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

@article{Dong2020AnIW,
  title={An interactive web-based dashboard to track COVID-19 in real time},
  author={Ensheng Dong and Hongru Du and Lauren Gardner},
  journal={The Lancet. Infectious Diseases},
  year={2020},
  volume={20},
  pages={533 - 534}
}
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References

SHOWING 1-4 OF 4 REFERENCES
Data sharing: Make outbreak research open access
TLDR
Last April, five months into the largest Ebola outbreak in history, an inter national group of researchers sequenced three viral genomes, sampled from patients in Guinea, and was amazed by the surge of collaboration that followed.
How decision makers can use quantitative approaches to guide outbreak responses
  • O. Morgan
  • Business
    Philosophical Transactions of the Royal Society B
  • 2019
TLDR
A structured approach is needed to develop a structured approach that will improve the quality and timeliness of data collected during outbreaks, establish analytic teams within the response structure and define a research agenda for data analytics in outbreak response.