COVID-19 Learning Modules are learning experiences that use dynamic animations and modeling to educate users about the spread of infectious disease.
COVIDMAPPING is a web tool that puts Michigan COVID-19 data in its spatial context.
Socioeconomic and racial inequalities in infection and mortality have been key features of the COVID-19 pandemic in the United States. While identifying these disparities is critical, it has also become clear that we lack the theoretical and methodological tools to integrate the mechanisms generating these inequities into models of infectious disease transmission.
A detailed overview of individual publications can be found on our publications page. Check the list below for direct links to publications.
2022 A guide to backward paper writing for the data sciences 2021 Measuring the impact of spatial perturbations on the relationship between data privacy and validity of descriptive statistics There are no equal opportunity infectors: Epidemiological modelers must rethink our approach to inequality in infection risk Evaluating Michigan’s administrative rule change on nonmedical vaccine exemptions Pneumonia following symptomatic influenza infection among Nicaraguan children before and after introduction of the pneumococcal conjugate vaccine Accounting for uncertainty during a pandemic Measuring Multiple Dimensions and Indices of Nonvaccination Clustering in Michigan, 2008–2018 Has the relationship between wealth and HIV risk in Sub-Saharan Africa changed over time?
We review the interaction between coronavirus disease (COVID-19) and coccidioidomycosis, a respiratory infection caused by inhalation of Coccidioides fungal spores in dust. We examine risk for co-infection among construction and agricultural workers, …
Background: As of November 1, 2020, there have been more than 230K deaths and 9M confirmed and probable cases attributable to SARS-CoV-2 in the United States. However, this overwhelming toll has not been distributed equally, with geographic, …
Seasonal and pandemic respiratory viruses such as influenza and the novel coronavirus (SARS-COV-2) currently sweeping the globe have often been described as ‘equal opportunity infectors’, implying little socioeconomic disparity in susceptibility. …
Data from infectious disease outbreaks in congregate settings are often used to elicit clues about which types of interventions may be useful in other facilities. This is commonly done using before-and-after comparisons in which the infectiousness of …