Displaying results 345 - 352 of 367
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Dengue Surveillance and Control: One Health Case Study
Content Type: Case Study
Pakistan being a subtropical region is highly susceptible to water-borne, air-borne and vector-borne infectious diseases (IDs). Each year, millions of its people are exposed to, and infected with, deadly pathogens including hepatitis, tuberculosis,… read more… __x_ Cross-Agency Communication and Collaboration __x_ Training and Resources __x_ Technologies and Methodologies … -
Discovering the National Biosurveillance Integration Center (NBIC)
Content Type: Webinar
The National Biosurveillance Integration Center (NBIC) serves to enable early warning and shared situational awareness of acute biological events and support better decisions through rapid identification, characterization, localization, and tracking… read more… through enhanced coding of food, national guidelines, and training for a food safety help line call center • Applies … -
BioSense 2.0 Webinar: The Kansas Experience, Health Information Exchanges, and Onboarding
Content Type: Webinar
Public health jurisdictions participating in BioSense 2.0 can be on-boarded in several ways, including one hospital at a time or through a health information exchange (HIE). Onboarding through an HIE can simplify the process and ease the burden on… read more… Kansas experience to BioSense through Missouri ESSENCE. Six Kansas facilities in the Kansas City … -
Eligible Hospital (EH) Onboarding Approach for the Meaningful Use (MU) Incentive Program
Content Type: Meeting Recordings & Notes
From the BioSense 2.0 Onboarding Workgroup meeting, February 4, 2015 Presenter Promise Nkwocha, MSc. RHCE, New York City Department of Health and Mental Hygiene read more… “P” for Production, “D” for Debug/Testing or “T” for Training/Testing. Version ID 12 String 5 [1..1] R R R R … -
NYC Onboarding Presentation
Content Type: Presentation Slides
This NYC DOHMH presentation details the process for onboarding data into BioSense for the NYC hospitals for certification.… “P” for Production, “D” for Debug/Testing or “T” for Training/Testing. Version ID 12 String 5 [1..1] R R R R … -
HL7 Version 2.5.1 PHIN Messaging Guide for Syndromic Surveillance: Emergency Department, Urgent Care and Inpatient Settings, Release 2.0, NIST Clarifications and Validation Guidelines, Version 1.5 (July 2016)
Content Type: Messaging Standard
This document lists conformance testing issues and associated policies derived by NIST, in collaboration with the CDC, based on a review of the HL7 Version 2.5.1 PHIN Messaging Guide for Syndromic Surveillance: Emergency Department, Urgent Care,… read more… values: "P" for Production, "D" for Debug or "T" for Training. NIST-28 MSH-12 SS-016 implementation SS-016 needs … values: "P" for Production, "D" for Debug or "T" for Training. ERR-15 NIST-28 MSH-12 SS-016 implementation SS-016 … -
Using AFDL Algorithm to Estimate Risk of Positive Outcomes of Microbial Tests at Food Establishments
Content Type: Abstract
One of the common tasks faced by the U.S. Department of Agriculture (USDA) food safety analysts is to estimate the risk of observing positive outcomes of microbial tests of food samples collected at the slaughter and food… read more… Montevideo over six months following two years worth of training data. Figure below presents lift charts summarizing … -
Smart homes and novel indicators to inform an evidence-based population health intervention for aging in place and design of a community health registry
Content Type: Abstract
The critical need for population-level interventions to support the health needs of the growing population of older adults is widely recognized1. In addition, there is a need for novel indicators to monitor wellness as a resource for living and a… read more… Acknowledgments This work is supported by NINR Training Grant T32NR007106-13. References 1. Rice DP, …