نتایج جستجو برای: outbreak detection
تعداد نتایج: 605966 فیلتر نتایج به سال:
Rapid detection of outbreaks is recognized as crucial for effective control measures and has particular relevance with the recently increased concern about bioterrorism. Automated analysis of electronically collected laboratory data can result in rapid detection of widespread outbreaks or outbreaks of pathogens with common signs and symptoms. In the Netherlands, an automated outbreak detection ...
In this paper we explore the potential of using sales of grocery items data for early detection of epidemiological outbreaks and bio-terrorism attacks. These data are of special importance, as they are illustrative of non-symptom specific data that are expected to arrive earlier than medical data commonly used for such purposes. We explore the characteristics of such data and create a detection...
Timely response to health events such as emerging diseases and outbreaks are a major public health priority. Outbreak detection methods and algorithms as the main tools for public health surveillance systems are under the umbrella of temporal and spatial methods (1). “There are three different approaches which might be used by syndromic surveillance systems to examine the performances of outbre...
BACKGROUND Public health surveillance is the monitoring of data to detect and quantify unusual health events. Monitoring pre-diagnostic data, such as emergency department (ED) patient chief complaints, enables rapid detection of disease outbreaks. There are many sources of variation in such data; statistical methods need to accurately model them as a basis for timely and accurate disease outbre...
BACKGROUND An outbreak of Marburg hemorrhagic fever was first observed in a gold-mining village in northeastern Democratic Republic of the Congo in October 1998. METHODS We investigated the outbreak of Marburg hemorrhagic fever most intensively in May and October 1999. Sporadic cases and short chains of human-to-human transmission continued to occur until September 2000. Suspected cases were ...
In this paper we introduce a new spatio-temporal methodology for biosurveillance entitled the Repeated Two-sample Rank (RTR) procedure. It is designed to sequentially incorporate information from individual observations and thus can operate on data in real-time as it arrives into an automated biosurveillance system. In addition, upon a signal of a possible outbreak, the methodology suggests a w...
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