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In a modern pandemic outbreak, where collective threats require global strategies and local operational defence applications, data-driven solutions for infection tracing and forecasting epidemic trends are crucial to achieve sustainable and socially resilient cities. Indeed, the need for monitoring, containing, and mitigating the ongoing COVID-19 pandemic has generated a great deal of interest in Digital Proximity Tracing Technology (DPTT) on smartphones, as well as their function and effectiveness and insights of population acceptance. This paper introduces and compares different Data-Driven Epidemic Intelligence Strategies (DDEIS) developed on DPTTs. It aims to clarify to what extent DDEIS could be effective and both technologically and socially suitable in reaching the objective of a swift return to normality for cities, guaranteeing public health safety and minimizing the risk of epidemic resurgence. It assesses key advantages and limits in supporting both individual decision-making and policy-making, considering the role of human behaviour. Specifically, an online survey carried out in Italy revealed user preferences for DPTTs and provided preliminary data for an SEIR (Susceptible–Exposed–Infectious–Recovered) epidemiological model. This was developed to evaluate the impact of DDEIS on COVID-19 spread dynamics, and results are presented together with an evaluation of potential drawbacks.
Dario Esposito; Giovanni Dipierro; Alberico Sonnessa; Stefania Santoro; Simona Pascazio; Irene Pluchinotta. Data-Driven Epidemic Intelligence Strategies Based on Digital Proximity Tracing Technologies in the Fight against COVID-19 in Cities. Sustainability 2021, 13, 644 .
AMA StyleDario Esposito, Giovanni Dipierro, Alberico Sonnessa, Stefania Santoro, Simona Pascazio, Irene Pluchinotta. Data-Driven Epidemic Intelligence Strategies Based on Digital Proximity Tracing Technologies in the Fight against COVID-19 in Cities. Sustainability. 2021; 13 (2):644.
Chicago/Turabian StyleDario Esposito; Giovanni Dipierro; Alberico Sonnessa; Stefania Santoro; Simona Pascazio; Irene Pluchinotta. 2021. "Data-Driven Epidemic Intelligence Strategies Based on Digital Proximity Tracing Technologies in the Fight against COVID-19 in Cities." Sustainability 13, no. 2: 644.
In this paper we describe all the field operations and the robust post-processing proceduresto determine the height of the new absolute gravimetric station purposely selected to belong to a new absolute gravimetric network and located in the Science Faculty of the L’Aquila University. This site has been realized indoor in the Geomagnetism laboratory, so that the height cannot be measured directly, but linking it to the GNSS antenna of AQUI benchmark located on the roof of the same building, by a classical topographic survey. After the topographic survey, the estimated height difference between AQUI and the absolute gravimetric site AQUIgis 14.9700.003 m. At the epoch of the 2018 gravimetric measures, the height of AQUI GNSS station was 712.9740.003 m, therefore the estimated ellipsoidalheight of the gravimetric site at the epoch of gravity measurements is 698.0040.005 m. Absolute gravity measurements are referred to the equipotential surface of gravity field, so that the knowledge of the geoidal undulation at AQUIg allows us to infer the orthometric height as 649.32 m.
Marco Fortunato; Augusto Mazzoni; Giovanna Berrino; Filippo Greco; Federica Riguzzi; Alberico Sonnessa. Indoor height determination of the new absolute gravimetric station of L'Aquila. Annals of Geophysics 2020, 63, 08 .
AMA StyleMarco Fortunato, Augusto Mazzoni, Giovanna Berrino, Filippo Greco, Federica Riguzzi, Alberico Sonnessa. Indoor height determination of the new absolute gravimetric station of L'Aquila. Annals of Geophysics. 2020; 63 (Vol 63 (20):08.
Chicago/Turabian StyleMarco Fortunato; Augusto Mazzoni; Giovanna Berrino; Filippo Greco; Federica Riguzzi; Alberico Sonnessa. 2020. "Indoor height determination of the new absolute gravimetric station of L'Aquila." Annals of Geophysics 63, no. Vol 63 (20: 08.
The aim of this work is to provide a review of the main indoor positioning methodologies, in order to evidence their strengths and weaknesses, and explore the potential of the integration in an Unmanned Ground Vehicle built for tunnel monitoring purposes. A robotic platform, named Bulldog, has been designed and assembled by Sipal S.p.a., with the support of the research group Applied Geomatic laboratory (AGlab) of the Politecnico di Bari, in the definition of the data processing pipeline. Preliminary results show that the integration of indoor positioning techniques in the Bulldog platform represents an important advance for accurate monitoring and analysis of a tunnel during the construction stage, allowing a fast and reliable survey of the indoor environment and requiring, at this prototypal stage of development, only a remote supervision by the operator. Expected improvements will allow to carry out tunnel monitoring activities in a fully autonomous mode, bringing benefit for the safety of people involved in the construction works and the accuracy of the acquired dataset.
Alberico Sonnessa; Mirko Saponaro; Vincenzo Saverio Alfio; Alessandra Capolupo; Adriano Turso; Eufemia Tarantino. Indoor Positioning Methods – A Short Review and First Tests Using a Robotic Platform for Tunnel Monitoring. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 12252, 664 -679.
AMA StyleAlberico Sonnessa, Mirko Saponaro, Vincenzo Saverio Alfio, Alessandra Capolupo, Adriano Turso, Eufemia Tarantino. Indoor Positioning Methods – A Short Review and First Tests Using a Robotic Platform for Tunnel Monitoring. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; 12252 ():664-679.
Chicago/Turabian StyleAlberico Sonnessa; Mirko Saponaro; Vincenzo Saverio Alfio; Alessandra Capolupo; Adriano Turso; Eufemia Tarantino. 2020. "Indoor Positioning Methods – A Short Review and First Tests Using a Robotic Platform for Tunnel Monitoring." Transactions on Petri Nets and Other Models of Concurrency XV 12252, no. : 664-679.
The presented paper describes the ReSCUDE project, developed by the Department of Civil, Environmental, Land, Construction and Chemistry (DICATECh) of the Polytechnic University of Bari under the grant Attraction and International Mobility, of the Italian Ministry of Education, University and Research. The project focuses on the evaluation of the effects of Slow-Onset Disasters (SODs), and Rapid Onset Disasters (RODs) on historic town centres. To this end, an integrated approach based on innovative geomatics, building techniques and advanced behavioural models, is being applied to the old town built area of Ascoli Satriano (FG) and Molfetta (BA) in the Apulia Region (Italy). Over the next three years, the ResCUDE project will allow to perform in-depth analyses on the historic built environment of the identified case studies, fostering the processes of its knowledge, assessment, control, management and design, in connection to the risks deriving from ROD and SOD events. The expected outputs will be useful to define possible scenarios for civil defence purposes and undertake actions aimed at risk mitigation.
Alberico Sonnessa; Elena Cantatore; Dario Esposito; Francesco Fiorito. A Multidisciplinary Approach for Multi-risk Analysis and Monitoring of Influence of SODs and RODs on Historic Centres: The ResCUDE Project. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 12252, 752 -766.
AMA StyleAlberico Sonnessa, Elena Cantatore, Dario Esposito, Francesco Fiorito. A Multidisciplinary Approach for Multi-risk Analysis and Monitoring of Influence of SODs and RODs on Historic Centres: The ResCUDE Project. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; 12252 ():752-766.
Chicago/Turabian StyleAlberico Sonnessa; Elena Cantatore; Dario Esposito; Francesco Fiorito. 2020. "A Multidisciplinary Approach for Multi-risk Analysis and Monitoring of Influence of SODs and RODs on Historic Centres: The ResCUDE Project." Transactions on Petri Nets and Other Models of Concurrency XV 12252, no. : 752-766.