

Threads
Lessons from experienced countries
In comparing outbreaks across countries, I think there is a lot of luck involved in the timing (it’s when, not if). But places that have faced outbreaks in the past have a collective memory and can respond quickly. Highlighting a few examples. 1/7https://t.co/HawqDHbUzw
— Natalie E. Dean, PhD (@nataliexdean) May 3, 2020
Positive predictive value tutorial
1/7 Lots of folks trying to understand sensitivity and specificity. Maybe the most important concept to understand right now is that of POSITIVE PREDICTIVE VALUE.
— Natalie E. Dean, PhD (@nataliexdean) April 23, 2020
Given a test result is positive, what are the chances you were actually infected?
Biostats 101 primer on the topic.
Serosurvey design considerations
1. It's easier to poke holes in a study than to run a study yourself. We should expect many more SARS-CoV-2 serosurveys in our future. So in the spirit of promoting good science, here are my thoughts on best practices for the design of serosurveys. pic.twitter.com/eIxAiaE24V
— Natalie E. Dean, PhD (@nataliexdean) April 19, 2020