Col. John Boyd’s “Organic Design for Command & Control” came up in conversation today so I figured I would put my copy up and make it available. As usual I’ll probably add to this over time. Feel free to use the comments below to ask questions, I’m going back to old school comments-enabled writing.
Audio starts a couple slides in. I found the complete audio but haven’t yet matched it to the picture. Enjoy.
This page is part of the Syndromic Surveillance and Covid–19 collection of articles at Thoughtfaucet. Please see the Caveats section in particular to better understand the limitations of data and methods.
There are caveats to all data projects. I do not believe any of these undermine the work and thinking. But they are important to note (and I hope you mention other caveats as well–it improves the project) and discuss if necessary. But all the same, remember that John Snow removed the pump handle for a reason.
The above graph uses the NYC Health EpiQuery data (Respiratory case counts) as of 11:50pm EST March 27, 2020 and the NYC Health & Mental Hygiene’s 2019 Novel Coronavirus (Covid-19) Daily Data Summary (tested positive Covid-19 and Covid-19 deaths) as of 4:00pmMarch 27, 2020. This page is updated regularly with new data as it becomes available.
During the Covid-19 outbreak of early 2020 I started working on some graphs with data about the NYC emergency department case counts. This page is a collection of the different aspects of that project.
In the process of developing the Syndromic Surveillance Covid-19 NYC graph I gathered and read a variety of resources. Some of these are for specialist audiences and others are for more general audiences. This page is an annotated bibliography of the medical journal articles, Twitter threads, and news reports related to the project.
The above graph uses the NYC Health EpiQuery data (ILI case counts) as of 1:47pm EST March 24, 2020 and the NYC Health & Mental Hygiene’s 2019 Novel Coronavirus (Covid-19) Daily Data Summary (tested positive Covid-19 and Covid-19 deaths) as of 9:45amMarch 24, 2020.
This document outlines the thinking behind my initial chart, trying to see if there was anything to the idea that Influenza-like Illness could be used to spot Covid-19 in NYC.
A thread on Twitter by Farzad Mostashari mentioned EpiQuery, a data collection maintained by NYC Health. The data consists of emergency department visits broken down by date, coarse age groups, borough of New York City, and what sort of symptoms the person was reporting.