Syndromic Surveillance & Covid-19 Caveats

This article is part of the Syndromic Surveillance and Covid-19 collection on Thoughtfaucet. 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 […]

Syndromic Surveillance: Tracking Covid-19 via Respiratory ER Visits

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 4:00pm March 27, 2020. This page is updated regularly with new data as it […]

Syndromic Surveillance & Covid-19 Resources

This article is part of the Syndromic Surveillance and Covid-19 collection on Thoughtfaucet. 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 […]

Loadband, an information design pattern for showing intensity of real world factors

This article is part of the Syndromic Surveillance and Covid-19 collection on Thoughtfaucet. While working on my “Estimating Future ER Load” information design I wanted a way to show how many cases of influenza-like illness an emergency department was capable of handling over a given time.

Seeing Covid-19 in Influenza-like Illness, NYC 2020

This article is part of the Syndromic Surveillance and Covid-19 collection on Thoughtfaucet. 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 […]