SS
Satej S. Soman
COVID-19Developing CountriesBayesian inferenceBayes Theoremcs.CVcs.LGepidemiologyEpidemiologyhierarchical modelingprevalence
On Valency
published · living versionsW_ktwq36bv·v1 · currentpublished
GeoFaham: Domain-Specialized Multi-Agent Geospatial Analytics for Disaster Response
with Muhammad Sohail Danish, Gilles Q. Hacheme, Akram Zaytar, Inbal Becker-Reshef +3
1 version
Preprints & journals
4 papers in the corpus · 2021–2026Anaximander: Interactively Running Geospatial Deep Learning Models on Any Compute Backend2610.09085v1 · Satej S. Soman, Akram Zaytar, Girmaw A. Tadesse et al.2026 · 0 citationsarXiv
A Hierarchical Bayesian Model for Estimating Age-Specific COVID-19 Infection Fatality Rates in Developing Countries.39528909 · Pugh, Sierra, Levin, Andrew T, Meyerowitz-Katz, Gideon et al.2024 · 1 citationStatistics in medicine. 2024;43(30):5667-5680
Can Strategic Data Collection Improve the Performance of Poverty Prediction Models?2211.08735v1 · Satej Soman, Emily Aiken, Esther Rolf et al.2022 · 2 citationsarXiv
Assessing the burden of COVID-19 in developing countries: systematic review, meta-analysis and public policy implications.35618305 · Levin, Andrew T, Owusu-Boaitey, Nana, Pugh, Sierra et al.2022 · 208 citationsBMJ global health. 2022;7(5)
Career total: 12 works. 4 are in this corpus.
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