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_11
Snippet: Data presented here, show that SARS-CoV-2 distribution/reported infections can be efficiently predicted by a small subset of bioclimate environmental parameters. Our model, . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity......
Document: Data presented here, show that SARS-CoV-2 distribution/reported infections can be efficiently predicted by a small subset of bioclimate environmental parameters. Our model, . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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