scholarly journals 300. Drug Use Characteristics and Hepatitis C Antibody Prevalence in Southern Illinois

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S162-S162
Author(s):  
Kali Defever ◽  
Sarah L Patrick ◽  
Jennifer E Layden ◽  
Scott Fletcher ◽  
Brent Van Ham ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Networks ◽  
Social Network ◽  
Hepatitis C ◽  
Drug Use ◽  
Age Distribution ◽  
Network Size ◽  
Rapid Screening ◽  
The Past ◽  
Hcv Antibody

Abstract Background Hepatitis C virus (HCV) infection rates have increased among younger, rural persons nationally. We report on a preliminary sample of a study examining HCV acquisition risk factors among rural persons who inject drugs (PWID) or person who use opioids (PWUO) non-medically. Methods We used respondent-driven sampling (RDS) to recruit PWID/PWUO in southern, rural Illinois as part of a larger study on infectious disease rates among social networks of PWID and illicit opioid users. Participants were surveyed regarding drug and sexual risk behavior, healthcare access, stigma, and social networks, and underwent rapid screening for HCV (OraQuickÒ HCV Rapid Antibody Test) and other infections. Using R software, we generated descriptive statistics to characterize HCV prevalence. Results Between July 2018 and April 2019,135 current PWID/PWUO were recruited, screened, and surveyed (58.5% male; 82.2% white; mean age 40.1 years). HCV rapid tests detected antibodies (HCV+) among 53 of 112 screened (47.3%). HCV+ participants were more likely to be white (96.2% vs. 83.1%, P = 0.006) than HCV antibody negative (HCV-) participants and showed a bimodal age distribution with peaks in the 25–30 and 45–50 age ranges. Reported injection drug use and heroin use in the past 30 days was significantly more common among HCV+ participants (96.2% vs. 72.9%, P = 0.001, and 12.9 vs. 7.9 days, P = 0.024) While HCV+ participants less frequently used methamphetamine compared with HCV -participants, the use of that drug was still high in both groups (11.9 vs. 18.4 days of use in the past 30 days, P = 0.01). HCV+ participants reported fewer social network members than HCV- participants (2.2 vs. 3.0, P = 0.048). Conclusion In this analysis of a preliminary sample, HCV exposure was high; with those positive for HCV antibody showing a bimodal age distribution, high frequency of multiple drug use, and smaller social network size compared with HCV negative counterparts. Upon RDS-based enrollment completion and pending analysis we will further examine HIV RNA status as well as the specific associations between network size and other risk factors that may inform disease screening and treatment interventions. Disclosures All authors: No reported disclosures.

scholarly journals EXPRESS: People With Larger Social Networks Show Poorer Voice Recognition

2021 ◽  
pp. 174702182110307
Author(s):  
Shiri Lev-Ari
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Voice Recognition ◽  
Recognition Task ◽  
Network Size ◽  
The Other ◽  
Linguistic Markers ◽  
The Past ◽  
Social Network Size ◽  
British Sample

The way we process language is influenced by our experience. We are more likely to attend to features that proved to be useful in the past. Importantly, the size of individuals’ social network can influence their experience, and consequently, how they process language. In the case of voice recognition, having a larger social network might provide more variable input and thus enhance the ability to recognize new voices. On the other hand, learning to recognize voices is more demanding and less beneficial for people with a larger social network as they have more speakers to learn yet spend less time with each. This paper tests whether social network size influences voice recognition, and if so, in which direction. Native Dutch speakers listed their social network and performed a voice recognition task. Results showed that people with larger social networks were poorer at learning to recognize voices. Experiment 2 replicated the results with a British sample and English stimuli. Experiment 3 showed that the effect does not generalize to voice recognition in an unfamiliar language suggesting that social network size influences attention to the linguistic rather than non-linguistic markers that differentiate speakers. The studies thus show that our social network size influences our inclination to learn speaker-specific patterns in our environment, and consequently the development of skills that rely on such learned patterns, such as voice recognition.

scholarly journals An Information Recommendation Technique Based on Influence and Activeness of Users in Social Networks

2021 ◽  
Vol 11 (6) ◽  
pp. 2530
Author(s):  
Minsoo Lee ◽  
Soyeon Oh
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Recommendation Systems ◽  
Network Services ◽  
The Past ◽  
User Behaviors ◽  
User Influence ◽  
User Activity ◽  
Information Recommendation ◽  
Social Network Services

Over the past few years, the number of users of social network services has been exponentially increasing and it is now a natural source of data that can be used by recommendation systems to provide important services to humans by analyzing applicable data and providing personalized information to users. In this paper, we propose an information recommendation technique that enables smart recommendations based on two specific types of analysis on user behaviors, such as the user influence and user activity. The components to measure the user influence and user activity are identified. The accuracy of the information recommendation is verified using Yelp data and shows significantly promising results that could create smarter information recommendation systems.

scholarly journals 1065. Hepatitis C Virus Care Cascade Assessment–One Step Closer to Micro-Elimination

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S561-S562
Author(s):  
Jehan F Chowdhury ◽  
Anna Winston ◽  
Tanya Zeina ◽  
Hong Gi Shim ◽  
Tine Vindenes
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Drug Use ◽  
Sustained Viral Response ◽  
The United States ◽  
World Health ◽  
Viral Response ◽  
Care Cascade ◽  
Care Gaps ◽  
Hcv Antibody

Abstract Background Hepatitis C virus (HCV) is a leading cause of advanced liver disease and death. In the United States about 3.5 million people are living with HCV, but only 50% are aware of the infection, 16% are prescribed treatment, and only 9% achieve sustained viral response. The World Health Organization published an HCV elimination goal for 2030 that strives to achieve a 65% reduction in HCV-related deaths and 90% reduction in transmission. An important step toward this goal is micro-elimination at local hospitals by addressing care gaps in the HCV care cascade. Figure 1 Methods We created a retrospective cohort of patients who tested positive for HCV antibody (HCV Ab+) between 2016 and 2018 at Tufts Medical Center in Boston, Massachusetts. We assessed achievement of care cascade steps including HCV viral load (VL) testing, linkage to care, treatment initiation, and sustained viral response (SVR). We also assessed patient demographics, clinical factors and HCV risk factors. We used STATA/IC 14.1 to conduct bivariate analysis to identify factors associated with loss to follow-up across each care cascade step. Results A total of 24,308 HCV antibody tests were done during this timeframe, of which 5% (n=1,222) were HCV Ab+. After excluding duplicate tests, 1,041 unique patients with HCV Ab+ were included. This cohort had a mean age of 47 years and were 61% male, 66% white, 72% on public insurance, 12% HIV-positive, 13% HCV treatment-experienced. The most frequent HCV risk factor was injection drug use, occurring in 64% of patients. Of patients with HCV Ab+, 76% (n=791) were tested for an HCV VL, of which 50% (n=393) had detectable VL and 50% (n=398) had undetectable VL. Of the patients with a detectable VL, 58% (n=226) were linked with care. Following care linkage, 69% (n=155) initiated treatment, of which 90% (n=139) completed treatment, of which 97% (n=135) achieved SVR (Figure 1). Factors that were significantly associated with getting a VL test and linking to care included private insurance, HIV co-infection, absence of intravenous drug use and cirrhosis; however, these factors were not significantly associated with achieving subsequent steps. Conclusion Assessment of the HCV care cascade at our hospital allowed us to identify clear care gaps and areas needing improvement towards a local micro-elimination. Disclosures All Authors: No reported disclosures

Why Do High-Status People Have Larger Social Networks? Belief in Status-Quality Coupling as a Driver of Network-Broadening Behavior and Social Network Size

2020 ◽  
Author(s):  
Jiyin Cao ◽  
Edward Bishop Smith
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Status ◽  
Positive Association ◽  
Network Size ◽  
High Status ◽  
Discussion Section ◽  
Social Network Size ◽  
Tightly Coupled ◽  
The Relationship

Previous research has demonstrated that the size and reach of people’s social networks tend to be positively related to their social status. Although several explanations help to account for this relationship—for example, higher-status people may be part of multiple social circles and therefore have more social contacts with whom to affiliate—we present a novel argument involving people’s beliefs about the relationship between status and quality, what we call status-quality coupling. Across seven separate studies, we demonstrate that the positive association between social status and network-broadening behavior (as well as social network size) is contingent on the extent to which people believe that status is a reliable indicator of quality. Across each of our studies, high- and low-status people who viewed status and quality as tightly coupled differed in their network-broadening behaviors, as well as in the size of their reported social networks. The effect was largely driven by the perceived self-value and perceived receptivity of the networking target. Such differences were significantly weaker or nonexistent among equivalently high- and low-status people who viewed status as an unreliable indicator of quality. Because the majority of participants—both high- and low-status—exhibited beliefs in status-quality coupling, we conclude that such a belief marks an important and previously unaccounted-for driver of the relationship between status, network-broadening behaviors, and social networks. Implications for research on social capital, advice seeking, and inequality are highlighted in the discussion section.

Social Networks and Crime: Pitfalls and Promises for Advancing the Field

2019 ◽  
Vol 2 (1) ◽  
pp. 99-122 ◽  
Author(s):  
Katherine Faust ◽  
George E. Tita
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Potential Measurement ◽  
Fully Integrated ◽  
Social Network Data ◽  
The Past ◽  
Dynamic Social Network ◽  
Criminological Research ◽  
The Social ◽  
Criminological Theories

Over the past decade, a considerable literature has emerged within criminology stemming from the collection of social network data and the adoption of social network analysis by a cadre of scholars. We review recent contributions to four areas of crime research: co-offending networks, illicit networks, gang-rivalry networks, and neighborhoods and crime. Our review highlights potential pitfalls that one might encounter when using social networks in criminological research and points to fruitful directions for further research. In particular, we recommend paying special attention to the clear specifications of what ties in the network are assumed to be doing, potential measurement weaknesses that can arise when using police or investigative data to construct a network, and understanding dynamic social network processes related to criminological outcomes. We envision a bright future in which the social network perspective will be more fully integrated into criminological theories, analyses, and applications.

scholarly journals Head-to-Head Comparison of Social Network Assessments in Stroke Survivors

2020 ◽  
Vol 11 (1) ◽  
pp. 18-24
Author(s):  
Morgan Prust ◽  
Abby Halm ◽  
Simona Nedelcu ◽  
Amber Nieves ◽  
Amar Dhand
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Network ◽  
Social Isolation ◽  
Network Structure ◽  
Network Size ◽  
Personal Network ◽  
Mapping Tool ◽  
Social Network Structure ◽  
Network Mapping

Background and Purpose: Social networks influence human health and disease through direct biological and indirect psychosocial mechanisms. They have particular importance in neurologic disease because of support, information, and healthy behavior adoption that circulate in networks. Investigations into social networks as determinants of disease risk and health outcomes have historically relied on summary indices of social support, such as the Lubben Social Network Scale–Revised (LSNS-R) or the Stroke Social Network Scale (SSNS). We compared these 2 survey tools to personal network (PERSNET) mapping tool, a novel social network survey that facilitates detailed mapping of social network structure, extraction of quantitative network structural parameters, and characterization of the demographic and health parameters of each network member. Methods: In a cohort of inpatient and outpatient stroke survivors, we administered LSNS-R, SSNS, and PERSNET in a randomized order to each patient. We used logistic regression to generate correlation matrices between LSNS-R scores, SSNS scores, and PERSNET’s network structure (eg, size and density) and composition metrics (eg, percent kin in network). We also examined the relationship between LSNS-R-derived risk of social isolation with PERSNET-derived network size. Results: We analyzed survey responses for 67 participants and found a significant correlation between LSNS-R, SSNS, and PERSNET-derived indices of network structure. We found no correlation between LSNS-R, SSNS, and PERSNET-derived metrics of network composition. Personal network mapping tool structural and compositional variables were also internally correlated. Social isolation defined by LSNS-R corresponded to a network size of <5. Conclusions: Personal network mapping tool is a valid index of social network structure, with a significant correlation to validated indices of perceived social support. Personal network mapping tool also captures a novel range of health behavioral data that have not been well characterized by previous network surveys. Therefore, PERSNET offers a comprehensive social network assessment with visualization capabilities that quantifies the social environment in a valid and unique manner.

scholarly journals Differences in anxieties and social networks in a group-matched sample of autistic and typically developing students transitioning to university

Autism ◽  
2019 ◽  
Vol 24 (5) ◽  
pp. 1138-1151
Author(s):  
Jiedi Lei ◽  
Chris Ashwin ◽  
Mark Brosnan ◽  
Ailsa Russell
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Anxiety ◽  
Autistic Traits ◽  
Network Size ◽  
Typically Developing ◽  
Social Network Size ◽  
Social Network Structure ◽  
Matched Design ◽  
The Relationship

Transitioning to university can be anxiety-provoking for all students. The relationship between social anxiety, autistic traits and students’ social network structure, and perceived support is poorly understood. This study used a group-matched design where autistic students ( n = 28) and typically developing students ( n = 28) were matched on sex, age (17–19 years), ethnicity, pre-university academic performance and degree subject at university. Autistic students reported greater transition to university worries, and a smaller social network size compared to typically developing students, though perceived similar levels of support from their social networks. Autistic and typically developing students showed differential patterns of association with both autistic traits and social anxiety. Broader clinical and practical implications of findings are discussed.

scholarly journals P.135 Epidemiology of spine infection in patients with history of IV drug use and HIV infection. Possibility of the secondary prevention

2016 ◽  
Vol 43 (S2) ◽  
pp. S51-S51
Author(s):  
K Meguro ◽  
R Meili ◽  
B Pirlot ◽  
U Ahmad
Keyword(s):  
Risk Factors ◽  
Hepatitis C ◽  
Drug Use ◽  
Secondary Prevention ◽  
Hiv Infection ◽  
Epidural Abscess ◽  
Spine Infection ◽  
Term Care ◽  
Number Of Patients ◽  
Iv Drug Use

Background: One of the major risk factors for spine infection is IV drug use and HIV infection. An increase in these risk factors has coincided with increased rates of spinal infection in Saskatchewan. However, the exact incidence and the clinical significance of spine infection associated with high-risk behavior is poorly understood. Methods: A retrospective review was completed for adult patients with discitis, osteomyelitis, or epidural abscess admitted to the Royal University Hospital, University of Saskatchewan over the last eight years. Results: This study included 176 patients consisting of 41% with discitis, 69% with osteomyelitis and 45% with epidural abscess. Overall mortality was 3% and 16% of patients developed severe disability.40% of patients were intravenous drug users, 45% were hepatitis C positive and 12% were HIV positive. For the initial four years of our study we experienced 72 patients. We experienced 91 cases over the past four years. Geographical analysis showed high incidence areas within the city of Saskatoon. Conclusions: High rates of IV drug use, Hepatitis C, and HIV have important implications in terms of what measures would assist in prevention of this condition. Secondary prevention or early identification of patients may reduce the number of patients who require lengthy admission, surgery and long term care for disablity.

scholarly journals Non -fatal overdose among people who inject drugs in Tehran, Iran

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Mehdi Noroozi ◽  
Peter Higgs ◽  
Azadeh Bayani ◽  
Bahram Armoon ◽  
Ali Nazeri Astaneh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Drug Use ◽  
People Who Inject Drugs ◽  
Statistical Significance ◽  
Cross Sectional Survey ◽  
The Past ◽  
Fatal Overdose ◽  
Increased Risk ◽  
Associated Risk Factors ◽  
Multiple Drugs

Abstract Background With increasing frequencies of non-fatal overdose in people who inject drugs (PWID), it is essential to improve our knowledge about associated risk factors for overdose to inform overdose prevention and assistance programs. The aim of present study was to determine the prevalence of non-fatal overdose and the associated risk factors among PWID in Tehran, Iran. Methods Snowball sampling was used to collect data from 465 participants in Tehran using a cross-sectional survey. Consenting participants who reported drug injecting in the past month and were able to speak and comprehend Farsi enough to respond to survey questions were interviewed. The endpoint of interest was non-fatal overdose in the previous 6 months, or answering “Yes” to the question: “In the last six months, have you ever overdosed by accident? (at least once)”. We used STATA v. 14 for this analysis. Statistical significance was defined as p < 0.05 for all analyses. Results Of 465 PWIDs who participated in this study, all were male, and about half had less than a high school education. The prevalence of self-reported non-fatal overdose in the past 6 months was 38% (CI95%: 34, 43%). Our findings indicate that characteristics and behaviors that were associated with an increased risk of experiencing an overdose in the past 6 months were drug use initiation under 22 years (AOR =2.2, P < 0.05), using methamphetamine (AOR =2.8, P < 0.05), and using multiple drugs at the same time (AOR =2.1, P < 0.05). Also, more recent initiates to injecting (< 2 years) had an increased risk of experiencing an overdose in the past 6 months. The odds of experiencing a non-fatal overdose among PWIDs who regularly attended NSP were 0.6 times less than for those who did not attend regularly (OR = 0.6,95% CI: 0.2–0.9). Conclusion Methamphetamine and alcohol use were the most significant association for non-fatal overdose among PWIDs. Our results indicate that intervention and prevention initiatives seeking to reduce overdoses among PWIDs should not only be focused on the primary drug used but also the use of alcohol and poly-drug use.

The diagnosis of hepatitis C in a semi-rural genitourinary medicine clinic

2002 ◽  
Vol 13 (12) ◽  
pp. 847-849
Author(s):  
A R Markos
Keyword(s):  
Risk Factors ◽  
Hepatitis C ◽  
Drug Use ◽  
Sexually Transmitted Infections ◽  
Intravenous Drug Use ◽  
Sex Partners ◽  
Routine Test ◽  
Sexually Transmitted ◽  
History Of ◽  
Genitourinary Medicine

A retrospective casenote study was conducted to examine the risk factors for patients who were diagnosed as hepatitis C (HCV)-positive (between 1999 and 2001) in a semi-rural genitourinary medicine (GUM) setting in Staffordshire, UK. There was a remarkable escalation in the number of reported HCV-positive cases, year on year, in our study. The majority of the positive cases (20/21) gave a history of previous intravenous drug use (IVDU). The incidence of other sexually transmitted infections were reportedly high in our HCV-positive patients. The increasing number of reported HCV-positive cases in the GUM clinic of the semirural Staffordshire setting, may reflect a national pattern that needs further investigations. We advise that HCV serology should be offered to GUM clients (who have a history of IVDU), and to their sex partners. They should also be advised to take tests to exclude other STDs. The case for offering HCV serology as a routine test for patients who request 'the exclusion of STDs' is still undecided.

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