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10- [ ![ Code DOI ] ( https://img.shields.io/badge/Code%20DOI-10.5281/zenodo.14903161-blue )] ( https://doi.org/10.5281/zenodo.14903161 ) [ ![ medRxiv] ( https://img.shields.io/badge/medRxiv-10.1101/2025.04.10.25325611-blue )] ( https://doi.org/10.1101/2025.04.10.25325611 )
10+ [ ![ Zenodo ] ( https://img.shields.io/badge/Code%20DOI-10.5281/zenodo.14903161-blue )] ( https://doi.org/10.5281/zenodo.14903161 ) [ ![ medRxiv] ( https://img.shields.io/badge/medRxiv-10.1101/2025.04.10.25325611-blue )] ( https://doi.org/10.1101/2025.04.10.25325611 )
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1212## The influence of model structure and geographic specificity on forecast accuracy among European COVID-19 forecasts
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2- [ ![ Code
3- DOI] ( https://img.shields.io/badge/Code%20DOI-10.5281/zenodo.14903161-blue )] ( https://doi.org/10.5281/zenodo.14903161 )
2+ [ ![ Zenodo] ( https://img.shields.io/badge/Code%20DOI-10.5281/zenodo.14903161-blue )] ( https://doi.org/10.5281/zenodo.14903161 )
43[ ![ medRxiv] ( https://img.shields.io/badge/medRxiv-10.1101/2025.04.10.25325611-blue )] ( https://doi.org/10.1101/2025.04.10.25325611 )
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65## The influence of model structure and geographic specificity on forecast accuracy among European COVID-19 forecasts
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