COVID-19

What can epidemiological models tell us about infection inequality?
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.
Last updated on Dec 2, 2022
COVID-19 Learning Modules
COVID-19 Learning Modules are learning experiences that use dynamic animations and modeling to educate users about the spread of infectious disease.
Last updated on Feb 10, 2022
Michigan COVID-19 Mapping
COVIDMAPPING is a web tool that puts Michigan COVID-19 data in its spatial context.
Last updated on Dec 14, 2021
Our Publications
A detailed overview of individual publications can be found on our publications page. Check the list below for direct links to publications. 2022 There are no equal opportunity infectors: Epidemiological modelers must rethink our approach to inequality in infection risk 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 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?
Last updated on Feb 10, 2022
COVID-19 vaccination and mask wearing behaviors in the United States, August 2020 - June 2021

Background: During the rollout of COVID-19 vaccination, many states relaxed mask wearing requirements for those who were vaccinated. …

DOI Online Access
Modeling rates of disease with missing categorical data
Covariates like age, sex, and race/ethnicity provide invaluable insight to public health authorities trying to interpret surveillance …
DOI Online Access
Coccidioidomycosis and COVID-19 Co-Infection, United States, 2020
We review the interaction between coronavirus disease (COVID-19) and coccidioidomycosis, a respiratory infection caused by inhalation …
DOI Online Access
Racial Disparities in Coronavirus Disease 2019 (COVID-19) Mortality Are Driven by Unequal Infection Risks

Background: As of November 1, 2020, there have been more than 230K deaths and 9M confirmed and probable cases attributable to …

DOI Online Access
Inequality in acute respiratory infection outcomes in the United States: A review of the literature and its implications for public health policy and practice
Seasonal and pandemic respiratory viruses such as influenza and the novel coronavirus (SARS-COV-2) currently sweeping the globe have …
DOI Online Access
Preferential observation of large infectious disease outbreaks leads to consistent overestimation of intervention efficacy
Data from infectious disease outbreaks in congregate settings are often used to elicit clues about which types of interventions may be …
DOI Online Access