NSSP provides expertise and technical assistance to support public health professionals. The Pennsylvania Department of Health used inpatient syndromic data to boost MIS-C case detection. These tools and tips help syndromic surveillance practitioners protect our communities. The Access & Management Center (AMC) launches NSSP apps.

5 天之前 · NSSP supports syndromic surveillance practice through the BioSense Platform, a secure integrated electronic health information system. Standardized analytic tools and processes enable the public health community to detect, characterize, …

The Knowledge Repository (KR) website hosts relevant information for the National Syndromic Surveillance Program (NSSP) Community of Practice (CoP). Content is delivered by members of Council of State and Territorial Epidemiologists (CSTE).

Using multiple sequence alignments rather than single sequences and a simple jury decision method we achieved an over all three-state accuracy of 72.2%, which is better than that observed for the most accurate multilayered neural network approach, tested on the same data set of 126 non-homologous protein chains.

2024年4月18日 · ESSENCE is the key tool that allows public health professionals to access and interpret the data that flow into the BioSense Platform. This supports collaboration and investigation. It also allows users to analyze, visualize, and share data.

Its goal is to improve code reproducibility, standardize and document reusable functions, facilitate the sharing of routine reports across the NSSP Community of Practice (CoP), and better engage the NSSP CoP. You can install the development version of Rnssp from GitHub:

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1999年9月17日 · NNSSP 30 is a scored nearest-neighbor method. It is based upon the environmental scoring scheme proposed by Bowie. 66 The NNSSP method extends the Bowie method by considering N and C terminal positions of α–helices and β–strands. The size of the database used for scanning is also altered to reflect similarity to the query sequence ...

Training set: Our training and test sets of human and Drosophila melanogaster splice sites are available to the community for testing splice site predictors. They can be obtained from our collection of representative, standardized data sets of human and D. melanogaster genes.