Climatic influence on the magnitude of COVID-19 outbreak: a stochastic model-based global analysis

Climatic influence on the magnitude of COVID-19 outbreak: a stochastic model-based global analysis

© 2020 Informa UK Limited, trading as Taylor & Francis Group. We investigate the climatic influence on COVID-19 transmission risks in 228 cities globally across three climatic zones. The results, based on the application of a Boosted Regression Tree algorithm method, show that average temperatur...

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Main Authors: Malay Pramanik, Koushik Chowdhury, Md Juel Rana, Praffulit Bisht, Raghunath Pal, Sylvia Szabo, Indrajit Pal, Bhagirath Behera, Qiuhua Liang, Sabu S. Padmadas, Parmeshwar Udmale
Format: Default Article
Published: 2020
Subjects:
Environmental & Occupational Health
Environmental Sciences
Biological Sciences
Medical and Health Sciences
stochastic model
SARS-CoV61 2
COVID-19 transmission
climatic association
Boosted Regression Tree
Online Access:https://hdl.handle.net/2134/17061527.v1
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https://hdl.handle.net/2134/17061527.v1

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