Increasing the number of organ donors may enhance transplantation, and past health interventions have shown potential to generate both large-scale sustainable changes, particularly among minorities.This study aimed propose a conceptual data-driven framework that tracks digital markers public donation awareness using Twitter delivers an optimized social network intervention (SNI) targeted audiences Facebook.We monitored across United States over 1-year period examined their association with...

Abstract Swarm intelligence is the collective behavior emerging in systems with locally interacting components. Because of their self-organization capabilities, swarm-based show essential properties for handling real-world problems, such as robustness, scalability, and flexibility. Yet, we fail to understand why algorithms work well, neither can compare various approaches literature. The absence a common framework capable characterizing these several algorithms, transcending particularities,...

Abstract Background The novel coronavirus pandemic has had a differential impact on communities of color across the US. University California hospital system serves large population people who are often underrepresented elsewhere. Data from stays can provide much-needed localized information risk factors for severe cases and/or death. Methods Patient-level retrospective case series laboratory-confirmed COVID-19 admissions at five UC hospitals (N = 4730). Odds ratios ICU admission, death, and...

More than 40% of the deaths recorded in first wave SARS-CoV-2 pandemic were linked to nursing homes. Not only are residents long-term care facilities (LTCFs) typically older and more susceptible endemic infections, facilities' high degree connection wider communities makes them especially vulnerable local COVID-19 outbreaks. In 2008, wake SARS-CoV-1 MERS epidemics anticipating an influenza pandemic, we created a stochastic compartmental model evaluate deployment non-pharmaceutical...

Swarm-based models have successfully solved real-world problems in the past two decades and yet they continue to exhibit a major shortcoming of premature convergence. Previous research suggests that an appropriate exploitation-exploration balance can prevent convergence different approaches been proposed control this balance. Still, despite several references demonstrating interplay between social interactions swarm behavior, majority works lack network-based assessment level swarm. We...

Approximately 22 people die every day in the USA due to a lack of organs for transplant. Research suggests that most effective solution is increase organ donor rates, current, proposals range from expanding eligibility criteria (donor pool) performing mass media campaigns. However, little known about extent which activities on social are associated with aspects (e.g. awareness) donation. Our hypothesis can be utilized as sensor characterize donation awareness and population engagement each...

Football (aka Soccer) is the most popular sport in world. The popularity of leads to several stories (some perhaps anecdotal) about supporters behaviors and emergence rivalries such as famous Barcelona-Real Madrid (in Spain). Little however has been done characterize/profile online users' football use them an aggregate measure club characterization. Today, availability data enable us understand at a much greater scale if exist there are signatures that can be used characterize supporting...

Higher-than-expected heart failure (HF) readmissions affect half of US hospitals every year. The Hospital Reduction Readmission Program has reduced risk-adjusted readmissions, but it also produced unintended consequences. Shared care models have been advocated for HF care, the association shared networks with never investigated.This study aims to evaluate 30-day excessive readmission rates using a longitudinal observational study.We curated publicly available data on hospital discharges and...

In the last two decades, we have witnessed widespread use of structural analysis data. The area, generally called Network Science, concentrates on understanding complex phenomena by looking for properties that emerge from relationships between pieces data instead traditional mining itself. A commonly used in networks consists finding subgraphs whose density connections within subgraph surpasses outside connections; Community Detection. Many techniques been proposed to find communities as...

The transplantation of solid organs is one the most important accomplishments modern medicine. Yet, organ shortage a major public health issue; 8,000 people died while waiting for an in 2014. Meanwhile, allocation system currently implemented can lead to being discarded and medical community still investigates factors that affects early graft failure such as distance ischemic time. In this paper, we investigate under spatio-temporal perspective using data science unified approach all six...

STRUCTURED ABSTRACT Importance Characterization of a diverse cohort hospitalized with COVID-19 in health care system California is needed to further understand the impact SARS-CoV-2 and improve patient outcomes. Objectives To investigate characteristics patients assess factors associated poor Design Patient-level retrospective study Setting University five academic hospitals. Participants Patients ≥18 years old confirmed test result for SAR-CoV-2 virus at UC Exposure Confirmed severe acute...

Background. Mitochondrial dysfunction is associated with poor allograft prognosis. Mitochondrial-related gene expression (GE) in endomyocardial biopsies (EMBs) could be useful as a nonimmune functional marker of rejection. We hypothesize that acute cardiac rejection decreased mitochondrial-related GE EMBs. Methods. collected 64 routines or clinically indicated EMB from 47 patients after heart transplant. The EMBs were subjected to mRNA sequencing. conducted weighted coexpression network...

Social media has emerged as an effective tool to mitigate preventable and costly health issues with social network interventions (SNIs), but a precision public approach is still lacking improve equity account for population disparities.This study aimed (1) develop SNI framework using control systems engineering the delivery of digital educational behavior change (2) validate increase organ donation awareness in California, taking into underlying developed tested that uses publicly available...

Computational swarm intelligence consists of multiple artificial simple agents exchanging information while exploring a search space. Despite rich literature in the field, with works improving old approaches and proposing new ones, mechanism by which complex behavior emerges these systems is still not well understood. This gap hinders researchers' ability to deal known problems swarms such as premature convergence, balance coordination diversity among agents. Recent advances literature,...

ABSTRACT Objective Using a pandemic influenza model modified for COVID-19, this study investigated the degree of control over pre-symptomatic transmission that common non-pharmaceutical interventions (NPIs) would require to reduce spread in long-term care facilities. Methods We created stochastic compartmental SEIR with Poisson-distributed transition states compared effect R 0 , NPIs, and isolation rates carriers primarily on attack rate, peak cases, timing 200-resident nursing home. Model...

The aim of this study is to describe the prevalence gastroesophageal reflux disease (GERD) in infants under 3 months old with a history cyanotic episodes, who were examined at emergency room university hospital. This descriptive reviews reports esophageal pH monitoring from pediatric gastroenterology service over period 5 years. following data collected: age, sex, as well other specialists' evaluations, and reports. included 67 no primary cause determined by pediatrician underwent...

Computational swarm intelligence has been demonstrably shown to efficiently solve high-dimensional optimization problems due its flexibility, robustness, and (low) computational cost. Despite these features, swarm-based algorithms are black boxes whose dynamics may be hard understand. In this paper, we delve into the Fish School Search (FSS) algorithm by looking at how fish interact within school. We find that network emerging from interactions is structurally invariant of three benchmark...