Displaying results 297 - 304 of 537
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Leveraging the NSSP R Studio Server to Automate QA Monitoring and Reporting
Content Type: Abstract
In 2016, the CDC funded 12 states, under the Enhanced State Opioid Overdose Surveillance (ESOOS) program, to utilize SyS to increase timeliness of state data on drug overdose events. In order to operationalize the objectives of the grant, there was… read more -
A Semantic Framework to Improve Interoperability of Malaria Surveillance Systems
Content Type: Abstract
In 2015, there were 212 million new cases of malaria, and about 429,000 malaria death, worldwide. African countries accounted for almost 90% of global cases of malaria and 92% of malaria deaths. Currently, malaria data are scattered across different… read more -
Quantifying Model Form Uncertainty of Epidemic Forecasting Models from Incidence Data
Content Type: Abstract
Uncertainty Quantification (UQ), the ability to quantify the impact of sample-to-sample variations and model misspecification on predictions and forecasts, is a critical aspect of disease surveillance. While quantifying the impact of stochastic… read more -
Transforming Public Health Surveillance Through Open Public Health Information
Content Type: Abstract
Public health practice that prevents, detects, and responds to communicable and noncommunicable disease threats is hindered by poor access to public health data and information. This includes timely sharing of case-based information, respecting… read more -
Surveillance of a Synthetic Cannabinoid Overdose Outbreak using Syndromic & EMS Data
Content Type: Abstract
In mid-2017, the Kentucky Injury Prevention and Research Center (a bonafide agent of Kentucky Department for Public Health-KDPH) was alerted by members of KDPH to anecdotal evidence of a possible increase of SynCan (primarily Serenity) overdoses.… read more -
Data Sharing Among Three States in the BioSense Platform during the 2017 US Solar Eclipse
Content Type: Abstract
In 2016, the BioSense Platform for national syndromic surveillance made substantial enhancements including data processing changes, a national ESSENCE instance, and management tools to support diverse data sharing needs. On August 21, 2017, a total… read more -
A Suite of Mechanistic Epidemiological Decision Support Tools
Content Type: Abstract
We present the EpiEarly, EpiGrid, and EpiCast tools for mechanistically-based biological decision support. The range of tools covers coarse-, medium-, and fine-grained models. The coarse-grained, aggregated time-series only data tool (EpiEarly)… read more -
Analytics for Investigation of Disease Outbreaks (AIDO)
Content Type: Abstract
Situational awareness, or the understanding of elemental components of an event with respect to both time and space, is critical for public health decision-makers during an infectious disease outbreak. AIDO is a web-based tool designed to… read more