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Problem Summary
Given the background of climate change, there is an increasing demand for public health to characterize weather-related illness. The public health impact of extreme heat or cold events can be characterized from Emergency Department syndromic surveillance data to monitor... Read more
Problem Summary
A truncated historical dataset is provided from one or more subregions with multiple participating hospitals with enough variety in the patient volume and demographics to make the problem challenging and to generate alerting solutions useful to other regions.
Presented October 25, 2017.
In regular contact with abattoir workers during inspections, USDA APHIS Georgia employees noticed very few employees using proper PPE, and observed risky slaughter and processing practices at both small and large abattoirs. In general, employees seemed to have... Read more
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... Read more
Presented September 19, 2017.
The main goal of this talk is to demonstrate map making in R using leaflet. We will cover trivial and non-trivial examples. I use the data.table package as my default data container and for all data manipulation.
Sub topics:
· Examples of... Read more
This Primer, published by the Network for Public Health Law on Friday, September 8, 2017, provides a visual snapshot and a timeline on state and federal emergency declarations in response to Hurricane Harvey and Irma.
On August 25, 2017, Hurricane Harvey, a category 4 hurricane, made... Read more
Presented September 21, 2017.
The purpose of this webinar is to introduce the Analytic Solution Committees (ASC) to ISDS members, explaining how the committee works and how it can help ISDS members, and to foster discussion about what processes would be most helpful to ISDS members going... Read more
Presented January 26, 2017.
This presentation will describe the steps involved in machine learning and will include a demo an application to detect carbon monoxide poisoning in the Kansas syndromic surveillance data.
Presented July 27, 2017.
The inferences we make from data can only be as good as the quality of the data; making sure that we are receiving timely, quality data is important. In this presentation, Mark White will describe a number of functions that he has written to perform data quality... Read more
Presented May 31, 2017.
Eric Bakota will go over the results from the survey and then I’ll show a report that we generate at HHD using RMarkdown, SQL, and RODBC. This report uses RODBC to connect to our Electronic Disease Surveillance System (MAVEN) to query data needed for the report.... Read more
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