My latest investigation: Where is #COVID data?

With 5.7 million cases in the US, we should have a good sense of how often people are infected in grocery stores, on planes, at protests, on construction sites.

Some countries post such data. Why don't we? https://www.nature.com/articles/d41586-020-02478-z

Data on #Covid transmission is critical as people socialize & schools & businesses open.

eg in #NewZealand, the country's daily dashboard suggests people get tested if they went to locations linked w/current outbreaks. https://www.health.govt.nz/our-work/diseases-and-conditions/covid-19-novel-coronavirus/covid-19-current-situation/covid-19-current-cases/covid-19-contact-tracing-locations-interest Screenshot from today

The daily dashboard from the @KoreaCDC reveals that 50 people from a 915-person #COVID outbreak at Sarang Jeil Church in Seoul have left for other districts; that 22 venues, listed, have since had transmission that traces back to that outbreak & MUCH MORE

I'm enamored with #Singapore's dashboard on networks of infection https://co.vid19.sg/singapore/cases  (Imagine if the US had this for colleges, connecting them to the broader community...)

This data helps authorities drill down transmission by figuring out where the weak spots are, say several epidemiologists, like @RanuDhillon @DrTomFrieden @nataliexdean @chngin_the_wrld @drklausner. As @cmyeaton says: “It’s not enough to just tell people to be cautious.”

To find out why @CDCgov doesn't post daily, detailed #COVID19 reports to guide us forward, please read my new story @NatureNews.

PS I'm writing this from Silicon Valley, a global capital for data science. But clearly not for public health. https://www.nature.com/articles/d41586-020-02478-z

PPS This is my 1st piece with our wonderful new editor @laurenkwolf who patiently helped me tie together a complicated topic & probably my last piece in 2020 as I start the @KSJatMIT Fellowship!