Assessing the Usage of Dating Sites and Social Networking Sites in Newly Diagnosed HIV Positive Men Who Have Sex with Men (MSM) in Harris County, Texas, 2014

Internet based technologies are becoming quite prominent among today’s generation due to its easy accessibility through computer or phone devices. Internet’s relative anonymity leads high risk groups to find it easier to meet sexual partners with similar characteristics through dating sites like Grindr, Jack’D, Adams4Adams etc. and mainstream social networking sites like Facebook, Twitter, or Instagram. According to various studies, young MSMs prefer to use dating sites and social networking sites more as a source to meet sexual partners than older MSMs.

August 23, 2017

Cancer Health Disparities in Southeastern Wisconsin

Advanced cancer treatments and research have been helping reduce cancer mortality nationally and in Wisconsin. However, chronic health disparities in cancer remain a major public health concern as not all population subgroups have equal accesses to these healthcare benefits. Previous cancer studies showed that cancer health disparities persisted among racial populations had primarily focused on the entire state of Wisconsin.

August 23, 2017

Early Estimation of the Basic Reproduction Number Using Minimal Outbreak Data

The basic reproduction number represents the number of secondary infections expected to be caused by an infectious individual introduced into an entirely susceptible population. It is a fundamental measure used to characterize infectious disease outbreaks and is essential in developing mathematical models to determine appropriate interventions. Much work has been done to investigate methods for estimating the basic reproduction number during the early stages of infectious disease outbreaks.

August 28, 2017

Enhancing EpiCenter Data Quality Analytics with R

The EpiCenter syndromic surveillance platform currently uses Java libraries for time series analysis. Expanding the data quality capabilities of EpiCenter requires new analysis methods. While the Java ecosystem has a number of resources for general software engineering, it has lagged behind on numerical tools. As a result, including additional analytics requires implementing the methods de novo.

August 29, 2017

Identifying Depression-Related Tweets from Twitter for Public Health Monitoring

Major depressive disorder has a lifetime prevalence of 16.6% in the United States. Social media platforms – e.g. Twitter, Facebook, Reddit – are potential resources for better understanding and monitoring population-level mental health status over time. Based on DSM-5 diagnostic criteria, our research aims to develop a natural language processing-based system for monitoring major depressive disorder at the population-level using public social media data.


October 10, 2017

Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter

The success of public health campaigns in decreasing or eliminating the burden of vaccine-preventable diseases can be undermined by media content influencing vaccine hesitancy in the population. A tool for tracking and describing the ever-growing platforms for such media content can help decide how and where to invest in campaigns to increase public confidence in vaccines.

September 01, 2017

Performance of Early Outbreak Detection Algorithms in Public Health Surveillance from a Simulation Study

Early detection of outbreaks is crucial in public health surveillance in order to enable rapid control measures. Statistical methods are widely used for outbreak detection but no study has proposed to evaluate and compare thoroughly the performance of these methods.


Evaluate the performance of 8 statistical methods for outbreak detection in health surveillance with historical data.

September 01, 2017

Infectious Disease Forecast Modeling

Materials associated with the Analytic Solutions for Real-Time Biosurveillance: Infectious Disease Forecast Modeling consultancy held October 29-30, 2015 in Falls Church, Virginia.

Problem Summary

March 23, 2017

Infectious Disease Forecast Modeling

Use for the Analytic Solutions for Real-Time Biosurveillance: Infectious Disease Forecast Modeling consultancy held October 29-30, 2015 in Falls Church, Virginia.

Problem Summary

March 24, 2017

National Syndromic Surveillance Program (NSSP) BioSense Data Quality Workgroup

To provide community input on data quality issues and enhance data quality through sharing and testing of scripts.

Summary of activities:

The Data Quality workgroup has worked to address Data Quality issues through the development, sharing and testing of scripts. The Data Quality workgroup formed a DQ EHR-Vendor Concern Subcommittee to address issues across vendors nationwide. 

March 13, 2017


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