** 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).