engineering, University of the Republic, Uruguay.

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