AI-Enhanced Tools and Strategies for Airborne Disease Prevention in Cultural Heritage Sites

Author:

Greco Enrico123ORCID,Gaetano Anastasia Serena1ORCID,De Spirt Alessia1,Semeraro Sabrina1ORCID,Piscitelli Prisco24ORCID,Miani Alessandro25,Mecca Saverio67,Karaj Stela8ORCID,Trombin Rita7,Hodgton Rachel9,Barbieri Pierluigi12ORCID

Affiliation:

1. Department of Chemical and Pharmaceutical Sciences, University of Trieste, Via Licio Giorgieri 1, 34127 Trieste, Italy

2. Italian Society of Environmental Medicine (SIMA), Viale di Porta Vercellina, 9, 20123 Milan, Italy

3. National Interuniversity Consortium of Material Science and Technology (INSTM), Via G. Giusti, 9, 50121 Firenze, Italy

4. Department of Experimental Medicine, University of Salento, Via Monteroni, 73100 Lecce, Italy

5. Department of Environmental Science and Policy, University of Milan, Via Celoria 2, 20133 Milano, Italy

6. Department of Architecture, University of Firenze, Via della Mattonaia 14, 50121 Firenze, Italy

7. Italian Academy of Biophilia (AIB), Lungadige Galtarossa 21, 37133 Verona, Italy

8. Faculty of Social Sciences, European University of Tirana, Rruga Xhanfize Keko, 1000 Tirana, Albania

9. International WELL Building Institute, New York, NY 10001, USA

Abstract

In the wake of the COVID-19 pandemic, the surveillance and safety measures of indoor Cultural Heritage sites have become a paramount concern due to the unique challenges posed by their enclosed environments and high visitor volumes. This communication explores the integration of Artificial Intelligence (AI) in enhancing epidemiological surveillance and health safety protocols in these culturally significant spaces. AI technologies, including machine learning algorithms and Internet of Things (IoT) sensors, have shown promising potential in monitoring air quality, detecting pathogens, and managing crowd dynamics to mitigate the spread of infectious diseases. We review various applications of AI that have been employed to address both direct health risks and indirect impacts such as visitor experience and preservation practices. Additionally, this paper discusses the challenges and limitations of AI deployment, such as ethical considerations, privacy issues, and financial constraints. By harnessing AI, Cultural Heritage sites can not only improve their resilience against future pandemics but also ensure the safety and well-being of visitors and staff, thus preserving these treasured sites for future generations. This exploration into AI’s role in post-COVID surveillance at Cultural Heritage sites opens new frontiers in combining technology with traditional conservation and public health efforts, providing a blueprint for enhanced safety and operational efficiency in response to global health challenges.

Publisher

MDPI AG

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