EpiCore: Crowdsourcing Health Professionals to Verify Disease Outbreaks

EpiCore draws on the knowledge of a global community of human, animal, and environmental health professionals to verify information on disease outbreaks in their geographic regions. By using innovative surveillance techniques and crowdsourcing these experts, EpiCore enables faster global outbreak detection, verification, and reporting

July 27, 2017

Predicting Acute Respiratory Infections from Participatory Data

ARIs have epidemic and pandemic potential. Prediction of presence of ARIs from individual signs and symptoms in existing studies have been based on clinically-sourced data. Clinical data generally represents the most severe cases, and those from locations with access to healthcare institutions. Thus, the viral information that comes from clinical sampling is insufficient to either capture disease incidence in general populations or its predictability from symptoms.

August 03, 2017

Rapidly Adapting Flexible Surveillance Systems for Emergent Event Response

Georgia Department of Public Health (DPH) epidemiologists have responded to multiple emergent outbreaks with diverse surveillance needs. During the 2009 H1N1 influenza response, it was necessary to electronically integrate multiple reporting sources and view population-level data, while during the 2014–2015 West African Ebola epidemic, it was necessary to easily collect and view individual level data from travelers to facilitate early detection of potential imported Ebola disease.

August 03, 2017

Modeling surveillance networks for Human African Trypanosomiasis control in Northern Uganda

The multiple forms of Human African Trypanosomiasis (human T.b. gambiense and zoonotic T.b. rhodesiense, as well as the several strains which cause disease in animals) that occur in Uganda make coordinating the scientific and developmental, human and animal, social and economic systems influencing their control particularly complex. Uganda is one of the only countries in Africa that has experienced largescale, debilitating outbreaks of HAT, and co-ordinated major control programmes.

October 05, 2017

Triage Notes in Syndromic Surveillance – A Double Edged Sword

The advent of Meaningful Use (MU) has allowed for the expansion of data collected at the hospital level and received by public health for syndromic surveillance. The triage note, a free text expansion on the chief complaint, is one of the many variables that are becoming commonplace in syndromic surveillance data feeds. Triage notes are readily available in many ED information systems, including, but not limited to, Allscripts, Cerner, EPIC, HMS, MedHost, Meditech, and T-System.

September 20, 2017

Investigating a Syndromic Surveillance Signal with Complimentary Data Systems

From June 4-8, 2015, the New York City (NYC) syndromic surveillance system detected five one-day citywide signals in sales of over-the-counter (OTC) antidiarrheal medications using the CUSUM method with a 56-day moving baseline. The OTC system monitors sales of two classes of antidiarrheal medications, products with loperamide or bismuth, from two NYC pharmacy chains. To determine if this increase reflected a concerning cluster of diarrheal illness, we examined multiple communicable disease surveillance data systems.


October 10, 2017

Is There a Need for One Health Surveillance (OHS)?

As interest in One Health (OH) continues to grow, alternative surveillance infrastructure may be needed to support it. Since most population health surveillance is domain specific; as opposed to OH which crosses multiple domains, changes to surveillance infrastructure may be required to optimize OH practice. For change to occur there must be a strong motivation that propagates from a perceived need.

October 10, 2017

Addressing Health Equity Through Data Collection and Linked Disease Surveillance

In 2012, half of all adults in the US had one or more chronic health conditions; at least 25% had two or more chronic health conditions. Seven of the top ten causes of death in 2010 were chronic diseases; two of the seven chronic diseases, heart disease and cancer, account almost for over 50% of all deaths. Chronic disease is one of the most costly contributors in healthcare expenditures; once diagnosed many patients must be followed for a lifetime. In lower-income countries chronic disease is now the biggest contributor to mortality.

August 07, 2017

An Exploration of Public Events and Alcohol Related Incidents

Champaign County is one of the largest counties in central Illinois with a population of ~207,000 and is home to the University of Illinois at Urbana-Champaign which currently has 44,500 students. In the fall the university hosts Big Ten football games which have recently been drawing an average attendance of ~45,000 people, many traveling from Chicago or other parts of the Midwest. The twin cities host a number of community events and festivals throughout the Spring and Summer. Typically the community festivals have liquor licenses whereas no alcohol is served in the football stadium.

August 22, 2017

Developing the Scalable Data Integration for Disease Surveillance (SDIDS) Platform

Electronic data that could be used for global health surveillance are fragmented across diseases, organizations, and countries. This fragmentation frustrates efforts to analyze data and limits the amount of information available to guide disease control actions. In fields such as biology, semantic or knowledge-based methods are used extensively to integrate a wide range of electronically available data sources, thereby rapidly accelerating the pace of data analysis.

August 28, 2017


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