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In this 26 minute video, Eric Bakota offers an overview of a free statistical package, R, and an overview of commonly used tips and tricks shared in the surveillance community for analysis work in R.

Objectives:

Overview of R and R Studio Introduction to the ‘Tidyverse’ concept (... Read more
Content type: Training

To obtain feedback and seek future directions for an ISDS initiative to establish and update research questions in Informatics, Analytics, Communications, and Systems Research with the greatest perceived impact for improving surveillance practice.

Content type: Abstract

The early detection of outbreaks of diseases is one of the most challenging objectives of epidemiological surveillance systems. In order to achieve this goal, the primary foundation is using those big surveillance data for understanding and controlling the spatiotemporal variability of disease... Read more

Content type: Abstract

Internet based technologies are becoming quite prominent among today’s generation due to its easy accessibility through computer or phone devices. Internet’s relative anonymity leads high risk groups to find it easier to meet sexual partners with similar characteristics through dating sites like... Read more

Content type: Abstract

Currently Centers for Disease Control and Prevention (CDC) employ threshold rules to declare epidemic outbreaks, such as influenza, separately in each population. However each year influenza starts in one population and spreads population-to-population throughout the country. Therefore there is... Read more

Content type: Abstract

The frequency of disease outbreaks varies as a result of complex biological processes. Analysis of these frequencies can reveal patterns that can serve as a basis for predictions.

Objective:

The goal of this study was to identify the periodicity of seven zooanthroponoses in humans... Read more

Content type: Abstract

Syndromic surveillance has traditionally been used by public health to supplement mandatory disease reporting. The use of chief complaints as a data source is common for early event detection. Though some public health syndromic surveillance systems allow individual hospitals to view their own... Read more

Content type: Abstract

The 2003/04 influenza season included a more pathogenetic organism and had an earlier onset. There were noticeably more deaths in otherwise healthy children than in previous seasons. Following this season, States were asked by the Centers for Disease Control and Prevention to increase their... Read more

Content type: Abstract

Disease surveillance systems are currently used for the early detection of disease outbreak before diagnosis is confirmed in order to mobilize a rapid response . The fear of epidemics or bioterrorism resulted in the development of systems for the general population; however research efforts for... Read more

Content type: Abstract

To develop a spatially accurate biosurveillance synthetic data generator for the testing, evaluation, and comparison of new outbreak detection techniques.

Content type: Abstract

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The National Syndromic Surveillance Program (NSSP) is a collaboration among states and public health jurisdictions that contribute data to the BioSense Platform, public health practitioners who use local syndromic surveillance systems, Center for Disease Control and Prevention programs, other federal agencies, partner organizations, hospitals, healthcare professionals, and academic institutions.

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