A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States

A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States

As infectious disease modelers, one of the greatest challenges we face is in accurately reflecting the complexities of transmission, particularly human behavior. Important factors we…

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Disasters collide at the intersection of extreme weather and infectious diseases

Disasters collide at the intersection of extreme weather and infectious diseases

Natural disasters like hurricanes, droughts, and floods are becoming increasingly frequent and severe as a result of global climate change and human activities. Perhaps more…

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Anticipating epidemic transitions in metapopulations with multivariate spectral similarity

Anticipating epidemic transitions in metapopulations with multivariate spectral similarity

The control and prediction of emerging pathogens are major challenges for the health and safety of the public, as they are among the most unpredictable…

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OutbreakTrees: an Open-access database of infectious disease transmission trees

OutbreakTrees: an Open-access database of infectious disease transmission trees

Transmission trees describe who infected whom during outbreaks of infectious diseases (see example tree below). These data are routinely collected through resource intensive methods including…

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2019 Coronavirus Tracker

2019 Coronavirus Tracker

On January 24, 2020, the The Center for the Ecology of Infectious Diseases at the University of Georgia formed the Coronavirus Working Group, a group of about 20…

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