A Night at the OPERA: A Conceptual Framework for an Integrated Distributed Sensor Network-Based System to Figure out Safety Protocols for Animals under Risk of Fire

Tamburis, Oscar; Giannino, Francesco; D’Arco, Mauro; Tocchi, Alessandro; Esposito, Christian; Fiore, Giorgio Di; Piscopo, Nadia; Esposito, Luigi

doi:10.3390/s20092538

Cited by 13 publications

(11 citation statements)

References 41 publications

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“…This requires a systematic integration of knowledge (ie, knowledge about health care, veterinary care, agriculture, meteorology, climate change, environmental protection, and intelligence) [ 45 ] into novel decision-making processes. These processes include decisions about the prevention and management of all hazards and threats to public health, such as exposure to animal diseases with zoonotic potential, environmental exposures, drug adverse events, the rise of misinformation [ 46 ], instances of diseases, and disease outbreaks [ 47 ].…”

Section: The Three Perspectives: the “Individual-population-ecosystemmentioning

confidence: 99%

One Digital Health: A Unified Framework for Future Health Ecosystems

Benis¹,

Tamburis²,

Chronaki³

et al. 2021

J Med Internet Res

Self Cite

119

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One Digital Health is a proposed unified structure. The conceptual framework of the One Digital Health Steering Wheel is built around two keys (ie, One Health and digital health), three perspectives (ie, individual health and well-being, population and society, and ecosystem), and five dimensions (ie, citizens’ engagement, education, environment, human and veterinary health care, and Healthcare Industry 4.0). One Digital Health aims to digitally transform future health ecosystems, by implementing a systemic health and life sciences approach that takes into account broad digital technology perspectives on human health, animal health, and the management of the surrounding environment. This approach allows for the examination of how future generations of health informaticians can address the intrinsic complexity of novel health and care scenarios in digitally transformed health ecosystems. In the emerging hybrid landscape, citizens and their health data have been called to play a central role in the management of individual-level and population-level perspective data. The main challenges of One Digital Health include facilitating and improving interactions between One Health and digital health communities, to allow for efficient interactions and the delivery of near–real-time, data-driven contributions in systems medicine and systems ecology. However, digital health literacy; the capacity to understand and engage in health prevention activities; self-management; and collaboration in the prevention, control, and alleviation of potential problems are necessary in systemic, ecosystem-driven public health and data science research. Therefore, people in a healthy One Digital Health ecosystem must use an active and forceful approach to prevent and manage health crises and disasters, such as the COVID-19 pandemic.

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Section: The Three Perspectives: the “Individual-population-ecosystemmentioning

confidence: 99%

One Digital Health: A Unified Framework for Future Health Ecosystems

Benis¹,

Tamburis²,

Chronaki³

et al. 2021

J Med Internet Res

Self Cite

119

View full text Add to dashboard Cite

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“…One example of ODH intervention is the OPtimal Evacuation Route for Animals (OPERA) project 8 . OPERA consists of an information system supporting environmental monitoring of the wooded areas at risk of fire in the "Mount Vesuvius' red zone".…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…One example of ODH intervention is the Optimal Evacuation Route for Animals (OPERA) project. 8 OPERA consists of an information system supporting environmental monitoring of the wooded areas at risk of fire in the "Mount Vesuvius' red zone" in South Italy. Its main objective is to determine the optimal evacuation route for animals in case of fire, for each of the reported animal species living in the mentioned area.…”

Section: Odh Intervention In a Fairness Waymentioning

confidence: 99%

One Digital Health for more FAIRness

Tamburis

Benis

2022

Methods Inf Med

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Background: One Digital Health (ODH) aims to propose a framework that merges One Health’s and Digital Health’s specific features into an innovative landscape. FAIR (Findable, Accessible, Interoperable, and Reusable) principles consider applications and computational agents (or in other terms, data, metadata, and infrastructures) as stakeholders with the capacity to find, access, interoperate, and reuse data with none or minimal human intervention. Objectives: This paper aims to elicit how the One Digital Health framework is compliant with FAIR principles and metrics, providing some thinking guide to investigate and define whether adapted metrics need to be figured out for an effective ODH Intervention setup. Methods: An integrative analysis of the literature was conducted in order to extract instances of the need - or of the eventual already existing deployment - of FAIR principles, for each of the three layers (keys, perspectives, dimensions) of the ODH framework. The scope was to assess the extent of scatteredness in pursuing the many facets of FAIRness, descending from the lack of a unifying and balanced framework. Results: A first attempt to interpret the different technological components existing in the different layers of the ODH framework, in the light of the FAIR principles, was conducted. Although the mature and working examples of workflows for data FAIRification processes currently retrievable in the literature provided a robust ground to work from, a non-suitable capacity to fully assess FAIR aspects for highly interconnected scenarios, which the ODH-based are, has emerged. Rooms for improvement are anyway possible to timely deal with all the underlying features of topics like the delivery of health care in a syndemic scenario, the digital transformation of human and animal health data, or the digital nature conservation through digital technology-based intervention. Conclusions: ODH pillars account for the availability (findability, accessibility) of human, animal, and environmental data allowing a unified understanding of complex interactions (interoperability) over time (reusability). A vision of integration between these two worlds, under the vest of ODH Interventions featuring FAIRness characteristics, towards the development of a systemic lookup of health and ecology in a digitalized way, is therefore auspicable.

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“…An integrated application of ICT with system modelling is instead presented by [ 20 ]. The system was designed to monitor the areas under fire-risk and to assess the optimal evacuation routes for wild animals in cases of wildfire.…”

Section: Contributionsmentioning

confidence: 99%