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Oswaldo Gressani

@oswaldogressani.bsky.social
10 followers 12 following 4 posts

Postdoc at Hasselt University

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Oswaldo Gressani @oswaldogressani.bsky.social · 08/12/2025
How do key epidemiological delays differ by transmission mode for MPXV? 👉 doi.org/10.1038/s414...
doi.org
Epidemiological characteristics of monkeypox virus Clade Ib in the Democratic Republic of the Congo - Nature Communications
The study found that the serial interval and incubation period of monkeypox virus Clade Ib are shorter for putative sexual versus non-sexual transmission, indicating that epidemiological context ...
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Oswaldo Gressani @oswaldogressani.bsky.social · 08/12/2025
✨ New article published in Statistics and Computing. Discover how the Laplacian-P-splines methodology provides a flexible framework in Distributed lag non-linear models (DLNMs). doi.org/10.1007/s112...
doi.org
Penalized distributed lag non-linear models for small area data using Laplacian-P-splines - Statistics and Computing
Distributed lag non-linear models (DLNMs) have gained popularity for modeling nonlinear lagged relationships between exposures and outcomes. When applied to spatially referenced data, these models mus...
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Oswaldo Gressani @oswaldogressani.bsky.social · 16/09/2025
👉 This paper proposes a flexible spatio-temporal modeling framework for analysis of areal data with spatially correlated Gaussian processes. doi.org/10.48550/arX...
doi.org
A Time-Series Model for Areal Data Using Spatially Correlated Gaussian Processes
Traditional spatio-temporal models for areal data typically begin with spatial structure imposed at the level of random effects and later extend to include temporal dynamics. We propose an alternative...
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Oswaldo Gressani @oswaldogressani.bsky.social · 07/08/2025
Working with symptom onset data without imposing parametric assumptions. This new inferential method leverages uniform mixtures and the bootstrap to estimate serial interval features in a nonparametric way. doi.org/10.1371/jour...
doi.org
Nonparametric serial interval estimation with uniform mixtures
Author summary Epidemiological delay distributions play a key role in outbreak analyses and in modeling infectious diseases. The serial interval is the time from illness onset in a primary case to ill...
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