Emerging Threats Epidemiology Group https://www.unmc.edu/publichealth/departments/epidemiology/research/eteg/index.html
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Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence
Jun 24, 2025
McCluskey III, James, 2025, "Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence", https://doi.org/10.7910/DVN/GHHOJ3, Harvard Dataverse, V1, UNF:6:qoSO4mWTPAtCLwasOHrvPQ== [fileUNF]
This file contains R code to generate simulation data and employ it in assessing potential range of disease burden. That file also has a data library. Also uploaded here are files containing data consolidated, transformed, and structured for analysis (primary source, www.cdc.gov). This work was performed in order to employ Lyme surveillance and oth...
CCPSEI Landscape
Oct 9, 2024
Brett-Major, David, 2024, "CCPSEI Landscape", https://doi.org/10.7910/DVN/61CCDY, Harvard Dataverse, V1
In early 2020 as the first patients with COVID-19 arrived via aeromedical evacuation to Omaha, we (co-PI Professor Broadhurst | Pathology, Microbiology, and Immunology) launched what was the first prospective observational cohort on COVID-19 in the United States, called the Clinical Characterization Protocol for Severe Emerging Infections (CCPSEI),...
iNaturalist Ticks by Year and County (Minnesota, 2018-2023)
Jul 26, 2024
Angell, Kathleen, 2024, "iNaturalist Ticks by Year and County (Minnesota, 2018-2023)", https://doi.org/10.7910/DVN/7MCPCZ, Harvard Dataverse, V1, UNF:6:NvyQIIchYKtZA2L6JvPxVA== [fileUNF]
This is a cleaned dataset providing verified observation counts of Ixodes, Dermacentor, and all ticks in Minnesota from 2018-23. The original data was sourced from the iNaturalist open access portal. The dataset provides an example of transformed crowd sourced passive surveillance information used in conventional epidemiologic analysis re: One Heal...
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