Olaf Berke

Associate Professor of Statistical Epidemiology

University of Guelph

Canada

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Olaf Berke is an Associate Professor of Statistical Epidemiology at the University of Guelph in Canada. His research focuses on the application of machine learning and statistical methods in public health, with recent articles covering topics such as Lyme disease, influenza forecasting, and risk factors for canine leptospirosis. He has also contributed to studies on canine cancer and mental health patterns in urban settings.

Articles (23)

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2025

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2024

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2024

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (4)

Dorothee Bienzle

Professor

University of Guelph

CANADA

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Hadas Hawlena

ISRAEL

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Philippe Gachon

Professor

Université de Montréal

CANADA

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Eyal Klement

ISRAEL

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Olaf Berke

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Articles (23)

Of Lyme disease and machine learning in a One Health world

Standardized bone marrow assessment, risk variables, and survival in dogs with myelodysplastic syndrome and acute myeloid leukemia

Forecasting seasonal influenza activity in Canada-Comparing seasonal Auto-Regressive integrated moving average and artificial neural network approaches for public health preparedness

Social and environmental risk factors for canine leptospirosis: A scoping review

Spatial patterns of Mental Health Act apprehensions in Toronto, Canada, 2014-2022

Predicting host species susceptibility to influenza viruses and coronaviruses using genome data and machine learning: a scoping review

Utilizing machine learning and hemagglutinin sequences to identify likely hosts of influenza H3Nx viruses

Comparing the diagnostic performance of ordinary, mixed, and lasso logistic regression models at identifying opioid and cannabinoid poisoning in U.S. dogs using pet demographic and clinical data reported to an animal poison control center (2005–2014)

Investigating the distribution of calls to a North American animal poison control call center by veterinarians and the public in space, time, and space-time

Estimating the test-adjusted incidence of <i>Chlamydia trachomatis</i> infections identified through Public Health Ontario Laboratories in Peel region, Ontario, 2010-2018: a population-based study.

Comparing the diagnostic performance of ordinary, mixed, and lasso logistic regression models at identifying opioid and cannabinoid poisoning in US dogs using pet demographic and clinical data reported to an animal poison control center (2005-2014)

Development and assessment of an epidemiologic dashboard for surveillance of Varroa destructor in Ontario apiaries

Investigating the association between socioeconomic and agricultural risk factors and the incidence of Salmonella Heidelberg and Salmonella Typhimurium in Ontario in 2015: A multi-level ecological approach

Investigating the distribution of calls to a North American animal poison control call center by veterinarians and the public in space, time, and space-time

Can North American animal poison control center call data provide early warning of outbreaks associated with contaminated pet food? Using the 2007 melamine pet food contamination incident as a case study

Rudolf Virchow—The epic

Reduction of free-roaming cat population requires high-intensity neutering in spatial contiguity to mitigate compensatory effects

An investigation of blood, milk, and urine test patterns for the diagnosis of ketosis in dairy cows in early lactation

Zika virus outbreak in Brazil under current and future climate

Yellow fever virus outbreak in Brazil under current and future climate

Spatial epidemiological analysis of Lyme disease in southern Ontario utilizing Google Trends searches

Investigation of the occurrence of Angiostrongylus vasorum in coyotes in southern Ontario, Canada

Detection of spatial, temporal and space‐time Salmonella Heidelberg and Salmonella Typhimurium clusters in Ontario in 2015, and comparisons to known outbreaks

Collaborators (4)

Dorothee Bienzle

Hadas Hawlena

Philippe Gachon

Eyal Klement

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