Author

Pratik Singh

Heidelberg UniversityORCID 0009-0004-8657-5004Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:multiple species· 1

Frequent Co-Authors

Joacim RocklöviD· 3 shared Henrik SjödiniD· 2 shared Jonas WalliniD· 2 shared Amiya Ranjan BhowmickiD· 1 shared Dipali Vasudev Mestry· 1 shared Jan C. SemenzaiD· 1 shared Julian HeideckeiD· 1 shared Marina TreskovaiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersEcology

Joacim RocklövORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

A climate and population dependent diffusion model forecasts the spread of Aedes Albopictus mosquitoes in Europe

Sandra Barman, Jan C. Semenza, Pratik Singh, Henrik Sjödin, Joacim Rocklöv, Jonas Wallin

The paper develops a climate and population dependent diffusion model to predict the spread of Aedes albopictus mosquitoes in Europe, showing high accuracy in forecasting new populations.

Communications Earth & Environment · Apr 9, 2025Peer-reviewedMolecular Biology

Disclosing temperature sensitivity of West Nile virus transmission: novel computational approaches to mosquito-pathogen trait responses

Julian Heidecke, Jonas Wallin, Peter Fransson, Pratik Singh, Henrik Sjödin, Pascale Stiles, Marina Treskova, Joacim Rocklöv

This study estimates temperature sensitivity of West Nile virus transmission using Bayesian hierarchical models and experimental data on mosquito-pathogen traits.

PLoS Computational Biology · Mar 31, 2025Peer-reviewedEcology

Deciphering Memory Patterns in Eco-Epidemiological systems through the lens of BaFOMS: A Bayesian Fractional Order Model Selection Method

Dipali Vasudev Mestry, Pratik Singh, Joacim Rocklöv, Amiya Ranjan Bhowmick

This paper introduces BaFOMS, a Bayesian method for selecting fractional order models to analyze eco-epidemiological systems, demonstrating its effectiveness in parameter estimation and forecasting.

bioRxiv · Nov 11, 2024 · PreprintEcology