The New York City COVID-19 Spread in the 2020 Spring: A Study on the Potential Role of Particulate Using Time Series Analysis and Machine Learning

The New York City COVID-19 Spread in the 2020 Spring: A Study on the Potential Role of Particulate Using Time Series Analysis and Machine Learning

This study investigates the potential association between the daily distribution of the PM<sub>2,5</sub> air pollutant and the initial spreading of COVID-19 in New York City. We study the period from 4 March to 22 March 2020, and apply our analysis to all five counties, including the cit...

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Bibliographic Details
Main Authors: Silvia Mirri, Marco Roccetti, Giovanni Delnevo
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
COVID-19
New York city
time series analysis
daily infections
air pollution
machine learning
Online Access:https://www.mdpi.com/2076-3417/11/3/1177

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