Social Network Analysis across Healthcare Entities, Orange County, FL, 2016

In the realm of public health, there has been an increasing trend in exploration of social network analyses (SNAs). SNAs are methodological and theoretical tools that describe the connections of people, partnerships, disease transmission, the interorganizational structure of health systems, the role of social support, and social capital1.

January 19, 2018

A Piece of the Public Health Surveillance Puzzle: Social Contacts among School-Aged Children

Timely and effective public health decision-making for control and prevention of acute respiratory infectious diseases relies on early disease detection, pathogen properties, and information on contact behavior affecting transmission. However, data on contact behavior are currently limited, and when available are commonly obtained from traditional self-reported contact surveys.

May 30, 2018

Evaluating a Social Network Analytic Tool to Support Outbreak Management and Contact Tracing in an Outbreak of Pertussis

Pertussis (i.e., whooping cough) is on the rise in the US. To implement effective prevention and treatment strategies, it is critical to conduct timely contact tracing and evaluate people who may have come into contact with an infected person. We describe a collaborative effort between epidemiologists and public health informaticists at the Utah Department of Health (UDOH) to determine the feasibility and value of a network-analytic approach to pertussis outbreak management and contact tracing.

Objective: 

March 19, 2018

Establishment of Public-access Syndromic Surveillance System in Taipei City, Taiwan

Taiwan had established a nation-wide emergency department (ED)-based syndromic surveillance system since 2004, with a mean detection sensitivity of 0.67 in 2004-06 [1]. However, this system may not represent the true epidemic situation of infectious disease in community, particularly those who don't seek medical care [2]. Moreover, the epidemiological settings, sources of the infection and social network all together may still facilitate the transmissions. These rooted problems cannot be rapidly solved.

Objective

This study has two specific aims:

May 02, 2019

Leveraging the 'Wisdom of the Crowd' as a BioSurveillance tool

 

With the proliferation of social networks, the web has become a warehouse of patient discussions and reports, estimated at 10 billion records and growing at a rate of 40 percent per year. First Life Research, Ltd. (FLR), has searched and mapped thousands of these discussions and indexed hundreds of millions of reports (currently 960M) and is engaged in building web-based solutions that enable the public and public health practitioners to access massive health-related information and knowledge generated from the crowd.

Objective

May 02, 2019

Novel approach to hypoglycemia surveillance in an international online diabetes social network

Hypoglycemia is a serious sequela of diabetes treatment that is not tracked by current health surveillance efforts despite substantial related morbidity and mortality. We take a novel approach to hypoglycemia surveillance, engaging members of an international online diabetes social network in reporting about this issue as members of a consented, distributed public health research cohort.

 

Objective

To measure the prevalence of hypoglycemic episodes and associated harms among participants in an international, online diabetes social network.

May 02, 2019

Who Should We Be Listening to? Applying Models of User Authority to Detecting Emerging Topics on the EIN

Emerging event detection is the process of automatically identifying novel and emerging ideas from text with minimal human intervention. With the rise of social networks like Twitter, topic detection has begun leveraging measures of user influence to identify emerging events. Twitter's highly skewed follower/followee structure lends itself to an intuitive model of influence, yet in a context like the Emerging Infections Network (EIN), a sentinel surveillance listserv of over 1400 infectious disease experts, developing a useful model of authority becomes less clear.

May 02, 2019

Using AFDL Algorithm to Estimate Risk of Positive Outcomes of Microbial Tests at Food Establishments

One of the common tasks faced by the U.S. Department of Agriculture (USDA) food safety analysts is to estimate the risk of observing positive outcomes of microbial tests of food samples collected at the slaughter and food processing establishments. Resulting risk estimates can be used, among other criteria, to drive allocation of FSIS investigative resources.

July 30, 2018

Incorporating Geographical Contacts into Social Network Analysis for Contact Tracing in Epidemiology: A Study on Taiwan SARS Data

In epidemiology, contact tracing is a process to control the spread of an infectious disease and identify individuals who were previously exposed to patients with the disease. After the emergence of AIDS, SNA was demonstrated to be a good supplementary tool for contact tracing [1]. Traditionally, social networks for disease investigation are constructed only with personal contacts since personal contacts are the most identifiable paths for disease transmission.

July 30, 2018

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