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

Author:

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 PriscoORCID,Miani Alessandro

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 (p<0.001). Less polluted provinces had a median of 0.03 infections over 1000 residents, while the most polluted provinces showed a median of 0.26 cases. Thirty-nine out of 41 Northern Italian provinces resulted in the category with the highest PM10levels, while 62 out of 66 Southern provinces presented low PM10concentrations (p<0.001). In Milan, the average growth rate before the lockdown was significantly higher than in Rome (0.34 vs 0.27 per day, with a doubling time of 2.0 days vs 2.6, respectively), thus suggesting a basic reproductive number R0>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.

Publisher

BMJ

Subject

General Medicine

Reference55 articles.

1. World Health Organisation . Modes of transmission of virus causing COVID-19: implications for IPC precaution recommendations, scientific brief, 2020. Available: https://www.who.int/news-room/commentaries/detail/modes-of-transmission-of-virus-causing-covid-19-implications-for-ipc-precaution-recommendations

2. Covid-19: identifying and isolating asymptomatic people helped eliminate virus in Italian village

3. Indirect virus transmission in cluster of COVID-19 cases, Wenzhou, China, 2020;Cai;Emerg Infect Dis,2020

4. Coronavirus Infections—More Than Just the Common Cold

5. Andersen GL , Frisch AS , Kellogg CA . Aeromicrobiology/Air quality in encyclopedia of microbiology. Third edn, 2009: 11–26.

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