Geoinformatics and Spatial Data Science researcher with interests spanning spatial modelling, spatial statistics, GIS, computational public health, earth observation, and remote sensing. My research uses spatial data and quantitative methods to study disease dynamics, human mobility, and environmental systems; currently integrating multi-source population flow data with Bayesian spatiotemporal modelling to understand infectious disease transmission dynamics at fine spatial scales. I also work on reproducible research, open science, and the development of spatial decision-support tools, combining spatial statistics, GIS, and data engineering with programming for scalable analytics across public health and environmental applications.
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Institute for Geoinformatics, Universität Münster
- Germany
- https://iprincegh.github.io/
- https://orcid.org/0009-0003-5447-8034
- in/iprince-gh
- https://www.researchgate.net/profile/Prince-Oppong-Boakye?ev=hdr_xprf
- https://scholar.google.com/citations?hl=en&user=N9ZIXMkAAAAJ
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COVID-19-NYC-Utah
COVID-19-NYC-Utah PublicCode and results for Bayesian spatiotemporal modeling of COVID-19 risk and mobility in NYC & Utah.
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fine-scale-popflow-disease-modelling
fine-scale-popflow-disease-modelling PublicReproducible pipeline for MSc Thesis "Simulating Fine-Scale Population Flow for Infectious Disease Transmission Modelling."
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disease-outbreak-investigation-sim
disease-outbreak-investigation-sim PublicA retrospective cohort study was launched to identify the source of a gastrointestinal outbreak following a dinner party hosted by Veronika. The investigation aims to describe the outbreak, identif…
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SpatioTemp-Analysis-Ghana-Malaria-Cases
SpatioTemp-Analysis-Ghana-Malaria-Cases PublicSpatio-temporal data of analysis malaria cases in Ghana
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whlan02/Desinformation_and_Geomedia_Green
whlan02/Desinformation_and_Geomedia_Green PublicStudy Project Desinformation and Geomedia team green
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codecheckers/codecheckers
codecheckers/codecheckers PublicRegister of codecheckers for the community process
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