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Alwyn Tan, Sangeeta Rao and Mo Salman
Effective animal disease reporting is critical for early disease detection and control, but it is often hindered by various human behavioral barriers. This review outlines a comprehensive approach to understanding and addressing these barriers in animal ...
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Charalampos S. Kouzinopoulos, Eleftheria Maria Pechlivani, Nikolaos Giakoumoglou, Alexios Papaioannou, Sotirios Pemas, Panagiotis Christakakis, Dimosthenis Ioannidis and Dimitrios Tzovaras
Citizen science reinforces the development of emergent tools for the surveillance, monitoring, and early detection of biological invasions, enhancing biosecurity resilience. The contribution of farmers and farm citizens is vital, as volunteers can streng...
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Die Zhang, Yong Ge, Xilin Wu, Haiyan Liu, Wenbin Zhang and Shengjie Lai
Data-driven approaches predict infectious disease dynamics by considering various factors that influence severity and transmission rates. However, these factors may not fully capture the dynamic nature of disease transmission, limiting prediction accurac...
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Alwyn Tan, Mo Salman, Bruce Wagner and Brian McCluskey
Biosurveillance defines the process of gathering, integrating, interpreting, and communicating essential information related to all-hazards threats or disease activity affecting human, animal, or plant health to achieve early detection and warning, contr...
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Alice Wang, Rozita Dara, Samira Yousefinaghani, Emily Maier and Shayan Sharif
Infectious diseases take a large toll on the global population, not only through risks of illness but also through economic burdens and lifestyle changes. With both emerging and re-emerging infectious diseases increasing in number, mitigating the consequ...
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Kai Ilie Smith and Sara Shirowzhan
The outbreak of the Delta Variant of COVID-19 presents a natural experiment without modern precedent. As authorities scrambled to control the spread of the disease in Australia?s largest cities, construction workers were allowed to keep working on site w...
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Marco Vecchiato, Giulia Quinto, Stefano Palermi, Giulia Foccardi, Barbara Mazzucato, Francesca Battista, Federica Duregon, Federica Michieletto, Daniel Neunhaeuserer and Andrea Ermolao
Background: Exercise training is a known important prevention and treatment modality in patients with cardiovascular (CV) diseases. However, the CV risk factors in gym users have been poorly studied. The aim of this study was to monitor CV risk factors o...
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Nuno Marques da Costa, Nelson Mileu and André Alves
Due to its novelty, the recent pandemic of the coronavirus disease (COVID-19), which is associated with the spread of the new severe acute respiratory syndrome coronavirus (SARS-CoV-2), triggered the public?s interest in accessing information, demonstrat...
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Raid W. Amin, Hakki Erhan Sevil, Salih Kocak, Guillermo Francia III and Philip Hoover
In this study, we aimed to identify spatial clusters of countries with high rates of cyber attacks directed at other countries. The cyber attack dataset was obtained from Canadian Institute for Cybersecurity, with over 110,000 Uniform Resource Locators (...
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Supriya M. and Vijay Kumar Chattu
Artificial intelligence (AI) programs are applied to methods such as diagnostic procedures, treatment protocol development, patient monitoring, drug development, personalized medicine in healthcare, and outbreak predictions in global health, as in the ca...
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