=Paper=
{{Paper
|id=Vol-2619/invited1
|storemode=property
|title=CoronaTracker: A Framework for Managing and Tracking Data during Crisis - Abstract
|pdfUrl=https://ceur-ws.org/Vol-2619/keynote1.pdf
|volume=Vol-2619
|authors=Cher Han Lau
|dblpUrl=https://dblp.org/rec/conf/ecir/Lau20
}}
==CoronaTracker: A Framework for Managing and Tracking Data during Crisis - Abstract==
<pdf width="1500px">https://ceur-ws.org/Vol-2619/keynote1.pdf</pdf>
<pre>
CoronaTracker: A framework for managing and tracking data during
crisis



by Dr. Cher Han Lau

Abstract: COVID-19 outbreak, first reported in Wuhan, China and has since spreaded to more
than 50 countries. Naturally, a fast spreading infectious disease endangers the health of large
numbers of people, and thus requires immediate actions to prevent the disease at the community
level. Therefore, CoronaTracker was born as the online platform that provides latest and reliable
news development, as well as statistics and analysis on COVID-19. This presentation will look at
CoronaTracker as an implementation of a framework that aims collect data, to predict and forecast
COVID- 19 cases, deaths, and recoveries through predictive modelling. Such framework will help us
in early disease prevention in future, helps to interpret patterns of public sentiment on disseminating
related health information, and assess political and economic influence of any crisis.

Biography: Dr. Lau, Founder of LEAD and CoronaTracker. He is a chief data scientist, keynote
speaker and consultant in data science, machine learning and big data. His work involves major
companies, organizations, and government agencies across Australia, Malaysia, Taiwan and other
ASEAN countries. He has trained and advised many of the organizations including Standard
Chartered, OCBC, Intel, HP Enterprise and Jabil. Dr. Lau has also been invited as a keynote
speaker in many of the industry data science and big data events, such as Microsoft Azure Global
Bootcamp, and Facebook Developers Circles.




Copyright ©  2020 for this paper by its authors.
Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

</pre>