Abagael Louise Sykes

College of Veterinary Medicine

Works (3)

Updated: April 5th, 2024 14:41

2023 journal article

Estimating the effectiveness of control actions on African swine fever transmission in commercial swine populations in the United States

PREVENTIVE VETERINARY MEDICINE, 217.

By: A. Sykes n, J. Galvis  n, . Kathleen C. O'Hara *, C. Corzo * & G. Machado n 

author keywords: ASF dynamics; Elimination of transmission; Vehicle movements; Disease preparedness; Outbreak response
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 13, 2023

2022 journal article

Multiple species animal movements: network properties, disease dynamics and the impact of targeted control actions

VETERINARY RESEARCH, 53(1).

By: N. Cardenas n, A. Sykes n, F. Lopes* & G. Machado n 

MeSH headings : Animal Husbandry / methods; Animals; Cattle; Cattle Diseases / epidemiology; Cattle Diseases / prevention & control; Epidemics / veterinary; Farms; Livestock; Swine; Swine Diseases / epidemiology; Transportation
TL;DR: A stochastic multilevel model was developed to simulate scenarios in which infection was seeded into single host and multi-host farms to quantify disease spread potential, and simulate network-based control actions used to evaluate the reduction of secondarily infected farms. (via Semantic Scholar)
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Source: Web Of Science
Added: March 7, 2022

2021 article

Interpretable machine learning applied to on-farm biosecurity and porcine reproductive and respiratory syndrome virus

Sykes, A. L., Silva, G. S., Holtkamp, D. J., Mauch, B. W., Osemeke, O., Linhares, D. C. L., & Machado, G. (2021, November 16). TRANSBOUNDARY AND EMERGING DISEASES, Vol. 10.

By: A. Sykes n, G. Silva *, D. Holtkamp *, B. Mauch*, O. Osemeke *, D. Linhares *, G. Machado n 

Contributors: A. Sykes n, G. Silva *, D. Holtkamp *, B. Mauch*, O. Osemeke *, D. Linhares *, G. Machado n 

author keywords: disease of swine; interpretable machine learning; on-farm biosecurity; PRRSV
MeSH headings : Animal Husbandry / methods; Animals; Biosecurity; Disease Susceptibility / veterinary; Farms; Humans; Machine Learning; Porcine Reproductive and Respiratory Syndrome / epidemiology; Porcine Reproductive and Respiratory Syndrome / prevention & control; Porcine respiratory and reproductive syndrome virus; Swine
TL;DR: A novel interpretable machine learning toolkit was developed to benchmark farms and production systems by predicted risk, and quantify the impact of biosecurity practices on disease risk at individual farms. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 1, 2021

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