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** Main links, portals, etc.:
* Wikipedia articles [on the
outbreak](https://en.wikipedia.org/wiki/2019%E2%80%9320_coronavirus_outbreak),
[on the
virus](https://en.wikipedia.org/wiki/Severe_acute_respiratory_syndrome_coronavirus_2)
and [on the disease it
causes](https://en.wikipedia.org/wiki/Coronavirus_disease_2019).
* [Daily situation
reports](https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports/)
and [general
updates](https://www.who.int/emergencies/diseases/novel-coronavirus-2019)
by the WHO.
* [Covid-19 global cases situation dashboard by John
Hopkins](https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6),
updated permanently ([historical
data](https://github.com/CSSEGISandData/COVID-19)).
* [Epidemic data by Wolfram
Data](https://www.wolframcloud.com/obj/examples/COVID19China).
* [Phylogenetic tree of 2019-nCoV
strains](https://nextstrain.org/ncov) ([data
source](https://github.com/nextstrain/ncov)).
* [Virus pathogen data portal on
2019-nCoV](https://www.viprbrc.org/brc/home.spg?decorator=corona_ncov).
** Topical or time-specific links:
* [Twitter Q&A
thread](https://twitter.com/MackayIM/status/1233509962292375559) by
virologist [Ian M. Mackay](https://virologydownunder.com/) on
2020-02-28; discusses, inter alia, reinfection
([here](https://twitter.com/MackayIM/status/1233512522168356864),
[here](https://twitter.com/MackayIM/status/1233512323358363654) and
[here](https://twitter.com/MackayIM/status/1233511497017561090);
seems to think false recovery is more likely than reinfection),
[attack
rate](https://twitter.com/MackayIM/status/1233511899083530240)
(thinks 70% is probably overestimated), [virus
lifetime](https://twitter.com/MackayIM/status/1233522944137187329),
[fatality rate in
Italy](https://twitter.com/MackayIM/status/1233521001578803200)
(probably seems high because of observation bias) and more.
* [A discussion of seasonality of SARS-CoV-2 by epidemiologist Marc
Lipsitch](https://docs.google.com/document/d/17mWPx-HTE1F2RKkbJlt4VkSYaznUiJgt21nuvmu51Kc)
\[date≤2020-02-26\]; summary: despite seasonality of related
viruses, it probably won't go away on its own in the summer.
* [A primer for the general public on virus
mutation](https://ccdd.hsph.harvard.edu/mutation-adaptation-and-virus-genomes-a-primer-for-the-public/)
\[date≤2020-02-26\]; main message is that we don't know much about
mutations of this particular virus, but mutations aren't
particularly scary in and of themselves.
* [Interview of Éric Caumes (head of the department of infectious
diseases at the Pitié hospital in
Paris)](https://www.jim.fr/e-docs/covid_19_la_riposte_est_elle_plus_redoutable_que_le_virus__181852/document_jim_tube.phtml)
on 2020-02-25 \[in French\], discussing various issues
(contagiousness, attack rate, fatality rate, mutation rate, etc.);
main message seems to be that we are overreacting.
* [Thread by epidemiologist Marc
Lipsitch](https://threadreaderapp.com/thread/1231425805898657795.html)
on 2020-02-23 ([Twitter
link](https://twitter.com/mlipsitch/status/1231425805898657795)),
discussing the possibility and effectiveness of (temporary vs
long-term) countermeasures (case-based containment vs lockdowns,
etc.); expresses skepticism as to effectiveness of Chinese lockdowns
(and reliability of reported figures).
* [What we have learnt as of 2020-02-20, MOOC by epidemiologist Arnaud
Fontanet for the Institut
Pasteur](https://www.youtube.com/watch?v=4l_NxT9XJHk); summarizes
main information as of this date. *\[TODO: write better summary
here.\]*
* [Thread by epidemiologist Marc
Lipsitch](https://threadreaderapp.com/thread/1228373884027592704.html)
on 2020-02-14 ([Twitter
link](https://twitter.com/mlipsitch/status/1228373884027592704)),
discussing attack rate (=cumulated infection rate) r and the
estimation that 40%≲r≲70% “in a situation without effective
controls” based on comparison with similar epidemics.
* [Epidemiological characteristics report published in *China CDC
Weekly*](http://weekly.chinacdc.cn/fileCCDCW/journal/article/ccdcw/newcreate/COVID-19.pdf)
\[[mirror](https://github.com/cmrivers/ncov/blob/master/COVID-19.pdf)\]
detailing breakdown of cases and statistics up to 2020-02-11 (72 314
cases).
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