Syndromic Surveillance and Covid-19: Combined Influenza-like Illness (ILI) and Respiratory for NYC Emergency Departments.

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. This graph shows the burden being placed on the NYC medical system using data from NYC Health. It shows people arriving at the emergency […]

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 and Covid-19

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. Initial Graph: Was the potential presence of Covid-19 visible in syndromic surveillance data from NYC’s EpiQuery? Graph: What is the increased […]

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 NYC Emergency Dept Load 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. One of doing this might be to examine previous […]

Coronavirus: Estimating future ER load in NYC

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 9:45am March 24, 2020. This article is part of the Syndromic Surveillance and Covid-19 […]

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 […]

Why do ad clicks not match up with Google Analytics data?

This is a question I get just about every week. Someone has an advertising distributor that charges by and reports by clicks. Those clicks don’t match up to the number in Google Analytics. Much worry ensues. Here’s my standard answer on this topic, it covers most sitatuations:   Ad clicks and GA data: Differences between […]

Napkin sketch: A news business model free from advertising

(Originally published in Sept 2015 but sadly still relevant.) We know that advertising in all its forms is cluttering and degrading our experience of the web. Great stories and bits of news are accompanied by six-packs of “26 gay celebrities, you’ll never believe #4!” and “Stop bellyfat with this great tip to end credit card debt!” […]