In: Data Analytics

An aerial shot of the Helmholtz Zentrum Muenchen campus.

500,000 euros for COVID-19 study

The Federal Ministry of Education and Research (BMBF) award will support Helmholtz Zentrum München, Malone Center researchers as they investigate the mechanisms and complications of COVID-19 diseases.  

Red, gray, and yellow coronavirus molecules.

New research confirms higher rates of new coronavirus in Latinx populations

A study of testing results across Johns Hopkins Medicine testing sites highlights coronavirus racial disparities in the Baltimore-Washington area.

A pill bottle and white pills. The bottle is titled Hydroxychloroquine 200 MG tab.

Public demand for unproven COVID-19 therapies rise after endorsements from high-profile figures

A new study by researchers from Johns Hopkins, the University of Oxford, and the University of California, San Diego, examines Americans’ Google searches to track the rising public demand for these unproven drugs soon after these high-profile endorsements.

An illustration of the map of the world with location symbols and coronavirus molecules inside them. A person holds a tablet with coronavirus molecules in front of this map.

Hopkins researchers look to Twitter to evaluate social distancing measures

By comparing Twitter data from before and after the COVID-19 outbreak, Johns Hopkins University researchers found a profound impact on the...

An illustration of many hands holding smartphones, smartwatches, tablets, and laptops with coronavirus molecule and masking imagery on their screens. Words like "OUTBREAK," "COVID-19," "STAY HOME," "PANDEMIC," "LOCKDOWN", and exclamation points accompany the imagery. Coronavirus molecules hover in the air.

Social media fuels spread of COVID-19 information – and misinformation

John C. Malone Professor Mark Dredze discusses how social media can help combat—or contribute to—the spread of misinformation during the COVID-19 pandemic

Microscopic rendering of the coronavirus COVID-19.

Malone researchers publish socioeconomic dataset for predictive modeling of COVID-19

Mathias Unberath, assistant research professor in the Malone Center, and team have published an open-source, machine readable dataset related to socioeconomic...