J
Jon Zelner
Researcher at University of Michigan
Publications - 48
Citations - 641
Jon Zelner is an academic researcher from University of Michigan. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 12, co-authored 39 publications receiving 376 citations. Previous affiliations of Jon Zelner include Princeton University.
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Journal ArticleDOI
Racial Disparities in Coronavirus Disease 2019 (COVID-19) Mortality Are Driven by Unequal Infection Risks.
Jon Zelner,Rob Trangucci,Ramya Naraharisetti,Alex Cao,Ryan E. Malosh,Kelly Broen,Nina B. Masters,Paul L. Delamater +7 more
TL;DR: This article found that the disparity in mortality between Blacks and Whites is driven by dramatically higher rates of COVID-19 infection across all age groups, particularly among older adults, rather than age-specific variation in case-fatality rates.
Posted ContentDOI
Racial disparities in COVID-19 mortality are driven by unequal infection risks.
Jon Zelner,Rob Trangucci,Ramya Naraharisetti,Alex Cao,Ryan E. Malosh,Kelly Broen,Nina B. Masters,Paul L. Delamater +7 more
TL;DR: It is found that the bulk of the disparity in mortality between Blacks and Whites is driven by dramatically higher rates of COVID-19 infection across all age groups, particularly among older adults, rather than age-specific variation in case-fatality rates.
Journal ArticleDOI
Heterogeneity in norovirus shedding duration affects community risk.
TL;DR: Characterizing and understanding shedding duration heterogeneity can provide insights into community transmission that can be useful in mitigating norovirus risk.
Journal ArticleDOI
Fine-scale spatial clustering of measles nonvaccination that increases outbreak potential is obscured by aggregated reporting data.
Nina B. Masters,Marisa C. Eisenberg,Paul L. Delamater,Matthew Kay,Matthew L. Boulton,Jon Zelner +5 more
TL;DR: A series of computational experiments are performed to assess the impact of clustered non vaccination on outbreak potential and magnitude of bias in predicting disease risk posed by measuring vaccination rates at coarse spatial scales and find that, when nonvaccination is locally clustered, reporting aggregate data at the state- or county-level can result in substantial underestimates of outbreak risk.
Journal ArticleDOI
Unreported cases in the 2014-2016 Ebola epidemic: Spatiotemporal variation, and implications for estimating transmission.
Benjamin D. Dalziel,Max S. Y. Lau,Amanda Tiffany,Amanda McClelland,Jon Zelner,Jessica R. Bliss,Bryan T. Grenfell +6 more
TL;DR: A retrospective analysis on community deaths during the recent Ebola epidemic in Sierra Leone to estimate the number of unreported non-hospitalized cases, and to quantify how Ebola reporting rates varied across locations and over time, found significant variation in reporting rates among districts, and district-specific rates of increase in reporting over time.