Escape Path Obstacle-Based Mobility Model (EPOM) for Campus Delay-Tolerant Network

In Delay-Tolerant Networks (DTNs), humans are the main carriers of mobile devices, signifying that human mobility can be exploited by extracting nodes’ interests, social behavior, and spatiotemporal features for the performance evaluation of DTNs protocols. This paper presents a new mobility model that describes students’ daily activities in a campus environment. Unlike the conventional random walk models, which use a free space environment, our model includes a collision-avoidance technique that generates an escape path upon encountering obstacles of different shapes and sizes that obstruct pedestrian movement. We evaluate the model’s usefulness by comparing the distributions of its synthetic traces with realistic traces in terms of spatial, temporal, and connectivity features of human mobility. Similarly, we analyze the concept of dynamic movement clusters observed on the location-based trajectories of the studied real traces. The model synthetically generates traces with the distribution of the intercluster travel distance, intracluster travel distance, direction of movement, contact duration, intercontact time, and pause time similar to the distribution of real traces.

Geographical Access to Child and Family Healthcare Services and Hospitals for Africa-Born Migrants and Refugees in NSW, Australia; A Spatial Study

Background: African-born migrants and refugees arriving from fragile states and countries with political and economic challenges have unique health needs requiring tailored healthcare services and support. However, there is little investigation into the distribution of this population and their spatial access to healthcare in Australia. This paper reports on research that aimed to map the spatial distribution of Africa-born migrants from low and lower-middle-income countries (LLMICs) and refugees in New South Wales (NSW) and access to universal child and family health (CFH) services and hospitals. Methods: We analysed the Australian Bureau of Statistics 2016 Census data and Department of Social Services 2018 Settlement data. Using a Geographic Information System mapping software (Caliper Corporation. Newton, MA, USA), we applied data visualisation techniques to map the distribution of Africa-born migrants and refugees relative to CFH services and their travel distance to the nearest service. Results: Results indicate a spatial distribution of 51,709 migrants from LLMICs in Africa and 13,661 refugees from Africa live in NSW, with more than 70% of the total population residing in Sydney. The Africa-born migrant and refugee population in Sydney appear to be well served by CFH services and hospitals. However, there is a marked disparity between local government areas. For example, the local government areas of Blacktown and Canterbury-Bankstown, where the largest number of Africa-born migrants and refugees reside, have more uneven and widely dispersed services than those in Sydney’s inner suburbs. Conclusion: The place of residence and travel distance to services may present barriers to access to essential CFH services and hospitals for Africa-born refugees and migrants. Future analysis into spatial-access disadvantages is needed to identify how access to health services can be improved for refugees and migrants.

Finding Your Way: Shortest Paths on Networks

Traveling to different destinations is a major part of our lives. We visit a variety of locations both during our daily lives and when we are on vacation. How can we find the best way to navigate from one place to another? Perhaps we can test all of the different ways of traveling between two places, but another method is to use mathematics and computation to find a shortest path between them. In this article, we discuss how to construct shortest paths and introduce Dijkstra’s algorithm to minimize the total cost of a path, where the cost may be the travel distance, the travel time, or some other quantity. We also discuss how to use shortest paths in the real world to save time and increase traveling efficiency.

A Longitudinal Comparison of Telemedicine Versus In-Person Otolaryngology Clinic Efficiency and Patient Satisfaction During COVID-19

Objectives: Telemedicine was increasingly adopted in otolaryngology as a result of the COVID-19 pandemic, but how it compares to in-person visits over the longitudinal course of the pandemic has not been characterized. This study compares telemedicine visits to in-person visits on measures of clinical efficiency and patient satisfaction. Methods: We examined all in-person and telemedicine encounters that occurred during the 13-month period from April 1, 2020 to April 30, 2021 at a pediatric otolaryngology clinic associated with a large tertiary care children’s hospital. We compared patient demographics, primary encounter diagnoses, completions, cancellations, no-shows, cycle time, and patient satisfaction. Results: A total of 19 541 (90.5%) in-person visits and 2051 (9.5%) telemedicine visits were scheduled over the study period. There was no difference in patient age or gender between the visit types. There was a difference in race (75% White or Caucasian for in-person and 73% for telemedicine, P = .007) and average travel distance (53.3 miles for in-person vs 71.0 for telemedicine, P = .000). The most common primary diagnosis was Eustachian tube dysfunction for in-person visits (11.8%) and sleep disordered breathing for telemedicine visits (13.7%). Completion rate was greater for telemedicine visits (52.4% in-person vs 62.5% telemedicine). Cancellations were greater for in-person visits (42.6% in-person vs 24.2% telemedicine), but no-shows were greater for telemedicine (5.0% in-person vs 13.3% telemedicine, all P = .000). Average cycle time was shorter for telemedicine visits (56.5 minutes in-person vs 47.6 minutes telemedicine, P = .000). Patient satisfaction with provider interactions and overall care experience was high for both visit types. Conclusions: Telemedicine was utilized more during months of heightened COVID-19 cases, with higher completion rates, fewer cancellations, shorter cycle times, saved travel distance, and comparable patient satisfaction to in-person visits. Telemedicine has the potential to remain an efficient mode of care delivery in the post-pandemic era.