Works (5)

Updated: April 5th, 2024 15:03

2023 journal article

Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the United States

FRONTIERS IN VETERINARY SCIENCE, 10.

By: F. Sanchez n, J. Galvis n, N. Cardenas n, C. Corzo*, C. Jones n & G. Machado n

author keywords: PRRS virus; swine disease dynamics; biosecurity; surveillance; local transmission
TL;DR: Results obtained from this study may be used to guide the reinforcement of biosecurity and surveillance strategies to farms and areas within the distance threshold of PRRSV positive farms. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: July 25, 2023

2022 article

Coupling spatial statistics with social network analysis to estimate distinct risk areas of disease circulation to improve risk-based surveillance

Cardenas, N. C., Sanchez, F., Lopes, F. P. N., & Machado, G. (2022, June 25). TRANSBOUNDARY AND EMERGING DISEASES, Vol. 6.

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

author keywords: disease spread; movement flows; non-stationary Gaussian models; risk areas mapping; social network analysis
MeSH headings : Animals; Disease Outbreaks / prevention & control; Disease Outbreaks / veterinary; Equine Infectious Anemia / epidemiology; Farms; Horse Diseases / epidemiology; Horses; Infectious Anemia Virus, Equine; Social Network Analysis
TL;DR: The results demonstrate that animal movements and spatial risk mapping could be used to make informed decisions before issuing animal movement permits, thus potentially reducing the chances of reintroducing infection into areas of low risk. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, ORCID
Added: June 13, 2022

2022 journal article

Modelling control strategies against classical swine fever: Influence of traders and markets using static and temporal networks in Ecuador

PREVENTIVE VETERINARY MEDICINE, 205.

By: A. Acosta*, N. Cardenas n, C. Imbacuan*, H. Lentz*, K. Dietze*, M. Amaku*, A. Burbano*, V. Goncalves*, F. Ferreira*

author keywords: Modelling; Social network analysis; Temporal networks; Classical swine fever; Target surveillance; Epidemiology
MeSH headings : Animal Husbandry / methods; Animals; Classical Swine Fever / epidemiology; Classical Swine Fever / prevention & control; Classical Swine Fever Virus; Disease Outbreaks / veterinary; Ecuador / epidemiology; Farms; Swine; Swine Diseases / epidemiology
TL;DR: NVS surveillance strategies could be more efficient by targeting the most at-risk premises, and taking into account the temporal information would make the risk assessment much more precise, reducing the time to eradicate CSF and other infectious animal diseases. (via Semantic Scholar)
Source: Web Of Science
Added: August 15, 2022

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)
Source: Web Of Science
Added: March 7, 2022

2022 article

Network analysis of pig movements in Ecuador: Strengthening surveillance of classical swine fever

Acosta, A. J., Cardenas, N. C., Pisuna, L. M., Galvis, J. A., Vinueza, R. L., Vasquez, K. S., … Ferreira, F. (2022, July 10). TRANSBOUNDARY AND EMERGING DISEASES.

author keywords: classical swine fever; Ecuador; policy; social network analysis; spatial analysis; surveillance system
MeSH headings : Animal Husbandry / methods; Animals; Classical Swine Fever / prevention & control; Ecuador / epidemiology; Sus scrofa; Swine; Swine Diseases / epidemiology; Transportation
TL;DR: The aim of this work was to analyse the static and spatial characteristics of the pig network, to identify its trading communities and to study the contribution of the network to the transmission of classical swine fever in Ecuador. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: July 26, 2022

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