Data Sharing Through Dashboards: The Who, What, Where, When, and Why

Presented April 26, 2019.

Description: Join us for this lightning talk webinar experience where you will see multiple examples of data dashboards and learn more about who they were created for, how they were developed, where and when the data is being shared, and what impact the dashboard has had on improving public health practice. We will hear from 5 presenters from around the public health community as they discuss their work on opioid, flu, and general disease surveillance dashboards.

Presenters addressed the following questions:

April 30, 2019

Turning the Tide on the Opioid Epidemic

Presenters

Susan Robinson, Vaccine-Preventable Disease Epidemiologist, Arizona Department of Health Services

Erica Weis, Injury Prevention Epidemiologist, Arizona Department of Health Services

Background

March 27, 2019

Data capture and visualization for a canine influenza outbreak - New York City, 2018

Data-driven decision-making is a cornerstone of public health emergency response; therefore, a highly-configurable and rapidly deployable data capture system with built-in quality assurance (QA; e.g., completeness, standardization) is critical. Additionally, to keep key stakeholders informed of developments during an emergency, data need to be shared in a timely and effective manner.

June 18, 2019

Dashboards as strategy to integrate multiple data streams for real time surveillance

The mission of the Infectious-Disease-Epidemiology Department at the Robert Koch Institute is the prevention, detection and control of infections in the German population. For this purpose it has a set of surveillance and outbreak-detection systems in place. Some of these cover a wide range of diseases, e.g. the traditional surveillance of about 80 notifiable diseases, while others are specialised for the timely assessment of only one or a few diseases, e.g. participatory syndromic surveillance of acute respiratory infections.

June 18, 2019

Using State and National Surveillance Systems during World Equestrian Games in NC

North Carolina hosted the 2018 FEI WEG in Polk County at the Tryon Equestrian Center in September 2018. Polk County, located in the Mountain region of Western North Carolina, is home to 20,357 people, and the population is widely distributed. Event organizers expected approximately 300,000 to 500,000 people to visit the area, with 800 horses from 71 countries taking part in the games. Providing adequate public health epidemiologic investigations and response for the large scale event in the predominantly rural area presented a challenge.

June 18, 2019

Dashboard Prototype for Improved HIV Monitoring and Reporting for Indiana

In 2015, ISDH responded to an HIV outbreak among persons using injection drugs in Scott County [1]. Information to manage the public health response to this event and aftermath included data from multiple sources (e.g., HIV testing, surveillance, contact tracing, medical care, and HIV prevention activities). During the outbreak, access to timely and accurate data for program monitoring and reporting was difficult for health department staff. Each dataset was managed separately and tailored to the relevant HIV program area’s needs.

June 18, 2019

Interactive Reporting & Dashboards in R Markdown - Intermediate & Advanced

Presented October 23, 2018.

Presenter

Edgar Ruiz is a solution's engineer at RStudio that has a background in deploying enterprise reporting and Business Intelligence solutions. He has posted multiple articles and blog posts sharing analytics insights and server infrastructure for Data Science. He lives with his family near Biloxi, MS. 

October 30, 2018

State Opioid Overdose Surveillance Dashboards

Below are the publicly available opioid overdose surveillance dashboards by U.S. state or territory. This list is updated as of March 7, 2019.

June 22, 2018

Integrating data from disparate data systems for improved HIV reporting: Lessons learned

In 2015, the Indiana State Department of Health (ISDH) responded to a large HIV outbreak among persons who inject drugs (PWID) in Scott County. Information to manage the public health response to this event and its aftermath included data from multiple sources such as surveillance, HIV testing, contact tracing, medical care, and HIV prevention activities. Each dataset was managed separately and had been tailored to the relevant HIV program area’s needs, which is a typical practice for health departments.

January 19, 2018

SurSaUD Software: A Tool to Support the Data Management, the Analysis and the Dissemination of Results from the French Syndromic Surveillance System

The French syndromic surveillance system SurSaUD was set up by the French institute for public health surveillance (InVS) in 2004. The system is based on three main data sources: 1) the attendances in the Emergency departments (ED), 2) the consultations to emergency General Practitioners’ associations SOS Médecins, 3) the mortality data from civil status offices and e-certificates.

July 02, 2018

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Contact Us

National Syndromic
Surveillance Program

Email:nssp@cdc.gov

The National Syndromic Surveillance Program (NSSP) is a collaboration among states and public health jurisdictions that contribute data to the BioSense Platform, public health practitioners who use local syndromic surveillance systems, Center for Disease Control and Prevention programs, other federal agencies, partner organizations, hospitals, healthcare professionals, and academic institutions.

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