This paper presents a novel means of collecting and analyzing data related to personal social contact networks. The work developed a custom application for Smartphones that support Bluetooth connectivity, as representative of the ensemble of many consumer electronic products and can be used to infer users' proximity, contact duration, and GPSbased information. In many cases this is augmented by device meta identity. The 3G application, data storage and retrieval is discussed in detail. Preliminary data were collected (devicedevice proximity, duration, and location) gathered in pilot testing on the Blackberry Storm and HTC Hero (Android). Data are presented as distributions and visualization tools for evolving contact graphs, including Pareto distributions and power law exponents generated representative of face to face contacts. Finally, data are then demonstrated to be useful in estimating the potential of infection spread (e.g. respiratory illness), where a key transmission vector is person-person contact. A variant of the standard SIR agent based model is developed, with agent contacts guided by contact distributions extracted from the data.
This paper presents a novel means of collecting and analyzing personal social network data, using 3G Smartphone that support Bluetooth connectivity. The application discovers and logs other close-proximity Bluetooth-discoverable devices, and this can be used to infer individuals' proximity, contact duration, as well as geographical location information. The contact data are presented in terms of distributions and visualization tools for evolving contact graphs. Finally, contact data are then demonstrated to be of utility in estimating the potential of the spread of a contact-based infectious disease, where a vector of transmission is proximity to infected agents.
Paroxysmal nocturnal hemoglobinuria (PNH) is an ultra-orphan disease. We report
the first case in the literature of Off-Pump Coronary Revascularization Using
Bilateral Internal Thoracic Arteries in a patient with paroxysmal nocturnal
hemoglobinuria.
A 36-year-old man came to the emergency department with acute non-ST elevation
myocardial infarction (NSTEMI). He presented paroxysmal nocturnal hemoglobinuria
diagnosed in 2016. Coronary angiography revealed tripple vessel disease.
The conduits used for coronary revascularization were both internal thoracic
arteries (left ITA-right ITA [LITA-RITA]).
We consider that off-pump coronary artery bypass grafting (OPCABG) using
Bilateral Internal Thoracic Arteries (BITA) can be safely performed with low
in-hospital mortality and complications rates, even in patient with PNH.
This paper presents a review and evaluation of real data sources relative to their role and applicability in an agent-based model (ABM) simulating respiratory infection spread a large geographic area. The ABM is a spatial-temporal model inclusive of behavior and interaction patterns between individual agents. The agent behaviours in the model (movements and interactions) are fed by census/demographic data, integrated with real data from a telecommunication service provider (cellular records), traffic survey data, as well as person-person contact data obtained via a custom 3G smartphone application that logs Bluetooth connectivity between devices. Each source provides data of varying type and granularity, thereby enhancing the robustness of the model. The work demonstrates opportunities in data mining and fusion and the role of data in calibrating and validating ABMs. The data become real-world inputs into susceptible-exposed-infected-recovered (SEIR) disease spread models and their variants, thereby building credible and nonintrusive models to qualitatively model public health interventions at the population level.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.