We make mistakes. That’s one of the main reasons we make our data publicly available – so others can point it out and we can correct. For every mistake found we’re offering a beer – check back here for the tally and leaderboard.
Recent Data-related Blog Posts
To understand the spread of COVID-19 in San Diego, we looked at the age distribution of COVID-19 over time (Figure 1). Data for this analysis was provided by the Epidemiology and Immunization Services Branch of the County of San Diego Health and Human Services agency through the San Diego Open GIS Data Portal. The visualization was inspired by Gytis Dudas's…
English: To gain insights into the the emergence, spread, and transmission of COVID-19 in our community, we are working with a large number of partners to sequence SARS-CoV-2 samples from patients in San Diego and across the border in Tijuana. In this preliminary analysis we look at the how the outbreaks are connected between California, USA and Baja California, (more…)
To gain insights into the the emergence, spread, and transmission of COVID-19 in our community, we are working with a large number of partners to sequence SARS-CoV-2 samples from infected patients in San Diego. This is our first preliminary analysis. (more…)
Our study investigating smoldering 'hidden' outbreaks of Zika in the Americas was published on the cover of Cell. In this paper we used travel surveillance and genomic epidemiology to answer a simple question - "in 2017, was the epidemic over?". The short answer, is no - read the rest of the study for the long answer. The Zika epidemic in…
In two papers published in Cell and Cell Host Microbe together with our collaborators at VIC, CViSB, and VHFC we describe in detail antibody responses to Ebola virus. By systematic analysis of a large set of more than 170 monoclonal antibodies to Ebola virus, we investigated which immunological features play key roles in protection against the virus. This was our first…