Matthew Scotch

ORCID: 0000-0001-5100-9724
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About
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Research Areas
  • Influenza Virus Research Studies
  • Data-Driven Disease Surveillance
  • COVID-19 epidemiological studies
  • Zoonotic diseases and public health
  • Respiratory viral infections research
  • Animal Disease Management and Epidemiology
  • Viral gastroenteritis research and epidemiology
  • Biomedical Text Mining and Ontologies
  • Genomics and Phylogenetic Studies
  • Viral Infections and Vectors
  • SARS-CoV-2 and COVID-19 Research
  • Evacuation and Crowd Dynamics
  • Animal Virus Infections Studies
  • Viral Infections and Immunology Research
  • Topic Modeling
  • Bacteriophages and microbial interactions
  • SARS-CoV-2 detection and testing
  • Plant Virus Research Studies
  • Viral Infections and Outbreaks Research
  • Data Quality and Management
  • Species Distribution and Climate Change
  • Geographic Information Systems Studies
  • Infection Control and Ventilation
  • Genetic diversity and population structure
  • Advanced Graph Theory Research

Arizona State University
2016-2025

Center for Environmental Health
2017-2025

UNSW Sydney
2017-2024

WinnMed
2022-2023

Mayo Clinic in Florida
2022-2023

VA Connecticut Healthcare System
2011-2015

Defense Systems (United States)
2014-2015

Yale University
2008-2011

Yale Cancer Center
2010

University of Pittsburgh
2005-2008

Time series models can play an important role in disease prediction. Incidence data be used to predict the future occurrence of events. Developments modeling approaches provide opportunity compare different time for predictive power.We applied ARIMA and Random Forest incidence outbreaks highly pathogenic avian influenza (H5N1) Egypt, available through online EMPRES-I system. We found that model outperformed ability. Furthermore, we is effective predicting H5N1 Egypt.Random provides enhanced...

10.1186/1471-2105-15-276 article EN cc-by BMC Bioinformatics 2014-08-13

Prescription medication overdose is the fastest growing drug-related problem in USA. The nature of this necessitates implementation improved monitoring strategies for investigating prevalence and patterns abuse specific medications.Our primary aims were to assess possibility utilizing social media as a resource automatic prescription devise an classification technique that can identify potentially abuse-indicating user posts.We collected Twitter posts (tweets) associated with three commonly...

10.1007/s40264-015-0379-4 article EN cc-by-nc Drug Safety 2016-01-09

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) likely emerged from a zoonotic spill-over event and has led to global pandemic. The public health response been predominantly informed by surveillance of symptomatic individuals contact tracing, with quarantine, other preventive measures have then applied mitigate further spread. Non-traditional methods such as genomic epidemiology wastewater-based (WBE) also leveraged during this Genomic uses high-throughput sequencing SARS-CoV-2...

10.1016/j.watres.2021.117710 article EN cc-by-nc-nd Water Research 2021-09-27

The 2023-24 U.S. influenza season was characterized by a predominance of A(H1N1)pdm09 virus circulation with co-circulation A(H3N2) and B/Victoria viruses. We estimated vaccine effectiveness (VE) in the United States against mild-to-moderate medically attended illness season. enrolled outpatients aged ≥8 months acute respiratory 7 states. Respiratory specimens were tested for type/subtype reverse-transcriptase polymerase chain reaction (RT-PCR). Influenza VE test-negative design comparing...

10.1093/cid/ciae658 article EN Clinical Infectious Diseases 2025-01-06

Open-source clinical natural-language-processing (NLP) systems have lowered the barrier to development of effective document classification systems. Clinical annotate syntax and semantics text; however, feature extraction representation for pose technical challenges.

10.1136/amiajnl-2011-000093 article EN Journal of the American Medical Informatics Association 2011-05-28

Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged from a zoonotic spill-over event and has led to global pandemic. The public health response been predominantly informed by surveillance of symptomatic individuals contact tracing, with quarantine, other preventive measures have then applied mitigate further spread. Non-traditional methods such as genomic epidemiology wastewater-based (WBE) also leveraged during this Genomic uses high-throughput sequencing...

10.1101/2021.01.22.21250320 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2021-01-25

Context: Rural persons with human immunodeficiency virus (HIV) face many barriers to care, but little is known about rural-urban variation in HIV outcomes. Objective: To determine the association between rural residence and Design, Setting, Patients: Retrospective cohort study of mortality among initiating care Veterans Administration (VA) during 1998–2006, follow-up through 2008. was determined using Urban Commuting Area codes. We identified 8489 VA no evidence combination antiretroviral...

10.1097/mlr.0b013e3181ef60c2 article EN Medical Care 2010-10-19

Abstract A pandemic of a novel Coronavirus emerged in December 2019 (COVID-19), causing devastating public health impact across the world. In absence safe and effective vaccine or antivirals, strategies for controlling mitigating burden are focused on non-pharmaceutical interventions, such as social-distancing, contact-tracing, quarantine, isolation use face-masks public. We develop new mathematical model assessing population-level aforementioned control mitigation strategies. Rigorous...

10.1101/2020.04.15.20066480 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-04-18

Wastewater-based epidemiology (WBE) is a non-invasive and cost-effective approach for monitoring the spread of pathogen within community. WBE has been adopted as one methods to monitor population dynamics SARS-CoV-2 virus, but significant challenges remain in bioinformatic analysis WBE-derived data. Here, we have developed new distance metric, CoVdist, an associated tool that facilitates application ordination data identification viral changes based on nucleotide variants. We applied these...

10.1016/j.scitotenv.2023.162862 article EN cc-by The Science of The Total Environment 2023-03-16

Abstract Background During the 2019 severe influenza season, New South Wales (NSW) experienced highest number of cases in Australia. This study retrospectively investigated genetic characteristics viruses circulating NSW and identified markers related to antiviral resistance potential virulence. Methods The complete genomes A B were amplified using reverse transcription‐polymerase chain reaction (PCR) sequenced with an Illumina MiSeq platform. Results When comparing sequencing data vaccine...

10.1111/irv.13252 article EN cc-by Influenza and Other Respiratory Viruses 2024-01-01

'Mashup' was originally used to describe the mixing together of musical tracks create a new piece music. The term now refers Web sites or services that weave data from different sources into source service. Using metaphor builds on origin word 'mashup', this paper presents demonstration "playlist" four geo-mashup vignettes make use range 2.0, Semantic Web, and 3-D Internet methods, with outputs/end-user interfaces spanning flat (two-dimensional – 2-D maps), three-dimensional mirror world...

10.1186/1476-072x-7-38 article EN cc-by International Journal of Health Geographics 2008-01-01

Phylogeography is a field that focuses on the geographical lineages of species such as vertebrates or viruses. Here, data, location viral host important sequence information extracted from species. Together, this can help illustrate migration over time within area, impact geography evolutionary history, expected population area. Molecular data NCBI, specifically GenBank, provide an abundance available for phylogeography. However, inconsistently represented and sparse across GenBank entries....

10.1016/j.jbi.2011.06.005 article EN cc-by-nc-nd Journal of Biomedical Informatics 2011-06-28
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