Displaying results 1425 - 1432 of 1459
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Multi-Syndrome Analysis of Time Series: A New Concept for Outbreak Investigation
Content Type: Abstract
Temporal anomaly detection is a key component of real time surveillance. Today, despite the abundance of temporal information on multiple syndromes, multivariate investigation of temporal anomalies remains under-explored. Traditionally, an outbreak… read more… abundance of temporal information on multiple syndromes, mul- tivariate investigation of temporal anomalies remains … -
A model for flu outbreak surveillance that describes the time lag for data reporting from the first presentation of a case to diagnosis
Content Type: Abstract
Reporting notifiable conditions to public health authorities by health-care providers and laboratories is fundamental to the prevention, control, and monitoring of population-based disease. To successfully develop community… read more… 2424 Conclusions Although diagnosis data may not be required to identify a disease outbreak in the … of infectious diseases by clinicians. JAMA 1989;262:3018–26. 2 Committee on Emerging Microbial Threats to Health … -
Analysis of Notifiable Diseases Detected by Syndromic Surveillance in Taiwan
Content Type: Abstract
The paper outlined the major findings and statistical results of syndromic surveillance system in Taiwan since year 2000.… Among the reporting cases, around 7.7%, 36.5%, 29.6%and 26.2% reported as AHS, ARS, ANS and AJS. The table below … Yu-Tseng Chu, Jiunn-Shyan Wu, Mei-Lien Pan, Hui-Chih Yu, Muh-Yung Yen, Wen- Rong Su, Hsiou-Wen Lu, Chi-Ming Kevin … -
Distributing Countermeasures for All Hazards Events and Reporting their Utilizations
Content Type: Abstract
Description: The Centers for Disease Control and Prevention (CDC) works to save lives and protect people during major public health events. In an effort to support these processes, CDC established the Countermeasure Tracking Systems (CTS), which is… read more… Michele Renshaw1, Sanjeeb Sapkota1*, Stephanie Dulin1, Guy Faler2, Benjamin Erickson1, Sarah Waite3, Leslie Han3, … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 … -
Standardization to aid interoperability between NLP system
Content Type: Abstract
There are a number of Natural Language Processing (NLP) annotation and Information Extraction (IE) systems and platforms that have been successfully used within the medical domain. Although these groups share components of their systems, there… read more… IN, USA; and 11NLM, Bethesda, MD, USA E-mail: guy.divita@hsc.utah.edu Objective The Consortium for … -
Introducing: Future MFT Facility Administration Tool – User Interface and Functionality
Content Type: Webinar
The NSSP Support Team will present an overview on the plans for a future Master Facility Table user interface (UI) designed to replace the current excel-spreadsheet update process. The presentation will feature mock-ups of the UI screens,… read more… ‹#› Proposed UI 21 Active Group 1 123 Generic Hospital Y Emergency Onboarding ‹#› Proposed UI When done correctly, … Facility_ Status Facility_Type Generic Hospital 123 Y 1 Onboarding Emergency Care Input_FacilityID_UUID … the Facility Type (the number 1 shows the C_BIOSENSE_ID ) 26 Review Key Fields for Data Processing FacilityID_UUID … -
Bayesian Surveillance for the Detection of Small Area Health Anomalies
Content Type: Webinar
The surveillance task when faced with small area health data is more complex than in the time domain alone. Both changes in time and space must be considered. Such questions as ‘where will the infection spread to next?’ and, ‘when will the infection… read more… changes in the RR pattern of disease. A too complex model may absorb changes in risk in the model fit UNIVARIATE … § ¸̧ ¸ ¸ ¸ ¹ · ¨̈ ¨ ¨ ¨ © § iKitK iit iit itK it it e e e y y y θ θ θ ˆ ˆ ˆ 22 11 2 1 ## posterior relative risk … beginning June 28 to week beginning December 27 (weeks 26 – 52 in previous figure) ¾ 46 counties, 27 time periods, … -
A new interpretation of the inference test for the spatial scan statistic
Content Type: Abstract
Spatial cluster analysis is considered an important technique for the elucidation of disease causes and epidemiological surveillance. Kulldorff's spatial scan statistic, defined as a likelihood ratio, is the usual measure of the strength of… read more… cost of estimating the data-driven critical value may be reduced through the use of a simple interpolation. … M. A spatial scan statistic. Commun Stat Theor Meth. 1997;26:1481�96. 2. Kulldorff M, Nagarwalla N. Spatial disease … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 …