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nCOVIDTracker and Preventive measures

Taking Preventive Measures digitally so that people will tend to be more alert at the times of catastrophic conditions

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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).

Visual Dashboard (desktop):

Visual Dashboard (mobile):

Lancet Article:
An interactive web-based dashboard to track COVID-19 in real-time

Provided by Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE):

Data Sources:

  • World Health Organization (WHO):
  • Pneumonia. 2020.
  • BNO News:
  • National Health Commission of the People’s Republic of China (NHC):
  • China CDC (CCDC):
  • Hong Kong Department of Health:
  • Macau Government:
  • Taiwan CDC:
  • US CDC:
  • Government of Canada:
  • Australia Government Department of Health:
  • European Centre for Disease Prevention and Control (ECDC):
  • Ministry of Health Singapore (MOH):
  • Italy Ministry of Health:
  • 1Point3Arces:
  • WorldoMeters:

Additional Information about the Visual Dashboard:

Contact Us:

  • Email:

Terms of Use:

This GitHub repo and its contents herein, including all data, mapping, and analysis, copyright 2020 Johns Hopkins University, all rights reserved, is provided to the public strictly for educational and academic research purposes. The Website relies upon publicly available data from multiple sources, that do not always agree. The Johns Hopkins University hereby disclaims any and all representations and warranties with respect to the Website, including accuracy, fitness for use, and merchantability. Reliance on the Website for medical guidance or use of the Website in commerce is strictly prohibited.

Upload or share a link to this resource/message/source of information to share it with others.

The above link is a demo made by me and the team taking into account of various datasets from the universal data set of John Hopkins University

Did this resource motivate you to change your behaviors?

  • Yes

In what ways did you change your behaviors as a result of this resource?

The nCOVID Tracking website was quite well structured and reliable as a cost to this public dataset.

Did you share this information with your network?

  • Yes

In what ways did you share this information?

The screenshots of the website or webpage made as a prototype by me.

Where are you getting information around COVID-19?

  • Social Media
  • WHO (World Health Organization)
  • NGO or Non-profit Organization
  • github

What information do you feel you are missing about COVID-19?

Some of the additional proposed solutions :Providing a real-time chatbot (As the chatbot is already made for India - include the chatbot)A more precisely model from Machine Learning and using artificial intelligence to find out the generic disease Encouraging people to stay at home by providing some better animes and visuals through the application.

What populations or personas are not currently being addressed with today’s COVID-19 information?

Keeping neat and tidiness - Contacting health workers at most emergency the contact numbers flashing in the health application - and publishing the numbers state wise.

What is your current profession?


In what city are you located?

Bhubaneswar, Odisha, India

In what country are you located?


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