Data-Driven Epidemic Intelligence Strategies Based on Digital Proximity Tracing Technologies in the Fight against COVID-19 in Cities

Esposito, Dario; Dipierro, Giovanni; Sonnessa, Alberico; Santoro, Stefania; Pascazio, Simona; Pluchinotta, Irene

doi:10.3390/su13020644

Cited by 11 publications

(8 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Shari et al [33] analyzes the issue of the health care services sector as well as better pandemic management taking advantage of the ability to track, diagnose, supervise and treat patients in cities through smart city solutions (such as arti cial intelligence, IoT and drones). Esposito [34] highlights the existence of a great need for "data-driven solutions for infection tracing and forecasting epidemic trends", which are essential to achieve sustainable and socially resilient cities. Such solutions include DPTT (Digital Proximity Tracing Technology) and DDEIS (Data-Driven Epidemic Intelligence Strategies).…”

Section: Methodsmentioning

confidence: 99%

A Health Issue in Urban Politics After the Pandemic COVID-19 Outbreak

Śleszyński

Legutko-Kobus

Rosenberg

et al. 2022

Preprint

View full text Add to dashboard Cite

Background The aim of this paper is to identify how the literature analyses (identifies, evaluates, forecasts, etc.) the relationship between health issues and urban policy in relation to pandemic COVID-19. Four main levels are identified in these cases: (1) direct demands for change in health care, (2) social issues, (3) spatial organization and (4) redefining the tasks of public authority in the face of the challenges identified. Methods The basic working method used in the study assumed a critical analysis of the literature on the subject. The time scope of the search covered articles from January 2020 to the end of August 2021 (thus covering the period of 3 pandemic waves). Combinations of keywords in the titles were used to search for articles. Results This process of article qualification ultimately yielded 240 articles for analysis. The health perspective pointed out the need to develop a balance between health care and economic costs and the need to coordinate different specialists/spheres of action. Conclusions Such a balance also requires social and spatial analyses, illustrating the diversity of the social situation in individual cities (and more broadly in urbanized areas, including sometimes vast suburbs) and its connection (both in terms of causes and effects) with the intensity of pandemics and other health threats.

show abstract

Section: Methodsmentioning

confidence: 99%

A Health Issue in Urban Politics After the Pandemic COVID-19 Outbreak

Śleszyński

Legutko-Kobus

Rosenberg

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…For example, Mohamadou proposed that the intelligence model constructed by combining COVID-19 data such as “medical images, population movements, and case reports” with artificial intelligence can enhance the understanding of disease transmission and evaluation of preventive measures, so as to detect infected patients early and accurately ( 26 ). Esposito introduced and compared different data-driven epidemiological intelligence strategies (DDEIS) developed based on DPTT, and analyzed the extent to which DDEIS can effectively achieve the goal of quickly returning to normal cities and minimizing the risk of epidemic recurrence ( 27 ). Yin et al fused the continuous mechanisms of Big Data Intelligent Innovation (BDII) into a complex network, and constructed a three-dimensional collaborative epidemic prevention model to reveal the effectiveness of continuous epidemic prevention under different big data intelligent emergency management policy levels ( 28 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Constructing big data prevention and control model for public health emergencies in China: A grounded theory study

Wang

Liu

2023

Front. Public Health

View full text Add to dashboard Cite

Big data technology plays an important role in the prevention and control of public health emergencies such as the COVID-19 pandemic. Current studies on model construction, such as SIR infectious disease model, 4R crisis management model, etc., have put forward decision-making suggestions from different perspectives, which also provide a reference basis for the research in this paper. This paper conducts an exploratory study on the construction of a big data prevention and control model for public health emergencies by using the grounded theory, a qualitative research method, with literature, policies, and regulations as research samples, and makes a grounded analysis through three-level coding and saturation test. Main results are as follows: (1) The three elements of data layer, subject layer, and application layer play a prominent role in the digital prevention and control practice of epidemic in China and constitute the basic framework of the “DSA” model. (2) The “DSA” model integrates cross-industry, cross-region, and cross-domain epidemic data into one system framework, effectively solving the disadvantages of fragmentation caused by “information island”. (3) The “DSA” model analyzes the differences in information needs of different subjects during an outbreak and summarizes several collaborative approaches to promote resource sharing and cooperative governance. (4) The “DSA” model analyzes the specific application scenarios of big data technology in different stages of epidemic development, effectively responding to the disconnection between current technological development and realistic needs.

show abstract

“…The post-EU mass-migration crisis marks the second wave of checkpoint follow-up audits, which has revealed many socio-technological vulnerabilities of advanced security technologies [9], [10], [11]. The third wave, the COVID-19 pandemic, reveals the gamut of sociotechnological challenges and some particular solutions such as digital-based contact tracing [12], ''selfies'' as a part of contact tracing [13], non-contact and near-field services [14], along with screening using the infrared bands [15].…”

Section: Introductionmentioning

confidence: 99%

Post-Pandemic Follow-Up Audit of Security Checkpoints

et al. 2023

View full text Add to dashboard Cite

This paper provides a follow-up audit of security checkpoints (or simply checkpoints) for mass transportation hubs such as airports and seaports aiming at the post-pandemic R&D adjustments. The goal of our study is to determine biometric-enabled resources of checkpoints for a counter-epidemic response. To achieve the follow-up audit goals, we embedded the checkpoint into the Emergency Management Cycle (EMC) -the core of any doctrine that challenges disaster. This embedding helps to identify the technologysocietal gaps between contemporary and post-pandemic checkpoints. Our study advocates a conceptual exploration of the problem using EMC profiling and formulates new tasks for checkpoints based on the COVID-19 pandemic lessons learned. In order to increase practical value, we chose a case study of face biometrics for an experimental post-pandemic follow-up audit. INDEX TERMSSecurity checkpoints, border control, mass-migration, follow-up audits, biometrics, counter-epidemic measures, post-pandemic, emergency management cycle, self-sovereign identity. NOMENCLATURE EMC Emergency Management Cycle. JHA Justice and Home Affairs. IR Infrared. R&D Research and Development. SSI Self-Sovereign Identity. Biosecurity Measures to mitigate the risks. of infectious diseases. Distributed ledger A database spreading across multiple sites or institutions. Vaccination passport A personal digital counter-epidemic certificate. Periocular biometric Area of a face around the eyes. The associate editor coordinating the review of this manuscript and approving it for publication was Vincenzo Conti .

show abstract

Data-Driven Epidemic Intelligence Strategies Based on Digital Proximity Tracing Technologies in the Fight against COVID-19 in Cities

Cited by 11 publications

References 57 publications

A Health Issue in Urban Politics After the Pandemic COVID-19 Outbreak

A Health Issue in Urban Politics After the Pandemic COVID-19 Outbreak

Constructing big data prevention and control model for public health emergencies in China: A grounded theory study

Post-Pandemic Follow-Up Audit of Security Checkpoints

Contact Info

Product

Resources

About