Research output per year
Research output per year
Personal profile
Research interests
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Dive into the research topics where Matthew Scotch is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Direct detection of canine picornavirus complete coding sequence in wastewater using long-range reverse-transcriptase polymerase chain reaction and long-read sequencing
Faleye, T. O. C., Driver, E. M., Wright, J. M., Halden, R. U., Varsani, A. & Scotch, M., Mar 2024, In: Infection, Genetics and Evolution. 118, 105550.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Genome characterization of influenza A and B viruses in New South Wales, Australia, in 2019: A retrospective study using high-throughput whole genome sequencing
Wang, X., Kim, K. W., Walker, G., Stelzer-Braid, S., Scotch, M. & Rawlinson, W. D., Jan 2024, In: Influenza and other Respiratory Viruses. 18, 1, e13252.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread
Züfle, A., Salim, F., Anderson, T., Scotch, M., Xiong, L., Sokol, K., Xue, H., Kong, R., Heslop, D., Paik, H. Y. & Macintyre, C. R., Jul 1 2024, In: ACM Transactions on Spatial Algorithms and Systems. 10, 2, 17.Research output: Contribution to journal › Article › peer-review
Open Access -
Parametric analysis of SARS-CoV-2 doseresponse models in transportation scenarios
Wu, Y., Namilae, S., Srinivasan, A., Mubayi, A. & Scotch, M., Jun 2024, In: PloS one. 19, 6 June, e0301996.Research output: Contribution to journal › Article › peer-review
Open Access -
Canine Parvovirus 2C Identified in Dog Feces from Poop Bags Collected from Outdoor Waste Bins in Arizona USA, June 2022
Faleye, T. O. C., Driver, E. M., Bowes, D. A., Smith, A., Kaiser, N. A., Wright, J. M., Chapman, A. R., Halden, R. U., Varsani, A. & Scotch, M., 2023, In: Transboundary and Emerging Diseases. 2023, 5596886.Research output: Contribution to journal › Article › peer-review
Open Access
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Collaborative Research: NSF-CSIRO: HCC: Small: NSF-CSIRO: Understanding Bias in AI Models for the Prediction of Infectious Disease Spread
Scotch, M. (PI)
National Science Foundation (NSF)
4/1/23 → 3/31/26
Project: Research project
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Platform to Assess Influenza and COVID-19 Vaccine Effectiveness in Underserved Arizona Populations - Components A & D
Magee, M. (CoI), Doane, L. (CoI), Lim, E. (CoI), Chung, Y. (CoI), Scotch, M. (CoI), Murugan, V. (PI) & Cruz, R. (CoI)
HHS: Centers for Disease Control and Prevention (CDC)
9/30/22 → 9/29/27
Project: Research project
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Advancing environmental surveillance for pandemic prediction in remote and resource poor settings
Scotch, M. (PI)
National Science Foundation (NSF)
8/1/22 → 1/31/25
Project: Research project
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PhD Support Peter Skidmore
Scotch, M. (PI)
OTHER: Arizona Public University (ABOR)
8/16/23 → 5/4/24
Project: Research project
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Genomic epidemiology of highly pathogenic avian influenza virus in the Southwest United States
Varsani, A. (CoI), McGraw, K. (CoI) & Scotch, M. (PI)
OTHER: Arizona Public University (ABOR)
6/1/23 → 1/17/24
Project: Research project
Datasets
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MOESM4 of A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks
Beard, R. (Creator), Wentz, E. (Creator) & Scotch, M. (Creator), Figshare, 2018
DOI: 10.6084/m9.figshare.7274873, https://springernature.figshare.com/articles/MOESM4_of_A_systematic_review_of_spatial_decision_support_systems_in_public_health_informatics_supporting_the_identification_of_high_risk_areas_for_zoonotic_disease_outbreaks/7274873
Dataset
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MOESM3 of A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks
Beard, R. (Creator), Wentz, E. (Creator) & Scotch, M. (Creator), Figshare, 2018
DOI: 10.6084/m9.figshare.7274867, https://springernature.figshare.com/articles/MOESM3_of_A_systematic_review_of_spatial_decision_support_systems_in_public_health_informatics_supporting_the_identification_of_high_risk_areas_for_zoonotic_disease_outbreaks/7274867
Dataset
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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
Faleye, T. O. C. (Creator), Adams, D. (Creator), Adhikari, S. (Creator), Sandrolini, H. (Creator), Halden, R. U. (Creator), Varsani, A. (Creator) & Scotch, M. (Creator), Figshare, 2021
DOI: 10.6084/m9.figshare.c.5563272.v1, https://springernature.figshare.com/collections/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/5563272/1
Dataset
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MOESM1 of A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks
Beard, R. (Creator), Wentz, E. (Creator) & Scotch, M. (Creator), figshare Academic Research System, 2018
DOI: 10.6084/m9.figshare.7274852.v1, https://springernature.figshare.com/articles/MOESM1_of_A_systematic_review_of_spatial_decision_support_systems_in_public_health_informatics_supporting_the_identification_of_high_risk_areas_for_zoonotic_disease_outbreaks/7274852/1
Dataset
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Characterising routes of H5N1 and H7N9 spread in China using Bayesian phylogeographical analysis
Bui, C. M. (Creator), Adam, D. C. (Creator), Njoto, E. (Creator), Scotch, M. (Creator) & MacIntyre, C. R. (Creator), Taylor & Francis, 2019
DOI: 10.6084/m9.figshare.7936814, https://tandf.figshare.com/articles/dataset/Characterising_routes_of_H5N1_and_H7N9_spread_in_China_using_Bayesian_phylogeographical_analysis/7936814
Dataset