In March 2020, COVID-19 was declared a global pandemic, spurring intense research efforts. Genomic surveillance emerged as a crucial defense against the virus. Variants of concern arise from epidemiologically relevant mutations, posing challenges in disease control. Global pandemics are exacerbated by habitat loss, urbanization, and globalization, facilitating disease spread. The SENSIBLE project, supported by the Italian Ministry of University and Research through NextGeneration EU funding, aims to develop methods for analyzing viral genomes and implement early warning information systems based on data-driven analysis, exploiting data from past epidemics for validation. SENSIBLE will create an integrated framework for genomic surveillance, utilizing data-driven and knowledge-based analyses. By leveraging knowledge from COVID-19, it seeks to enhance understanding of viral pathogens and aid healthcare decision-making.

SENSIBLE: Implementing Data-Driven Early Warning Systems for Future Viral Epidemics

Anna Bernasconi;Tommaso Alfonsi;Stefano Ceri
2024-01-01

Abstract

In March 2020, COVID-19 was declared a global pandemic, spurring intense research efforts. Genomic surveillance emerged as a crucial defense against the virus. Variants of concern arise from epidemiologically relevant mutations, posing challenges in disease control. Global pandemics are exacerbated by habitat loss, urbanization, and globalization, facilitating disease spread. The SENSIBLE project, supported by the Italian Ministry of University and Research through NextGeneration EU funding, aims to develop methods for analyzing viral genomes and implement early warning information systems based on data-driven analysis, exploiting data from past epidemics for validation. SENSIBLE will create an integrated framework for genomic surveillance, utilizing data-driven and knowledge-based analyses. By leveraging knowledge from COVID-19, it seeks to enhance understanding of viral pathogens and aid healthcare decision-making.
2024
Proceedings of the Research Projects Exhibition Papers Presented at the 36th International Conference on Advanced Information Systems Engineering (CAiSE 2024)
Biomedical Ontologies
Genomic Surveillance
Pathogens Evolution
IS in the post-COVID world
Bioinformatics
Big Data, Data Science and Analytics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1266723
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