Using R Shiny to Share Surveillance Data

Presented November 21, 2017.

This presentation covers how the shiny package can complement traditional surveillance reporting through online, interactive applications. Kelley demonstrates a shiny application Cook County is currently using to share influenza data and walks through the steps she took to make the application and lessons learned. She reviews portions of the code available on Github here: https://github.com/kb230557/Flu_Shiny_App.

November 21, 2017

Integrated Disease Surveillance to Reduce Data Fragmentation - An Application to Malaria Control

There is growing recognition that an inability to access timely health indicators can hamper both the design and the effective implementation of infectious diseases control interventions. In malaria control, the global use of standard interventions has driven down the burden of disease in many regions. Further gains in high transmission areas and elimination in lower transmission settings, however, will require an enhanced understanding of malaria epidemiology, population characteristics, and efficacy of clinical and public health programs at the local level.

October 27, 2017

SMART Platforms: Building The App Store for Biosurveillance

Health care information is a fundamental source of data for biosurveillance, configuring electronic health records to report relevant data to health departments is technically challenging, labor intensive, and often requires custom solutions for each installation. Public health agencies wishing to deliver alerts to clinicians also must engage in an endless array of one-off systems integrations.

September 28, 2017

The Organizational Structures and Human Resources Allocation of Infectious Disease Surveillance System in Rural China

To meet the long-term needs of public health and social development of China, it is in urgency to establish a comprehensive response system and crisis management mechanism for public health emergencies. Syndromic surveillance system has great advantages in promoting early detection of epidemics and reducing the burden of disease outbreak confirmation. The effective method to set up the syndromic surveillance system is to modify existing case report system, improve the organizational structures and integrate new function with the traditional system.

 

June 25, 2018

Design and development of a standards-based model to publish public health reporting criteria

State laws mandate clinicians and laboratories to report occurrences of reportable diseases to public health entities. For this purpose, a set of case-reporting specifications are published and maintained by public health departments. There are several problems with the existing case-reporting specifications: (1) they are described on individual state websites and posters and not structured or executable; (2) the specifications are often misleading representing case classification rather than case reporting criteria; (3) they vary across jurisdictions and change over time; and (4) reporting

June 14, 2019

Development of public health communication tools using open source methods

Secure and confidential exchange of information is the cornerstone of public health practice. Often, this exchange has to occur between public health agencies across jurisdictions. Examples include notification of reportable diseases when the testing and residence of the patient are in different counties. The cross-jurisdictional issues become exaggerated in times of communicable disease outbreaks or events of interest that are not yet classified as outbreaks.

June 14, 2019

Epibasket: a prototype web tool aimed to speed up and standardize the epidemiological investigation of an outbreak

The detailed analysis of the epidemiological literature on the 2003 SARS epidemic published in peer reviewed journals has shown that a majority (78%) of the epidemiological articles were submitted after the epidemic had ended, although the

June 17, 2019

Integrating medical examiner data in Utah

The Office of the Medical Examiner (OME) is a statewide system for investigation of sudden and unexpected death in Utah. OME, in the Utah Department of Health (UDOH), certified over 2000 of the 13,920 deaths in Utah in 2008. 

June 26, 2019

Full Automatic Syndromic Surveillance System Using Prescription in Japan

I Medical services for outpatients are well developed due to universal public health insurance. Even patients who have mild symptoms can visit a clinic freely in Japan. Thus the monitoring of outpatients provides very timely information to detect unusual events. On the other hand, EMRs haven't had much penetration, less than 10% at clinics and 20% at hospitals. Moreover, almost nobody uses HL7 or other standards for EMRs. Therefore, it is very difficult to develop a syndromic surveillance system using EMRs like the U.S. We have to develop a system for each EMR and it has a heavy cost.

July 30, 2018

Surveillance in the Cloud: A New Platform for Disease Search and Situational Awareness

Major challenges in syndromic surveillance today include lack of standardization in syndrome definitions and limited ability to detect outbreaks of specific and rare diseases. To generate situational awareness surveillance results across various regions must be comparable and epidemiologically well defined. In addition, the high cost of obtaining and maintaining powerful computing resources (e.g., parallel computers) needed for data processing and analysis, and absence of a protocol for data sharing, highlight some of the obstacles to achieving situational awareness.

July 30, 2018

Pages

Contact Us

NSSP Community of Practice

Email: syndromic@cste.org

 

This website is supported by Cooperative Agreement # 6NU38OT000297-02-01 Strengthening Public Health Systems and Services through National Partnerships to Improve and Protect the Nation's Health between the Centers for Disease Control and Prevention (CDC) and the Council of State and Territorial Epidemiologists. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of CDC. CDC is not responsible for Section 508 compliance (accessibility) on private websites.

Site created by Fusani Applications