The Influenza Risk Assessment Tool (IRAT) is an evaluation tool developed by CDC and external influenza experts that assesses the potential pandemic risk posed by influenza A viruses that currently circulate in animals but not in humans. The IRAT assesses potential pandemic risk based on two different scenarios: “emergence” and “public health impact.”
CDC
The AR Investment Map showcases the Centers for Disease Control & Prevention's (CDC) activities to meet national goals to prevent drug-resistant infections. CDC’s AR Solutions Initiative puts state and local AR laboratory and epidemiological expertise in every state and makes investments in public health innovation to fight AR across healthcare settings, food, and communities.
This presentation gives an overview of Zika. Topics include the history of the disease, clinical symptoms and treatment, and surveillance of human cases and the mosquitos that spread the virus.
CDC has updated the estimated range maps for Ae. aegypti and Ae. albopictus mosquitoes by using a model that predicts possible geographic ranges for these mosquitoes in the contiguous United States. The model used county-level records, historical records, and suitable climate variables to predict the likelihood (very low, low, moderate, or high) that these mosquitoes could survive and reproduce if introduced to an area during the months when mosquitoes are locally active. Maps are not meant to represent risk for spread of any specific disease
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The online training course will help novice and intermediate ESSENCE users learn how to perform routine tasks such as creating queries, analyzing data using multiple visualization types, and understanding alerts. The training is broken into 7 components:
Drs. Arens, Vo, van Wijk, and Coffin will present a cluster of opioid-related poisoning cases and deaths in San Francisco following ingestion of counterfeit pills designed to look like prescription medication. They will describe the clinical cases and detailed the coordinated public health response, which included the local PCC, a toxicology lab, a public health officer, the local medical examiner, and affected hospitals.
Presenters:
Ann Arens, MD and Kathy Vo, MD, Medical Toxicology Fellows, California Poison Control System, San Francisco Division
This addendum consolidates the Centers for Disease Control and Prevention’s (CDC’s) PHIN Messaging Guide for Syndromic Surveillance: Emergency Department, Urgent Care, Inpatient and Ambulatory Care Settings (Release 2.0) (PHIN MG) information and clarifies existing conformance requirements. Conformance statements and conditional predicates that clarify message requirements are presented below. Value set requirements, general clarifications, and PHIN MG errata are also provided in this addendum.
This document represents the collaborative effort of the International Society for Disease Surveillance (ISDS), the Centers for Disease Control and Prevention (CDC), and National Institute of Standards and Technology (NIST) to specify a national electronic messaging standard that enables disparate healthcare applications to submit or transmit administrative and clinical data for public health surveillance and response.
This Guide provides:
This document provides testing clarification for the Centers for Disease Control and Prevention’s (CDC’s) PHIN Messaging Guide for Syndromic Surveillance: Emergency Department and Urgent Care Data, Release 1.1.
The PHIN Message Quality Framework (MQF) is a web application that assists public health practitioners with preparing and communicating quality standard electronic messages as defined by the applicable messaging, vocabulary, and programmatic standards. This framework allows users to upload HL7 2.3.1 and 2.5.1 messages for Meaningful Use message validation for Electronic Laboratory Reporting, Immunization, and Syndromic Surveillance.