Communicable Disease Control

In November of 2011, the local Public Health unit responsible for the Edmonton area (population 1.2mil) was alerted to an individual meeting the case definition for measles in the ED. A key part of the management strategy was to identify contacts to the index case, perform a risk assessment and, if applicable, inform them of the risk. Given the transmission characteristics, the risk for this group was defined as those present within the geographic area/environment of the index case within a specified time period. Public Health utilized the established manual lookup of hospital records and piloted an automated data query through the syndromic surveillance system, ARTSSN. This served as opportunity to validate the ability to generate a contact list, based on risk geography and time, of the ARTSSN system, and to compare the timeliness of each result.

Objective

Following a clinical case of measles presenting to an urban emergency department (ED), the local health authority sought to identify all patients that might be at risk for disease. This list of contacts was generated through a manual search of hospital records and through a piloted automated data query of the health authority's syndromic surveillance system, Alberta Real Time Syndromic Surveillance Net (ARTSSN). The purpose of this pilot study was to: 1) compare the completeness of the two lookup methods and, 2) describe the time requirements needed for each method.

Completeness of public health information is essential for the accurate assessment of community health progress and disease surveillance. Yet challenges persist with respect to the level of completeness that public health agencies receive in reports submitted by health care providers. Missing and incomplete data can jeopardize information reliability and quality resulting in inaccurate disease evaluation and management (1). Additionally, incomplete data can prolong the time required for disease investigators to complete their work on a reported case. Thus, it is important to determine where the scarcity of information is coming from to recognize the characteristics of provider reporting.

Objective

To examine the completeness of data elements required for notifiable disease surveillance from official, provider-based reports submitted to a local health department.

Effective communicable disease control through rapid detection and prompt response to outbreaks is one of the priorities during a humanitarian crisis, as communicable diseases can be a major cause of morbidity and mortality in emergencies, particularly in countries with poor disease surveillance mechanisms. Yemen is among many developing countries being hit by conflicts, displacement of population and disruption of basic services, where among other public health risks and threats the population is exposed to risks of several communicable diseases. Thus, effective preventive and control measures through early detection and rapid identification of infectious diseases and provision of a public health response to communicable disease outbreaks, a crucial priority health intervention, need to be directed towards diseases that are endemic and particularly those which can potentially cause excess numbers of mortality and morbidity within a short span of time.

Objective

The intended objective of the Electronic Disease Early Warning System (eDEWS) is to minimize morbidity and mortality due to communicable diseases through detection of potential outbreaks at their earliest possible stage using a novel modeling approach that mainly facilitates the transformation of data into actionable information.