Author Topic: A Collection of python based project for Cov-19 monitoring and prediction  (Read 81 times)

Aminos

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Hi Guys,

For everyone who is interested in building a python based model, I collected some useful link that could give useful.
Get inspired from previous work!

Feel free to update this collection.
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#2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE

This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).

The data from Data Repository by Johns Hopkins CSSE are illustrated as:
*Visual Dashboard (desktop)
*Visual Dashboard (mobile)

And here is a paper a related to interactive web-based dashboard to track COVID-19 in real time:
Link: https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(20)30120-1/fulltext


Link: https://github.com/CSSEGISandData/COVID-19

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#Updated list of Covid-19 dataset and other Research Resources
Link: https://www.researchgate.net/post/updated_list_of_Covid-19_dataset_and_other_Research_Resources

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#Py:Coronavirus disease 2019 (COVID-19) time series listing confirmed cases, reported deaths and reported recoveries

This dataset includes time series data tracking the number of people affected by COVID-19 worldwide, including:

   * confirmed tested cases of Coronavirus infection
    *the number of people who have reportedly died while sick with Coronavirus
    *the number of people who have reportedly recovered from it

Link: https://github.com/datasets/covid-19

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#Py:Coronavirus Tracker API.

Provides up-to-date data about Coronavirus outbreak. Includes numbers about confirmed cases, deaths and recovered.


Link: https://github.com/ExpDev07/coronavirus-tracker-api

Currently 2 different data-sources are available to retrieve the data:

    jhu - https://github.com/CSSEGISandData/COVID-19 - Worldwide Data repository operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE).

    csbs - https://www.csbs.org/information-covid-19-coronavirus - U.S. County data that comes from the Conference of State Bank Supervisors.

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#Py:Awesome Coronavirus

A Large collection of different OpenSouce projects including API, Statistics and Datasets, Applications, etc ...

Link:https://github.com/soroushchehresa/awesome-coronavirus

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#Py:covid19_scenarios

This tool is based on an SIR model.
The primary purpose of the tool is to explore the dynamics of COVID19 cases and the associated strain on the health care system in the near future.
Parameters of model fall into three different categories:
    *population parameters
    *epidemiological parameters
    *clinical parameters

Dataset: https://github.com/neherlab/covid19_scenarios_data

Link: https://github.com/neherlab/covid19_scenarios

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Ay

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Hey Amine,

Not my field, so kind of in the dark here.
But does this help: https://kidzik.shinyapps.io/corona-simulator/ ?