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home/Knowledge Base/DATA/Meteorology and Air Pollution Covid-19 Italy Dataset

Meteorology and Air Pollution Covid-19 Italy Dataset

October 28, 2020

Meteorology and Air Pollution Covid-19 Italy Dataset
This database can be used for research purposes only. Commercial use of the database is not allowed. The file contains the aggregate data of Milan (Italy), Florence (Italy) and Trento (Italy), respectively. Data rows are 103, while columns 54. Each row represents a day starting from February 19th, 2020 to May 31st, 2020. Columns 1-15 (Milan), 19-33 (Florence) and 37-51 (Trento) represent the meteorological data as labeled in Table 1 of the related manuscript. In particular, we have in order: the daily max Temp, the daily avg Temp, the daily min Temp, the daily max Dew Point, the daily avg Dew Point, the daily min Dew Point, the daily max Relative Humidity, the daily avg Relative Humidity, the daily min Relative Humidity, the daily max Wind Speed, the daily avg Wind Speed, the daily min Wind Speed, the daily max atm Pressure, the daily avg atm Pressure and the daily min atm Pressure. Columns 16 (Milan), 34 (Florence) and 52 (Trento) represent the daily PM2.5 concentration. Columns 17 (Milan), 35 (Florence) and 53 (Trento) are the daily NO2 concentrations, while columns 18 (Milan), 36 (Florence) and 54 (Trento) are the daily ICU residuals (time shifted: from March 8th, 2020 to June, 19th, 2020).


Please cite the following paper if you use this database:

Impact of meteorological conditions and air pollution on COVID-19 pandemic transmission in Italy
Simone Lolli, Ying-Chieh Chen, Sheng-Hsiang Wang and Gemine Vivone
Nature Scientific Reports, vol. 10, no. 1, pp. 1-15, Oct. 2020 [https://doi.org/10.1038/s41598-020-73197-8]

 

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1 .pdf 4.29 MB Impact of meteorological conditions and air pollution on COVID-19 pandemic transmission in Italy
2 .txt 87.11 KB Impact of meteorological conditions and air pollution on COVID-19 pandemic transmission in Italy Data
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