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In some high-income countries, public health surveillance includes systems that use computer and information technology to monitor health data in near-real time, facilitating timely outbreak detection and situational awareness. In September 2007, a meeting convened in Bangkok, Thailand to consider the adaptation of near-real time surveillance methods to(More)
S urveillance, according to the World Health Organization (WHO), " is the cornerstone of public health security " [1]. In many developing countries, human, laboratory, and infrastructure limitations impede effective surveillance [2–5]. Such countries likely do not meet core surveillance and response capacities under the new International Health Regulations(More)
BACKGROUND Accurate prediction of dengue incidence levels weeks in advance of an outbreak may reduce the morbidity and mortality associated with this neglected disease. Therefore, models were developed to predict high and low dengue incidence in order to provide timely forewarnings in the Philippines. METHODS Model inputs were chosen based on studies(More)
Capacity-building initiatives related to public health are defined as developing laboratory infrastructure, strengthening host-country disease surveillance initiatives, transferring technical expertise and training personnel. These initiatives represented a major piece of the Armed Forces Health Surveillance Center, Division of Global Emerging Infections(More)
Modern information and communications technologies (ICTs) are now so feature-rich and widely available that they can be used to "capture," or collect and transmit, health data from remote settings. Electronic data capture can reduce the time necessary to notify public health authorities, and provide important baseline information. A number of electronic(More)
BACKGROUND Emerging public health threats often originate in resource-limited countries. In recognition of this fact, the World Health Organization issued revised International Health Regulations in 2005, which call for significantly increased reporting and response capabilities for all signatory nations. Electronic biosurveillance systems can improve the(More)
and reproduction in any medium, provided the original work is properly cited. Objective Present how a surveillance tool such as SAGES was used for disease surveillance for mass gathering activities. Introduction The SAGES (Suite for Automated Global Electronic bioSurveillance) team at the John Hopkins University Applied Physics Laboratory was approached by(More)
The 2009 Presidential Inauguration and H1N1 outbreak called for real-time electronic information-sharing and surveillance across multiple jurisdictions to better understand the health of migrating populations. The InfoShare web application proved to be an efficient tool for users to share disease surveillance information. During both high profile events,(More)
735 he Johns Hopkins University Applied Physics Laboratory (APL) has developed a novel and scalable data mining and fuzzy association rule-making approach to deriving disease incidence predictions several weeks in advance of an outbreak. This capability provides a new set of information that may be used by decision makers in conjunction with other(More)
In its 15th year, the Global Emerging Infections Surveillance and Response System (GEIS) continued to make significant contributions to global public health and emerging infectious disease surveillance worldwide. As a division of the US Department of Defense's Armed Forces Health Surveillance Center since 2008, GEIS coordinated a network of surveillance and(More)