Author: Michail Bariotakis; George Sourvinos; Elias Castanas; Stergios A Pirintsos
Title: Climatic influences on the worldwide spread of SARS-CoV-2 Document date: 2020_3_23
ID: czh7xqph_9
Snippet: Α small subset of variables ( Figure 2 ) can predict the viral outbursts, at each given timepoint. In addition, there is a notable shift of the predictive power of some parameters. In particular, "Precipitation of Driest Month" is replaced by "Mean Temperature of Wettest Quarter", while the importance of "Isothermality" (day-to-night temperatures difference relative to the summer-to-winter (annual) difference) is highly reduced over time. The tw.....
Document: Α small subset of variables ( Figure 2 ) can predict the viral outbursts, at each given timepoint. In addition, there is a notable shift of the predictive power of some parameters. In particular, "Precipitation of Driest Month" is replaced by "Mean Temperature of Wettest Quarter", while the importance of "Isothermality" (day-to-night temperatures difference relative to the summer-to-winter (annual) difference) is highly reduced over time. The two major predictive variables, at the current state of viral spread (data of March 4) are min temperature of the coldest month, (importance 27.4%) and mean temperature of the wettest quarter (importance 20.9%).
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