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Applications of mathematical modeling in managing the spread of chronic wasting disease (CWD) in wild deer under alternative harvesting scenarios.

The application of a recently developed mathematical model for predicting the spread of chronic wasting disease (CWD) in wild deer was assessed under different scenarios where harvesting is employed in disease management. A process-based mathematical model for CWD transmission in wild deer populations was recently developed and parameterized by Al-arydah et al. (2011) to provide a scientific basis for understanding the factors that affect spread of CWD and evaluate concomitant disease-control strategies. The impact of gender on CWD transmission was shown to have a significant influence on the spread of the disease in the wild. Our model demonstrates a range of harvesting rates in which CWD is controlled and deer populations survive. However, if harvesting rates are too low, the disease remains endemic for decades. Conversely, the Canadian deer population is eradicated if harvesting rates are excessive. Future investigation includes building the model to assess the spread of CWD under different disease-management scenarios.

Authors

  • Al-Arydah, M, Al-Arydah M, a Masdar Institute of Science and Technology , Abu Dhabi , UAE.

  • Croteau, M C, Croteau MC, b McLaughlin Centre for Population Health Risk Assessment , University of Ottawa , Ottawa , Ontario , Canada.

  • Oraby, T, Oraby T, c School of Mathematical and Statistical Sciences , University of Texas Rio Grande Valley , Edinburg , Texas , USA.

  • Smith, R J, Smith RJ, d Department of Mathematics and Faculty of Medicine , University of Ottawa , Ottawa , Ontario , Canada.

  • Krewski, D, Krewski D, b McLaughlin Centre for Population Health Risk Assessment , University of Ottawa , Ottawa , Ontario , Canada.

YEAR OF PUBLICATION: 2016
SOURCE: J Toxicol Environ Health A. 2016;79(16-17):690-9. doi: 10.1080/15287394.2016.1174001.
JOURNAL TITLE ABBREVIATION: J Toxicol Environ Health A
JOURNAL TITLE: Journal of toxicology and environmental health. Part A
ISSN: 1528-7394 (Print) 0098-4108 (Linking)
VOLUME: 79
ISSUE: 16-17
PAGES: 690-9
PLACE OF PUBLICATION: England
ABSTRACT:
The application of a recently developed mathematical model for predicting the spread of chronic wasting disease (CWD) in wild deer was assessed under different scenarios where harvesting is employed in disease management. A process-based mathematical model for CWD transmission in wild deer populations was recently developed and parameterized by Al-arydah et al. (2011) to provide a scientific basis for understanding the factors that affect spread of CWD and evaluate concomitant disease-control strategies. The impact of gender on CWD transmission was shown to have a significant influence on the spread of the disease in the wild. Our model demonstrates a range of harvesting rates in which CWD is controlled and deer populations survive. However, if harvesting rates are too low, the disease remains endemic for decades. Conversely, the Canadian deer population is eradicated if harvesting rates are excessive. Future investigation includes building the model to assess the spread of CWD under different disease-management scenarios.
LANGUAGE: eng
DATE OF PUBLICATION: 2016
DATE COMPLETED: 20170518
DATE REVISED: 20171102
MESH DATE: 2017/05/19 06:00
EDAT: 2016/08/25 06:00
STATUS: MEDLINE
PUBLICATION STATUS: ppublish
LOCATION IDENTIFIER: 10.1080/15287394.2016.1174001 [doi]
OWNER: NLM

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Daniel Krewski

Chief Risk Scientist

Dr. Daniel Krewski is Chief Risk Scientist and co-founder of Risk Sciences International (RSI), a firm established in 2006 to bring evidence-based, multidisciplinary expertise to the challenge of understanding, managing, and communicating risk. As RSI’s inaugural CEO and long-time scientific...
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