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Matthew Scotch

Professor (Health informatics and information systems)

Tempe, AZ

Matthew Scotch is Assistant Dean of Research and Professor of Biomedical Informatics in the College of Health Solutions. He is also Assistant Director of the Biodesign Center for Environmental Health Engineering at Arizona State University. His research focuses on genomic epidemiology and bioinformatics of RNA viruses with a particular interest in influenza A viruses. Current projects include studying approaches to advance genomic epidemiology by enrichment of virus sequence metadata (funding: NIH/NIAID 1R01AI164481-01A1) and analysis of viruses from wastewater using bioinformatics (funding: NIH/NLM U01LM013129). The latter is partially funded by the NIH RADx-rad initiative. His lab group is also interested in the molecular epidemiology of viruses including the amplification and sequencing of influenza A and B viruses for short and long-read high-throughput sequencing (HTS) and public health surveillance.

Publications

  • Use of structured and unstructured data to identify contraceptive use in women veterans.
  • Diffusion of influenza viruses among migratory birds with a focus on the Southwest United States
  • Evolution of 2014/15 H3N2 influenza viruses circulating in US: Consequences for vaccine effectiveness and possible new pandemic
  • Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter
  • Phylogeography of swine influenza H3N2 in the United States: Translational public health for zoonotic disease surveillance
  • Examining the differences in format and characteristics of zoonotic virus surveillance data on state agency websites
  • Using value of information to guide evaluation of decision supports for differential diagnosis: Is it time for a new look?
  • Wastewater-Based Epidemiology and Long-Read Sequencing to Identify Enterovirus Circulation in Three Municipalities in Maricopa County, Arizona, Southwest United States between June and October 2020
  • The Phylogeography of MERS-CoV in Hospital Outbreak-Associated Cases Compared to Sporadic Cases in Saudi Arabia
  • Pan-Enterovirus Amplicon-Based High-Throughput Sequencing Detects the Complete Capsid of a EVA71 Genotype C1 Variant via Wastewater-Based Epidemiology in Arizona
  • High-throughput sequencing of SARS-CoV-2 in wastewater provides insights into circulating variants.
  • Incorporating sampling uncertainty in the geospatial assignment of taxa for virus phylogeography.
  • Coding-Complete Genome Sequence of a Human Respirovirus 1 Strain from a Clinical Sample in Arizona.
  • Bayesian Phylogeography and Pathogenic Characterization of Smallpox Based on HA, ATI, and CrmB Genes.
  • A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks.
  • Named entity linking of geospatial and host metadata in GenBank for advancing biomedical research.
  • Patterns and Disparities in Human Papillomavirus (HPV) Vaccine Uptake for Young Female Adolescents among U.S. States: NIS-Teen (2008-2016).
  • An 81-Nucleotide Deletion in SARS-CoV-2 ORF7a Identified from Sentinel Surveillance in Arizona (January to March 2020).
  • Mathematical assessment of the impact of non-pharmaceutical interventions on curtailing the 2019 novel Coronavirus.
  • Use of hemagglutinin and neuraminidase amplicon-based high-throughput sequencing with variant analysis to detect co-infection and resolve identical consensus sequences of seasonal influenza in a university setting.
  • The Molecular Epidemiology and Clinical Phylogenetics of Rhinoviruses Among Paediatric Cases in Sydney, Australia.
  • From bad to worse: airline boarding changes in response to COVID-19.
  • GeoBoost2: a natural languageprocessing pipeline for GenBank metadata enrichment for virus phylogeography.
  • Going back to the roots: Evaluating Bayesian phylogeographic models with discrete trait uncertainty.
  • Identifying current and emerging resources and tools utilized for detection, prediction, and visualization of viral zoonotic disease clusters: a Delphi study.
  • Phylodynamics of Influenza A/H1N1pdm09 in India Reveals Circulation Patterns and Increased Selection for Clade 6b Residues and Other High Mortality Mutants.
  • Avian influenza virus ecology and evolution through a climatic lens.
  • Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature.
  • U.S. nationwide reconnaissance of ten infrequently monitored antibiotics in municipal biosolids.
  • Phylogeography of H5N1 avian influenza virus in Indonesia.
  • Characterising routes of H5N1 and H7N9 spread in China using Bayesian phylogeographical analysis.
  • The effects of random taxa sampling schemes in Bayesian virus phylogeography.
  • Deep neural networks and distant supervision for geographic location mention extraction.
  • The Effects of Sampling Location and Predictor Point Estimate Certainty on Posterior Support in Bayesian Phylogeographic Generalized Linear Models.
  • Converging and emerging threats to health security.
  • Extracting geographic locations from the literature for virus phylogeography using supervised and distant supervision methods.
  • Does influenza pandemic preparedness and mitigation require gain-of-function research?
  • Multiscale model for pedestrian and infection dynamics during air travel.
  • Conceptualizing a Novel Quasi-Continuous Bayesian Phylogeographic Framework for Spatiotemporal Hypothesis Testing.
  • Bayesian phylogeography of influenza A/H3N2 for the 2014-15 season in the United States using three frameworks of ancestral state reconstruction.
  • A high-precision rule-based extraction system for expanding geospatial metadata in GenBank records.
  • Analyses of Merging Clinical and Viral Genetic Data for Influenza Surveillance.
  • Analysis of Viral Genetics for Estimating Diffusion of Influenza A H6N1.
  • Natural language processing methods for enhancing geographic metadata for phylogeography of zoonotic viruses.
  • Generalized linear models for identifying predictors of the evolutionary diffusion of viruses.
  • Comparison of ARIMA and Random Forest time series models for prediction of avian influenza H5N1 outbreaks
  • Phylogeography of influenza A H5N1 clade 2.2.1.1 in Egypt
  • Knowledge-driven geospatial location resolution for phylogeographic models of virus migration
  • In silico analysis suggests interaction between Ebola virus and the extracellular matrix
  • Combining phylogeography and spatial epidemiology to uncover predictors of H5N1 influenza A virus diffusion
  • SOVAT: Spatial OLAP visualization and analysis tool
  • The sublanguage of cross-coverage.
  • Rural residence is associated with delayed care entry and increased mortality among veterans with human immunodeficiency virus infection
  • Comparison of Human and Animal Surveillance Data for H5N1 Influenza A in Egypt 2006-2011
  • A Qualitative Study of State-Level Zoonotic Disease Surveillance in New England
  • HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0
  • Web GIS in practice VI: A demo playlist of geo-mashups for public health neogeographers
  • Linkages between animal and human health sentinel data
  • The Yale cTAKES extensions for document classification: Architecture and application
  • Evaluation of SOVAT: An OLAP-GIS decision support system for community health assessment data analysis
  • Development of SOVAT: A numerical-spatial decision support system for community health assessment research
  • Development of grid-like applications for public health using Web 2.0 mashup techniques.
  • Human and animal sentinels for shared health risks.
  • Usability Evaluation of the Spatial OLAP Visualization and Analysis Tool (SOVAT).
  • Risk factors for human infection with West Nile Virus in Connecticut: A multi-year analysis
  • Animals as sentinels: Using comparative medicine to move beyond the laboratory
  • A comparison of two approaches to text processing: facilitating chart reviews of radiology reports in electronic medical records.
  • Enhancing phylogeography by improving geographical information from GenBank
  • Biomedical informatics techniques for processing and analyzing Web blogs of military service members
  • Human vs. animal outbreaks of the 2009 swine-origin H1N1 influenza A epidemic
  • Use of statistical analysis in the biomedical informatics literature
  • At the intersection of public-health informatics and bioinformatics: Using advanced Web technologies for phylogeography
  • Spatial and multidimensional visualization of Indonesia's village health statistics
  • State-level zoonotic disease surveillance in the United States
  • Exploring the role of GIS during community health assessment problem solving: Experiences of public health professionals
  • Next generation sequencing of human enterovirus strains from an outbreak of enterovirus A71 shows applicability to outbreak investigations
  • Correction to: A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks
  • Genomic epidemiology reveals the dominance of Hennepin County in transmission of SARS-CoV-2 in Minnesota from 2020-2022
  • GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records
  • SEED: Symptom Extraction from English Social Media Posts using Deep Learning and Transfer Learning
  • Identifying mitigation strategies for COVID-19 superspreading on flights using models that account for passenger movement
  • Genome Sequences of Anelloviruses, Genomovirus, and Papillomavirus Isolated from Nasal Pharyngeal Swabs
  • Complete Coding Sequences of Rhinovirus Types A46, A39, C56, and C48
  • Rhizobium Phage-Like Microvirus Genome Sequence Identified in Wastewater in Arizona, USA, in November 2020 Encodes an Endolysin and a Putative Multiheme Cytochrome c -like Protein
  • Patient-Related Metadata Reported in Sequencing Studies of SARS-CoV-2: Protocol for a Scoping Review and Bibliometric Analysis
  • Foundational Domains and Competencies for Baccalaureate Health Informatics Education
  • Text mining biomedical literature to identify extremely unbalanced data for digital epidemiology and systematic reviews: dataset and methods for a SARS-CoV-2 genomic epidemiology study
  • Foundational domains and competencies for baccalaureate health informatics education
  • Canine Parvovirus 2C Identified in Dog Feces from Poop Bags Collected from Outdoor Waste Bins in Arizona USA, June 2022
  • Genomic epidemiology reveals the dominance of Hennepin County in the transmission of SARS-CoV-2 in Minnesota from 2020 to 2022
  • Genome characterization of influenza A and B viruses in New South Wales, Australia, in 2019: A retrospective study using high‐throughput whole genome sequencing

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