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1 to 9 of 9 Results

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...
ld_data_filtered.tab Jun 24, 2025 - Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence Tabular Data - 253.9 KB - 12 Variables, 2694 Observations - UNF:6:NsI0FU/AyQsQzWmfkmpR4w== Lyme Disease case data consolidated, transformed, structured from various www.cdc.gov sources.
powv_counties.tab Jun 24, 2025 - Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence Tabular Data - 1.1 KB - 3 Variables, 18 Observations - UNF:6:mOZr6CcL9bC2WB9aS4biKw== Powassan virus case reporting geographic assignment for use in the simulation code.
powv_data.tab Jun 24, 2025 - Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence Tabular Data - 5.8 KB - 6 Variables, 130 Observations - UNF:6:fdJ1KwbtNuqmsKE46ALdeA== Powassan virus case data consolidated, transformed, structured from various www.cdc.gov sources.
POWV Simulation Model Text Code for R.pdf Jun 24, 2025 - Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence Adobe PDF - 285.5 KB - MD5: d8f7ef38644ff4020fc97a94b01e947e
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),...
CCPSEI_Landscape_2020_11_05.pdf Oct 9, 2024 - CCPSEI Landscape Adobe PDF - 1.6 MB - MD5: 4b0f390f675f525011dfccf83c23c75f
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...
iNaturalist_TicksByYear_2018to2023.tab Jul 26, 2024 - iNaturalist Ticks by Year and County (Minnesota, 2018-2023) Tabular Data - 1.7 KB - 15 Variables, 38 Observations - UNF:6:NvyQIIchYKtZA2L6JvPxVA==

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...

ld_data_filtered.tab

Jun 24, 2025 - Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence

Tabular Data - 253.9 KB - 12 Variables, 2694 Observations -

Lyme Disease case data consolidated, transformed, structured from various www.cdc.gov sources.

powv_counties.tab

Jun 24, 2025 - Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence

Tabular Data - 1.1 KB - 3 Variables, 18 Observations -

Powassan virus case reporting geographic assignment for use in the simulation code.

powv_data.tab

Jun 24, 2025 - Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence

Tabular Data - 5.8 KB - 6 Variables, 130 Observations -

Powassan virus case data consolidated, transformed, structured from various www.cdc.gov sources.

POWV Simulation Model Text Code for R.pdf

Jun 24, 2025 - Data library, R code, and case data employed in McCluskey et al: Leveraging Lyme Disease Surveillance to Simulate Powassan Virus Prevalence

Adobe PDF - 285.5 KB -

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),...

CCPSEI_Landscape_2020_11_05.pdf

Oct 9, 2024 - CCPSEI Landscape

Adobe PDF - 1.6 MB -

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...

iNaturalist_TicksByYear_2018to2023.tab

Jul 26, 2024 - iNaturalist Ticks by Year and County (Minnesota, 2018-2023)

Tabular Data - 1.7 KB - 15 Variables, 38 Observations -

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