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ENH: (MAYOR) Integrate Multivariate Early-Stage Characterization of Emerging Variants into Covspectrum #814

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FedeGueli opened this issue Jun 9, 2023 · 1 comment
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epic The place to collect ideas and tasks for something big science

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@FedeGueli
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Authors (Pascal P. Klamser; Valeria d'Andrea; Francesco Di Lauro; Adrian Zachariae; Sebastiano Bontorin; Antonello di Nardo; Matthew Hall; Benjamin F. Maier; Luca Ferretti; Dirk Brockmann; Manlio De Domenico) of "Enhancing global preparedness during an ongoing pandemic from partial and noisy data " (PNAS Nexus, pgad192, https://doi.org/10.1093/pnasnexus/pgad192)[ here]( https://academic.oup.com/pnasnexus/advance-article/doi/10.1093/pnasnexus/pgad192/7191545?utm_source=advanceaccess&utm_campaign=pnasnexus&utm_medium=email&login=false)
have shared their CODE here: https://zenodo.org/record/7998144 .

Being imagined for receiving data from Gisaid i guess it would not impossibel to get this integrated to COVSPECTRUM , their output seem very interesting ( Effective growth rate, Real prevalence, next exportation predictions etc) .

I am conscious this is a major work but still worth to take a look at this in my view.

@chaoran-chen chaoran-chen added epic The place to collect ideas and tasks for something big science labels Jun 9, 2023
@FedeGueli
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