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2 results on '"Alessia Di Gilio"'

1. Potential role of particulate matter in the spreading of COVID-19 in Northern Italy: first observational study based on initial epidemic diffusion

Author

Alessandro Miani, Annamaria Colao, Prisco Piscitelli, Leonardo Setti, Fabrizio Passarini, Gianluigi De Gennaro, Pierluigi Barbieri, Sabina Licen, Maria Grazia Perrone, Andrea Piazzalunga, Massimo Borelli, Jolanda Palmisani, Alessia Di Gilio, and Emanuele Rizzo

Subjects
Medicine
Abstract

Objectives A number of studies have shown that the airborne transmission route could spread some viruses over a distance of 2 meters from an infected person. An epidemic model based only on respiratory droplets and close contact could not fully explain the regional differences in the spread of COVID-19 in Italy. On March 16th 2020, we presented a position paper proposing a research hypothesis concerning the association between higher mortality rates due to COVID-19 observed in Northern Italy and average concentrations of PM10 exceeding a daily limit of 50 µg/m3.Methods To monitor the spreading of COVID-19 in Italy from February 24th to March 13th (the date of the Italian lockdown), official daily data for PM10 levels were collected from all Italian provinces between February 9th and February 29th, taking into account the maximum lag period (14 days) between the infection and diagnosis. In addition to the number of exceedances of the daily limit value of PM10, we also considered population data and daily travelling information for each province.Results Exceedance of the daily limit value of PM10 appears to be a significant predictor of infection in univariate analyses (p6.0, comparable with the highest values estimated for China.Conclusion A significant association has been found between the geographical distribution of daily PM10 exceedances and the initial spreading of COVID-19 in the 110 Italian provinces.

Published
2020
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2. Potential role of particulate matter in the spreading of COVID-19 in Northern Italy: first observational study based on initial epidemic diffusion

Author

Maria Grazia Perrone, Annamaria Colao, Fabrizio Passarini, Emanuele Rizzo, Massimo Borelli, Leonardo Setti, Alessandro Miani, Gianluigi de Gennaro, Sabina Licen, Alessia Di Gilio, Jolanda Palmisani, Andrea Piazzalunga, Pierluigi Barbieri, Prisco Piscitelli, Setti, L., Passarini, F., De Gennaro, G., Barbieri, P., Licen, S., Perrone, M. G., Piazzalunga, A., Borelli, M., Palmisani, J., DI Gilio, A., Rizzo, E., Colao, A., Piscitelli, P., Miani, A., Setti, Leonardo, Passarini, Fabrizio, De Gennaro, Gianluigi, Barbieri, Pierluigi, Licen, Sabina, Perrone, Maria Grazia, Piazzalunga, Andrea, Borelli, Massimo, Palmisani, Jolanda, Di Gilio, Alessia, Rizzo, Emanuele, Colao, Annamaria, Piscitelli, Prisco, and Miani, Alessandro

Subjects
Coronavirus disease 2019 (COVID-19), Pneumonia, Viral, Airborne transmission, Risk Assessment, Betacoronavirus, epidemiology, public health, virology, particulate matter, Air Pollution, Outcome Assessment, Health Care, Disease Transmission, Infectious, Medicine, Humans, Correlation of Data, Close contact, Pandemics, business.industry, SARS-CoV-2, Mortality rate, COVID-19, General Medicine, Particulates, Northern italy, Italy, Observational study, Particulate Matter, Public Health, Epidemic model, business, Coronavirus Infections, Demography
Abstract

ObjectivesA number of studies have shown that the airborne transmission route could spread some viruses over a distance of 2 meters from an infected person. An epidemic model based only on respiratory droplets and close contact could not fully explain the regional differences in the spread of COVID-19 in Italy. On March 16th 2020, we presented a position paper proposing a research hypothesis concerning the association between higher mortality rates due to COVID-19 observed in Northern Italy and average concentrations of PM10exceeding a daily limit of 50 µg/m3.MethodsTo monitor the spreading of COVID-19 in Italy from February 24th to March 13th (the date of the Italian lockdown), official daily data for PM10levels were collected from all Italian provinces between February 9th and February 29th, taking into account the maximum lag period (14 days) between the infection and diagnosis. In addition to the number of exceedances of the daily limit value of PM10, we also considered population data and daily travelling information for each province.ResultsExceedance of the daily limit value of PM10appears to be a significant predictor of infection in univariate analyses (p10levels, while 62 out of 66 Southern provinces presented low PM10concentrations (p0>6.0, comparable with the highest values estimated for China.ConclusionA significant association has been found between the geographical distribution of daily PM10exceedances and the initial spreading of COVID-19 in the 110 Italian provinces.

Published
2020

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