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Matthew Scotch

Associate Professor, Department of Biomedical Informatics

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 (480) 727-2985
 CV

Education

  • 2008, Postdoctoral Fellow Biomedical Informatics, Yale University
  • 2007, M.P.H. Public Health, Yale University
  • 2006, Ph.D. Biomedical Informatics, University of Pittsburgh

Media Coverage

ASU study reveals ways to keep you healthier on planes  
School of Human Evolution and Social Change, August 4, 2017

Biography

Dr. Matthew Scotch is an Associate Professor in the Department of Biomedical Informatics and Assistant Director of the Biodesign Center for Environmental Security at Arizona State University. His research focuses on the theory and application of phylogeography to study the migration of zoonotic RNA viruses with a particular interest in influenza A viruses. Work in his lab includes the integration, analysis, and presentation of viral genetics for public health/animal health surveillance.

Research Interests

  • Bioinformatics for Public Health (systems that leverage molecular sequence data to support decision-making at health agencies)
  • Zoonotic disease surveillance (linking health data on animal and humans)
  • Phylogeography of zoonotic RNA viruses
  • Molecular epidemiology of zoonotic RNA viruses
  • Sequencing and analysis of the Influenza A genome
  • Geographical Information Systems (GIS)
  • Natural Language Processing (NLP)

Related Links:

Research Publications

  • Kane MJ, Price N, Scotch M, Rabinowitz P. Comparison of ARIMA and random forest time series models for prediction of avian influenza H5N1 outbreaks. BMC Bioinformatics (2014).
  • Scotch M, Lam TT, Pabilonia KL, Anderson T, Baroch J, Kohler D, DeLiberto TJ. Diffusion of influenza viruses among migratory birds with a focus on the Southwest United States. Infection Genetics Evolution (2014).
  • Beard R, Magee D, Suchard MA, Lemey P, Scotch M. Generalized Linear Models for Identifying Predictors of the Evolutionary Diffusion of Viruses. American Medical Informatics Association 2014 Joint Summits on Translational Science (2014).
  • Tahsin T, Rivera R, Beard R, Lauder R, Weissenbacher D, Scotch M, Wallstrom G, Gonzalez G. Natural language processing methods for enhancing geographic metadata for phylogeography of zoonotic viruses. Proceedings of the 2014 Workshop on Biomedical Natural Language Processing (BioNLP 2014) (2014).
  • Braithwaite RS, Scotch M. Using value of information to guide evaluation of decision supports for differential diagnosis: is it time for a new look?. BMC Med Inform Decis Mak (2013).
  • Scotch M, Baarson B, Beard R, Lauder R, Varman A, Halden RU. Examining the differences in format and characteristics of zoonotic virus surveillance data on state agency websites. J Med Internet Res (2013).
  • Scotch M, Mei C, Makonnen YJ, Pinto J, Ali A, Vegso S, Kane M, Sarkar IN, Rabinowitz P. Phylogeography of influenza A H5N1 clade 2.2.1.1 in Egypt. BMC Genomics (2013).
  • Scotch M, Mei C. Phylogeography of swine influenza H3N2 in the United States: Translational public health for zoonotic disease surveillance. Infect Genet Evol (2013).
  • Womack JA, Scotch M, Leung SN, Skanderson M, Bathulapalli H, Haskell SG, Brandt CA. Use of structured and unstructured data to identify contraceptive use in women veterans. Perspect Health Inf Manag (2013).
  • Rabinowitz PM, Galusha D, Vegso S, Michalove J, Rinne S, Scotch M, Kane M. Comparison of human and animal surveillance data for H5N1 influenza A in Egypt 2006-2011. PLoS One (2012).
  • Konovalov S, Scotch M, Post L, Brandt C. Biomedical informatics techniques for processing and analyzing web blogs of military service members. Journal of Medical Internet Research (2010).
  • Ohl M, Tate J, Duggal M, Skanderson M, Scotch M, Kaboli P, Vaughan-Sarrazin M, Justice A. Rural residence is associated with delayed care entry and increased mortality among veterans with human immunodeficiency virus infection. Medical Care (2010).
  • Rabinowitz PR, Scotch M, Conti LA. Animals as Sentinels: Using Comparative Medicine to Move Beyond the Laboratory. Institute for Laboratory Animal Research Journal (2010).
  • Scotch M, Duggal M, Brandt C, Lin Z, Shiffman R. Use of Statistical Analysis in the Biomedical Informatics Literature. Journal of the American Medical Informatics Association (2010).
  • Scotch M, Mei C, Brandt C, Sarkar IN, Cheung K. At the intersection of public-health informatics and bioinformatics: using advanced Web technologies for phylogeography. Epidemiology (2010).
  • Womack JA, Scotch M, Gibert C, Chapman W, Yin M, Justice AC, Brandt C. A comparison of two approaches to text processing: facilitating chart reviews of radiology reports in electronic medical records. Perspectives in Health Information Management (2010).
  • Liu A, Lee V, Galusha D, Slade MD, Diuk-Wasser M, Andreadis T, Scotch M, Rabinowitz PM. Risk factors for human infection with West Nile Virus in Connecticut: a multi-year analysis. Int J Health Geogr (2009).
  • Rabinowitz P, Scotch M, Conti L. Human and animal sentinels for shared health risks. Vet Ital (2009).
  • Scotch M, Odofin L, Rabinowitz P. Linkages between animal and human health sentinel data. BMC Vet Res (2009).
  • Boulos MN, Scotch M, Cheung KH, Burden D. Web GIS in practice VI: a demo playlist of geo-mashups for public health neogeographers. Int J Health Geogr (2008).
  • Cheung KH, Yip KY, Townsend JP, Scotch M. HCLS 2.0/3.0: health care and life sciences data mashup using Web 2.0/3.0. J Biomed Inform (2008).
  • Parmanto B, Paramita MV, Sugiantara W, Pramana G, Scotch M, Burke DS. Spatial and multidimensional visualization of Indonesia's village health statistics. Int J Health Geogr (2008).
  • Scotch M, Parmanto B, Monaco V. Evaluation of SOVAT: an OLAP-GIS decision support system for community health assessment data analysis. BMC Med Inform Decis Mak (2008).
  • Scotch M, Yip KY, Cheung KH. Development of grid-like applications for public health using Web 2.0 mashup techniques. Journal of the American Medical Informatics Association (2008).
  • Scotch M, Parmanto B, Monaco V. Usability Evaluation of the Spatial OLAP Visualization and Analysis Tool (SOVAT). Journal of Usability Studies (2007).
  • Scotch M, Parmanto B, Gadd CS, Sharma RK. Exploring the role of GIS during community health assessment problem solving: experiences of public health professionals. Int J Health Geogr (2006).
  • Parmanto B, Scotch M, Ahmad S. A framework for designing a healthcare outcome data warehouse. Perspect Health Inf Manag (2005).
  • Scotch M, Parmanto B. SOVAT: Spatial OLAP Visualization and Analysis Tool. HICSS-38 (2005).
  • Parmanto B, Scotch M. Mining Information from Mountains of Electronic Health Record: Unique Challenges and Solutions. Proceedings of AHIMA (2003).
  • Stetson PD, Johnson SB, Scotch M, Hripcsak G. The sublanguage of cross-coverage. Proc AMIA Symp (2002).

Research Activity