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Management of Surveillance Data

Description

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.

In 2012, 400 of the 710 ED and 59 of the 62 GP’s associations are involved in the system. 80% of the national mortality is also collected. Given this large database and the need to analyze data in a short delay to reach the early warning objective of the system, a specific software has been developed.

 

Objective

The presentation describes the design and the main functionalities of the software developed to support the data management and data analysis of the French syndromic surveillance system.

Submitted by hparton on
Description

Accurately gauging the health status of a population during an event of public health significance (e.g. hurricanes, H1N1 2009 pandemic) in support of emergency response and situation awareness efforts can be a challenge for established public health surveillance systems in terms of geographic and population coverage as well as the appropriateness of health indicators. The demand for timely, accurate, and event-specific data can require the rapid development of new data assets to “fill-in” existing information gaps to better characterize the scope, scale, magnitude, and population health impact of a given event within a very narrow time-window. Such new data assets may be concurrently under development and evaluation while being used to support response efforts. Recent examples include the “drop-in” surveillance processes deployed at evacuation centers following Hurricane Katrina1 and the illness and injury surveillance systems established for response workers during the Deepwater Horizon Oil spill response. During the 2009 H1N1 pandemic response, CDC acquired access to data from several national-level health information systems that previously had been un-vetted as public health information sources. These sources provided data extracts from massive administrative or electronic medical records (EMR) based in hospital and primary care settings. It was hoped that such data could supplement existing influenza surveillance systems and aid in the characterization of the pandemic. Few of these new data sources had formal documentation or concise information on the underlying populations and geographies represented.

 

Objective

To describe data management and analytic processes undertaken to rapidly acquire and use previously unavailable data during a public health emergency response.

Submitted by hparton on
Description

HIV surveillance in Vietnam is comprised of different surveillance systems including the HIV sentinel surveillance (HSS). The HSS is an annual, multi-site survey to monitor HIV sero-prevalence and risk behaviors among key populations. In 2015, the Vietnam Administration on HIV/AIDS Control (VAAC) installed the Epi Info Cloud Data Analytics (ECDA), a free web-based analytical and visualization program developed by the Centers for Disease Control and Prevention (CDC) to serve as an information management system for HIV surveillance. Until 2016, provincial surveys, recorded on paper, were computerized and submitted to VAAC, which was responsible for merging individual provincial datasets to form a national HSS dataset. Feedback on HSS issues were provided to provinces 3 to 6 months after survey conclusion. With the use of tablets for field data collection in 2017, provincial survey data were recorded electronically and transferred to VAAC at the end of each survey day, thus enabling instant updating of the national 2017 HSS dataset on daily basis. Upon availability of the national HSS dataset on VAAC’s server, ECDA enhanced wider access and prompt analysis for staff at all levels (figure 1). This abstract describes the use of ECDA, together with tablet-based data collection to improve management, quality and use of surveillance data.

Objective:

To use Epi Info Cloud Data Analytics (ECDA) to improve the management, quality and utilization of the Vietnam National HIV Surveillance data.

Submitted by elamb on