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Peter's Research
Peter's Research
Peter's research is to integrate population health and geospatial data layers with artificial intelligence (AI)-generated information from remote sensing for advanced predictive and prescriptive analytics of population phenomena such as the COVID-19 outbreak. Use cutting edge and best practice analytical techniques, we will extract information from multi-dimensional heterogeneous complex data collections such as environmental time series; multiscale-images; epidemiological and spaceborne sensor data. Extracted information can include multiscale convolutional features from high-resolution images; time dependent characterizations; and complex multi-model behavior. Such features are critical to the etiology of any phenomena. I thrive on new approaches to complex problems involving complex data.
Open Access Paper:
PhD Candidate, Informatics
PhD Candidate, Informatics
Research Focus:
Research Focus:
Geospatial AI for Health & Disease Management
Deep Learning Analysis of Space-borne Sensors for Health Mapping
Epidemiological Analytics
Education
Education
Master of Science: Health and Bioinformatics, 2022
University of Missouri
Master of Business Administration: Health Sector Management and Finance, 2016
DePaul University
Graduate Certificate: Data Science and Analytics, 2021
University of Missouri
Bachelor of Science: Biology, minor Chemistry, 2013
University of Houston
Publications
Publications
Dahu BM, Alshehri M, Toubal IE, Martinez-Villar CI, Ogundele O, Khan S, Sheets LR, Scott GJ. Investigating the Relationship Between Built Environment Traits and Obesity Rates: A Predictive Analysis Using Deep Neural Visual Features (DNVF) and Spatial Data. The Journal of Medical Internet Research (JMIR) - (In Preparation).
Dahu BM, Martinez-Villar CI, Toubal IE, Ouadou A, Alshehri M, Khan S, Sheets LR, Scott GJ. Application of Deep Neural Visual Features to Examine the Association between Built Environment and Prevalence Obesity in Missouri. The Journal of American Medical Informatics Association (JAMIA) submitted on January 29, 2024 (Under Review).
Dahu BM, Khan S, Sheets LR, Scott GJ. Exploring the Geospatial Relationship between COVID-19 Testing, Positivity Rates, and Income in Mixed Urban-Rural Population in Boone County, Missouri. MEDINFO 2023 Conference. Sydney, Australia. January 2024. https://doi.org/10.3233/SHTI231180
Dahu BM, Khan S, Salman AA, Andraws YM, Daken AA, Aburayya A, Epidemiological Analysis of Vaccination Strategies and Demographic Patterns In COVID-19 Cases in The Midwest Region of The United States. National Journal of Community Medicine. January 2024. https://10.55489/njcm.150120243461
Nowbuth AA, Asombang AW, Alaboud K, Souque C, Pather K, Dahu BM, Lotfi S, Mwanza MM, Parmar Singh V. Gamification as an educational tool to address antimicrobial resistance: a systematic review. European Journal of Public Health. December 2023. https://doi.org/10.1093/jacamr/dlad130
Nowbuth AA, Asombang AW, Alaboud K, Souque C, Pather K, Dahu BM, Lotfi S, Mwanza MM, Parmar Singh V. Evaluating Gamification of Antimicrobial Resistance as an Educational Tool: A Systematic Review. European Journal of Public Health. October 2023. https://doi.org/10.1093/eurpub/ckad160.1013
Dahu BM, Khan S, Li WS, Shu X, Woldu H, Popescu M, Sheets LR, Scott GJ. Demographic and Time Trend Analysis of COVID-19 Test Results of Boone County, Missouri. AMIA 2023 Informatics Summit. Seattle, Washington, United States. June 16, 2023. PMID: 37350871. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10283117/
Dahu BM, Alaboud K, Nowbuth AA, Puckett HM, Scott GJ, Sheets LR. The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review. International Journal of Environmental Research and Public Health (IJERPH). March 2023. https://doi.org/10.3390/ijerph20054298
Dahu BM, Aburayya A, Shameem B, Shwedeh F, Alawadhi M, Aljasmi S, Salloum SA, Aburayya H, Aburayya I. The Impact of COVID-19 Lockdowns on Air Quality: A Systematic Review Study. South Eastern European Journal of Public Health (SEEJPH). October 2022. https://doi.org/10.11576/seejph-5929
Khan S, Dahu BM, Scott GJ. A Spatio-temporal Study of Changes in Air Quality from Pre COVID-Era to Post-COVID Era in Chicago, USA. Aerosol and Air Quality Research (AAQR). May 2022. https://doi.org/10.4209/aaqr.220053
Cao Y, Dahu BM, Scott GJ. A Geographic Computational Visual Feature Database for Natural and Anthropogenic Phenomena Analysis from Multi-Resolution Remote Sensing Imagery. 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020). Seattle, Washington, United States. November 2020. https://doi.org/10.1145/3423336.3429349
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