Counterfactual time series analysis of short-term change in air pollution following the COVID-19 state of emergency in the United States

Lockdown measures implemented in response to the COVID-19 pandemic produced sudden behavioral changes. We implement counterfactual time series analysis based on seasonal autoregressive integrated moving average models (SARIMA), to examine the extent of air pollution reduction attained following stat...

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Detalles Bibliográficos
Autores principales: Dey, Tanujit, Tyagi, Pooja, Sabath, M. Benjamin, Kamareddine, Leila, Henneman, Lucas, Braun, Danielle, Dominici, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651777/
https://www.ncbi.nlm.nih.gov/pubmed/34876601
http://dx.doi.org/10.1038/s41598-021-02776-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651777/
https://www.ncbi.nlm.nih.gov/pubmed/34876601
http://dx.doi.org/10.1038/s41598-021-02776-0

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