Publications by authors named "Agha N Khan"

Immunizations are an important tool to reduce the burden of vaccine preventable diseases and improve population health. High-quality immunization data is essential to inform clinical and public health interventions and respond to outbreaks of vaccine-preventable diseases. To track COVID-19 vaccines and vaccinations, CDC established an integrated network that included vaccination provider systems, health information exchange systems, immunization information systems, pharmacy and dialysis systems, vaccine ordering systems, electronic health records, and tools to support mass vaccination clinics.

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Next-generation sequencing (NGS) is a powerful tool for detecting and investigating viral pathogens; however, analysis and management of the enormous amounts of data generated from these technologies remains a challenge. Here, we present VPipe (the Viral NGS Analysis Pipeline and Data Management System), an automated bioinformatics pipeline optimized for whole-genome assembly of viral sequences and identification of diverse species. VPipe automates the data quality control, assembly, and contig identification steps typically performed when analyzing NGS data.

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Effective laboratory-based surveillance and public health response to bacterial meningitis depends on timely characterization of bacterial meningitis pathogens. Traditionally, characterizing bacterial meningitis pathogens such as (Nm) and (Hi) required several biochemical and molecular tests. Whole genome sequencing (WGS) has enabled the development of pipelines capable of characterizing the given pathogen with equivalent results to many of the traditional tests.

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The Centers for Disease Control and Prevention (CDC) is looking for improved ways to collect complex, and highly sensitive, public health surveillance data. The Sexually Transmitted Diseases - Laboratory Test Methods Survey (STD-LMS) was developed to replace the traditional STD mail survey. The web-based STD-LMS offered distinct advantages over the traditional mail survey technique including,reduced time and cost of conducting the survey and avoiding the often error prone and tedious task of data entry.

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The authors describe a pilot project to standardize local laboratory data at five Indian Health Service (IHS) medical facilities by mapping laboratory test names to Logical Observation Identifier Names and Codes (LOINC). An automated mapping tool was developed to assign LOINC codes. At these sites, they were able to map from 63% to 76% of the local active laboratory tests to LOINC using the mapping tool.

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We describe a pilot project to standardize local laboratory test names to Logical Observation Identifier Names and Codes (LOINC) at five Indian Health Service (IHS) medical facilities. An automated mapping tool was developed to assign LOINC codes. The laboratory test names not mapped to LOINC by the mapping tool were assigned LOINC codes manually.

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