Matthew Scotch

h-index

Research activity per year

Research interests

Fingerprint

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.

1 Similar Profiles

91 Article
9 Conference contribution
7 Review article
3 Comment/debate
More

A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models
Stone, H., Du, J., Xue, H., Scotch, M., Heslop, D., Zufle, A., Macintyre, C. R. & Salim, F., Dec 12 2025, 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2025. Mokbel, M., Shekar, S., Zufle, A., Chiang, Y.-Y., Damiani, M. L. & Youssef, M. (eds.). Association for Computing Machinery, Inc, p. 646-655 10 p. (33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2025).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
Campus-based genomic surveillance uncovers early emergence of a future dominant A(H3N2) influenza clade
Scotch, M., Faleye, T. O. C., Wright, J. M., Finnerty, S., Halden, R. U. & Varsani, A., Dec 19 2025, In: iScience. 28, 12, 113941.
Research output: Contribution to journal › Article › peer-review

Open Access
Canine Parvovirus and Vaccine-Origin Feline Panleukopenia Virus in Wastewater, Arizona, USA: July 2022–June 2023
Vargas, J., Bermudez-Rivera, B., Block, I., Shaffer, G., Estrada, L., Dadd, T., Dickerson, T., Curtis, C., Woods, C., Driver, E. M., Halden, R. U., Varsani, A., Scotch, M. & Faleye, T. O. C., Sep 2025, In: Microorganisms. 13, 9, 2124.
Research output: Contribution to journal › Article › peer-review

Open Access
EpiScale: Large-Scale Simulation of Infectious Disease Based on Human Mobility
Kong, R., Anderson, T., Heslop, D. J., Scotch, M., Salim, F. D., Macintyre, C. R. & Zufle, A., Dec 12 2025, 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2025. Mokbel, M., Shekar, S., Zufle, A., Chiang, Y.-Y., Damiani, M. L. & Youssef, M. (eds.). Association for Computing Machinery, Inc, p. 828-831 4 p. (33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2025).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
Implementing Wastewater-Based Epidemiology for Long-Read Metagenomic Sequencing of Antimicrobial Resistance in Kampala, Uganda
Strike, W., Faleye, T. O. C., Lubega, B., Rockward, A., Torabi, S., Noble, A., Banadaki, M. D., Keck, J., Mugerwa, H., Scotch, M. & Berry, S., Jun 2025, In: Microorganisms. 13, 6, 1240.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Link opens in a new tab Scopus citations

2 Active
30 Finished

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
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
PhD Support Peter Skidmore
Scotch, M. (PI)
OTHER: Arizona Public University (ABOR)
8/16/23 → 5/4/24
Project: Research project
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
COVID-Platform to Assess Influenza and COVID-19 Vaccine Effectiveness in Underserved Arizona Populations
Magee, M. (CoI), Murugan, V. (PI), Lim, E. (CoI), Scotch, M. (CoI), Doane, L. (CoI), Chung, Y. (CoI) & Cruz, R. (CoI)
HHS: Centers for Disease Control and Prevention (CDC)
9/30/22 → 9/29/24
Project: Research project

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 Academic Research System, 2018
DOI: 10.6084/m9.figshare.7274873.v1, 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/7274873/1
Dataset
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.c.4285127, https://figshare.com/collections/A_systematic_review_of_spatial_decision_support_systems_in_public_health_informatics_supporting_the_identification_of_high_risk_areas_for_zoonotic_disease_outbreaks/4285127
Dataset
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
MOESM2 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.7274858.v1, https://springernature.figshare.com/articles/MOESM2_of_A_systematic_review_of_spatial_decision_support_systems_in_public_health_informatics_supporting_the_identification_of_high_risk_areas_for_zoonotic_disease_outbreaks/7274858/1
Dataset
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 Academic Research System, 2018
DOI: 10.6084/m9.figshare.7274867.v1, 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/7274867/1
Dataset

Matthew Scotch

Personal profile

Research interests

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models

Campus-based genomic surveillance uncovers early emergence of a future dominant A(H3N2) influenza clade

Canine Parvovirus and Vaccine-Origin Feline Panleukopenia Virus in Wastewater, Arizona, USA: July 2022–June 2023

EpiScale: Large-Scale Simulation of Infectious Disease Based on Human Mobility

Implementing Wastewater-Based Epidemiology for Long-Read Metagenomic Sequencing of Antimicrobial Resistance in Kampala, Uganda

Collaborative Research: NSF-CSIRO: HCC: Small: NSF-CSIRO: Understanding Bias in AI Models for the Prediction of Infectious Disease Spread

Platform to Assess Influenza and COVID-19 Vaccine Effectiveness in Underserved Arizona Populations - Components A & D

PhD Support Peter Skidmore

Genomic epidemiology of highly pathogenic avian influenza virus in the Southwest United States

COVID-Platform to Assess Influenza and COVID-19 Vaccine Effectiveness in Underserved Arizona Populations

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

A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks

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

MOESM2 of A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks

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

Matthew Scotch

Personal profile

Research interests

Fingerprint

Collaborations and top research areas from the last five years

Research output

Projects

Datasets