Jacqueline S. Coberly

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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 Tuberculosis is a common complication of HIV-1 infection, especially in developing countries. Practical and effective chemoprophylaxis regimens for HIV-1-related tuberculosis are needed. Our aim was to test the efficacy of isoniazid versus rifampicin with pyrazinamide for prevention of tuberculosis in HIV-1-positive individuals. METHODS We(More)
This study introduces new information fusion algorithms to enhance disease surveillance systems with Bayesian decision support capabilities. A detection system was built and tested using chief complaints from emergency department visits, International Classification of Diseases Revision 9 (ICD-9) codes from records of outpatient visits to civilian and(More)
Public health surveillance is undergoing a revolution driven by advances in the field of information technology. Many countries have experienced vast improvements in the collection, ingestion, analysis, visualization, and dissemination of public health data. Resource-limited countries have lagged behind due to challenges in information technology(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)
Maternal-infant transmission of HIV-1 occurs in 13-40% of pregnancies. Studies on transmission of maternal immunity to HIV antigens have used antigens from viruses not representative of clinical isolates and have been conflicting. Using a consensus peptide sequence based on HIV isolates found in Haiti, we found that Haitian mothers who transmitted infection(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)
659 lectronic biosurveillance systems can improve the timeliness of public health data collection, aid in the early detection of disease outbreaks, and enhance situational awareness. As part of the Suite for Automated Global Electronic bioSurveillance (SAGES) program, the Johns Hopkins University Applied Physics Laboratory (APL) developed an open-source(More)