Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

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Published by
The International Institute of Informatics and Cybernetics


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Academia.edu
(A Community of about 40.000.000 Academics)


Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

Editorial Advisory Board

Quality Assurance

Editors

Journal's Reviewers
Call for Special Articles
 

Description and Aims

Submission of Articles

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Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes


Quantitative Endosurgery Process Analysis by Machine Learning Method
Bojan Nokovic, Andrew Lambe
(pages: 1-7)

Modelling Student Performance in a Structural Steel Graduate-Based Module: A Comparative Analysis Between K-Nearest Neighbor and Dummy Classifiers
Masengo Ilunga, Omphemetse Zimbili, Phahlani Mampilo, Agarwal Abhishek
(pages: 8-15)

Interoperable Digital Skills for Foreign Languages Education in the COVID-19 Paradigm
Rusudan Makhachashvili, Ivan Semenist, Iryna Vorotnykova
(pages: 16-20)

Education, Training and Informatics Go Hand in Hand in (Foreign) Higher Education Institutions (HEIs) – Case Studies From Live and Online Classrooms
Ekaterini Nikolarea
(pages: 21-29)

Enhancing Pedagogical and Digital Competencies Through Digital Tools: A Proposal for Semi-schooled Language Teaching Programs in Oaxaca, Mexico
José de Jesús Bautista Hernández, Eduardo Bustos Farías, Norma Patricia Maldonado Reynoso
(pages: 30-35)

Railway Track Degradation Modelling Using Finite Element Analysis: A Case Study in South Africa
Ntombela Lunga, Masengo Ilunga
(pages: 36-50)

Continuum of Academic Collaboration: Issues of Inconsistent Terminology in Multilingual Context
Cristo Leon, James Lipuma, Marcos O. Cabobianco, Maria B. Daizo
(pages: 51-62)

Peat Resource Management and Climate Change Mitigation Issues – Case of Latvia
Anita Titova, Natalja Lace
(pages: 63-70)

Using Geospatial Computation Intelligence for Mapping Temporal Evolution of Urban Built-up in Selected Areas of the Ekurhuleni Municipality, South Africa
Jo-Anne Correia, Masengo Ilunga
(pages: 71-80)

Cybernetics and Informatics of Generative AI for Transdisciplinary Communication in Education
Rusudan Makhachashvili, Ivan Semenist
(pages: 81-88)

Navigating Psychological Riptides: How Seafarers Cope and Seek Help for Mental Health Needs
Coleen Abadicio, Stella Louise Arenas, Rosette Renee Hahn, Angel Berry Maleriado, Ramon Miguel Mariano, Rodolfo Antonio Ma. Zabella, Genejane Adarlo
(pages: 89-98)


 

Abstracts

 


ABSTRACT


Business Intelligence (BI) and Geographic Information Systems (GIS) Tools in a Coordinated Strategy for Handling and Controlling Outbreaks of African Swine Fever

Giacomo Nalesso, Rachele Urbani, Clara Tassinato, Vittoria Tregnaghi, Matteo Mazzucato, Matteo Trolese, Monica Lorenzetto, Simone Rizzo, Paolo Mulatti, Guido Di Martino, Grazia Manca


African Swine Fever (ASF), a severe swine disease with potential zoonotic implications, historically limited to Sardinia in Italy since 1978, made its mainland debut in January 2022, raising concerns. The genotype found in northwest Italy (genotype II) differs from the Sardinian strain (genotype I). By January 2024, the epidemic had escalated, with 1435 wild boar cases and 21 domestic pig outbreaks reported [6]. The Epidemiology department of the "Istituto Zooprofilattico Sperimentale delle Venezie" (IZSVe) responded with innovative tools. These included a comprehensive data warehouse, integrating farm, processing centre, and slaughterhouse data with Laboratory Information Management Systems and geospatial information. Additionally, an "African Swine Fever/Manager" (ASF-Manager) tracked outbreak specifics, while "IZSVe GIS African Swine Fever" (IZSVeGIS-ASF) provided real-time monitoring and support for control measures. IZSVeGIS-ASF facilitates spatial analysis and filtering of data, offering insights into animal demographics and premises characteristics. Currently exclusive to IZSVe's Epidemiology department, efforts are underway to expand access to local and regional veterinary services, fostering collaborative ASF management. Ongoing enhancements aim to optimize functionality and broaden utilization during ASF outbreaks.

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