Literature DB >> 33750382

How can we weather a virus storm? Health prediction inspired by meteorology could be the answer.

Roberto Buizza1, Enrico Capobianco2, Pier Francesco Moretti3, Paolo Vineis4.   

Abstract

Entities:  

Keywords:  COVID-19; Complex systems; Health models; Monitoring and prediction; Predictability; Uncertainty; Weather models

Mesh：

Year:  2021        PMID： 33750382      PMCID： PMC7940861          DOI： 10.1186/s12967-021-02771-z

Source DB:  PubMed          Journal:  J Transl Med        ISSN： 1479-5876            Impact factor:   5.531


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  4 in total

Review 1.  The quiet revolution of numerical weather prediction.

Authors:  Peter Bauer; Alan Thorpe; Gilbert Brunet
Journal:  Nature       Date:  2015-09-03       Impact factor: 49.962

2.  Five ways to ensure that models serve society: a manifesto.

Authors:  Andrea Saltelli; Gabriele Bammer; Isabelle Bruno; Erica Charters; Monica Di Fiore; Emmanuel Didier; Wendy Nelson Espeland; John Kay; Samuele Lo Piano; Deborah Mayo; Roger Pielke; Tommaso Portaluri; Theodore M Porter; Arnald Puy; Ismael Rafols; Jerome R Ravetz; Erik Reinert; Daniel Sarewitz; Philip B Stark; Andrew Stirling; Jeroen van der Sluijs; Paolo Vineis
Journal:  Nature       Date:  2020-06       Impact factor: 49.962

3.  Applications of predictive modelling early in the COVID-19 epidemic.

Authors:  Chiara Poletto; Samuel V Scarpino; Erik M Volz
Journal:  Lancet Digit Health       Date:  2020-08-10

4.  Disease modeling for public health: added value, challenges, and institutional constraints.

Authors:  Mirjam Kretzschmar
Journal:  J Public Health Policy       Date:  2020-03       Impact factor: 2.222
  4 in total

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