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Update README.md

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- **Johns Hopkins University CORONAVIRUS RESOURCE CENTER** (https://coronavirus.jhu.edu) see also https://github.com/CSSEGISandData/COVID-19
- **Highlights of Expert Panel on COVID-19 from Harvard, MIT, Mass General Hospital** (https://www.justsecurity.org/69202/highlights-of-expert-panel-on-covid-19-from-harvard-mit-mass-general)
- **COVID Scholar from the Lawrence Berkeley National Laboratory** COVID-19 literature search [powered](https://covidscholar.org/about) by advanced [NLP](https://en.wikipedia.org/wiki/Natural_language_processing) algorithms (https://covidscholar.org)
- **Epidemic Outbreak project (graph-theory)** by [_je-suis-tm_](https://je-suis-tm.github.io): (https://github.com/je-suis-tm/graph-theory/tree/master/Epidemic%20Outbreak%20project). Uses Numba and multiprocessing to speed up the [Gillespie Algorithm](https://en.wikipedia.org/wiki/Gillespie_algorithm) [[ref](https://pubs.acs.org/doi/abs/10.1021/j100540a008)] for simulating the change of each agent at each discrete step w.r.t. the underlying equations for the stochastic process (SIR model) for which the reaction rates are known (also used heavily in computational systems biology).
- **Epidemic Outbreak project (graph-theory)** by [_je-suis-tm_](https://je-suis-tm.github.io): (https://github.com/je-suis-tm/graph-theory/tree/master/Epidemic%20Outbreak%20project). Uses [Numba](http://numba.pydata.org) and multiprocessing to speed up the [Gillespie Algorithm](https://en.wikipedia.org/wiki/Gillespie_algorithm) [[ref](https://pubs.acs.org/doi/abs/10.1021/j100540a008)] for simulating the change of each agent at each discrete step w.r.t. the underlying equations for the stochastic process (SIR model) for which the reaction rates are known (also used heavily in computational systems biology [[ref1](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4262058)] [[ref2](https://link.springer.com/article/10.1007/s11538-019-00633-w)]).
### Data and challenges (for educational use)
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