NOVEL ACCESSIBILITY METRICS BASED ON HIERARCHICAL DECOMPOSITION OF TRANSPORT NETWORKS

Scientific analysis of public transport systems at the urban, regional, and national levels is vital in this contemporary, highly connected world. Quantifying the accessibility of nodes (locations) in a transport network is considered a holistic measure of transportation and land use and an important research area. In recent years, complex networks have been employed for modeling and analyzing the topology of transport systems and services networks. However, the design of network hierarchy-based accessibility measures has not been fully explored in transport research. Thus, we propose a set of three novel accessibility metrics based on the k-core decomposition of the transport network. Core-based accessibility metrics leverage the network topology by eliciting the hierarchy while accommodating variations like travel cost, travel time, distance, and frequency of service as edge weights. The proposed metrics quantify the accessibility of nodes at different geographical scales, ranging from local to global. We use these metrics to compute the accessibility of geographical locations connected by air transport services in India. Finally, we show that the measures are responsive to changes in the topology of the transport network by analyzing the changes in accessibility for the domestic air services network for both pre-covid and post-covid times. © 2023 Faculty of Transport and Aviation Engineering, Silesian University of Technology. All rights reserved.

Sinus, middle-ear and mastoid radiological findings of severe acute respiratory syndrome coronavirus-2.

OBJECTIVE: To assess the incidence of radiological inflammation within the paranasal sinuses, middle ear and mastoid in patients with confirmed severe acute respiratory syndrome coronavirus-2. METHODS: A retrospective cohort study was conducted to examine consecutive adults (aged over 18 years) with coronavirus disease 2019 (confirmed on polymerase chain reaction within 7 days of imaging) who underwent computed tomography of the head between 1 March 2020 and 24 June 2020. Lund-Mackay and mastoid and middle-ear opacification scores were used to categorise the extent of sinus and mastoid opacification on axial and coronal computed tomography images. RESULTS: Of 147 patients originally identified, only 83 met the inclusion criteria. Sinus opacification was present in 51.8 per cent of patients (n = 43), and middle-ear or mastoid opacification was observed in 24.1 per cent (n = 20). There was no statistically significant difference in sinus or middle-ear and mastoid opacification between patients after stratification based on 30-day all-cause mortality. CONCLUSION: Radiological computed tomography findings suggest mild mucosal disease within the sinuses, middle ear and mastoid. There was no statistical correlation between such opacification and 30-day mortality.