Artificial Intelligence (A.I.) has been strongly adopted by the commercial and academic sectors, but its adoption by governmental public health has been far less extensive. This is in part due to a dearth of training resources tailored to the public health workforce. As a result, many A.I. techniques with the potential to improve operations for …
Applications of Artificial Intelligence to Disease Surveillance Read More »
This presentation will examine the concept of aberration detection, explain the basics of associated surveillance methods, and discuss how the state of Utah is using aberration detection to improve the efficiency and effectiveness of fatal drug overdose surveillance and response.
Passcode:#x$8F!DN Description: This presentation will demonstrate a new method of burden assessment for use in identifying communities within a population that are in need of prevention and intervention resources. The Z-Score Burden Metric, demonstrated with firearm fatality data, uses z-score standardization of incidence data to describe community burden of injury in a way that facilitates …
Z-Score Burden Metric: A Method for Assessing Burden of Injury and Disease Read More »
This presentation will describe the Health Equity Data Analysis (HEDA) framework and how it might be used to better understand the root causes of inequities and develop community driven solutions. The HEDA process can help users uncover and understand the origins of health inequities, inform future priorities, and identify new communities to engage. The HEDA …
Epi Methods Subcommittee Call- Health Equity Data Analysis Read More »
After the webinar, participants will be able to: Describe the functionality of syndromic surveillance for public health action Identify the required data sources, uses and user needs (training, staff level, software) for different syndromic surveillance platforms List examples of how data and information obtained from syndromic surveillance was utilized for public health action including reallocation …