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10.1136/bmjopen-2020-039338 http://scihub22266oqcxt.onion/10.1136/bmjopen-2020-039338 32973066!7517216!32973066     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMJ+Open 2020 ; 10 (9): e039338 Nephropedia Template TP {{tp|p=32973066|t=2020. Potential role of particulate matter in the spreading of COVID-19 in Northern Italy: first observational study based on initial epidemic diffusion |pdf=|usr=}}{{32973066}} gab.com Text Potential role of particulate matter in the spreading of COVID-19 in Northern Italy: first observational study based on initial epidemic diffusion JO: BMJ Open http://www.kidney.de/pget.php?&tw=1&pmid=32973066 #FOAvip 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 PM(10) exceeding a daily limit of 50 microg/m(3). 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 PM(10) 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 PM(10), we also considered population data and daily travelling information for each province. RESULTS: Exceedance of the daily limit value of PM(10) appears 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 PM(10) levels, while 62 out of 66 Southern provinces presented low PM(10) concentrations (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 R(0)>6.0, comparable with the highest values estimated for China. CONCLUSION: A significant association has been found between the geographical distribution of daily PM(10) exceedances and the initial spreading of COVID-19 in the 110 Italian provinces. Twit Text FOAVip Potential role of particulate matter in the spreading of COVID-19 in Northern Italy: first observational study based on initial epidemic diffusion ????BMJ Open http://www.kidney.de/pget.php?&tw=1&pmid=32973066 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32973066 #FOAvip English Wikipedia <ref>{{Cite pmid|32973066}}</ref> Potential role of particulate matter in the spreading of COVID-19 in Northern Italy: first observational study based on initial epidemic diffusion #MMPMID32973066 Setti L; Passarini F; De Gennaro G; Barbieri P; Licen S; Perrone MG; Piazzalunga A; Borelli M; Palmisani J; Di Gilio A; Rizzo E; Colao A; Piscitelli P; Miani A BMJ Open 2020[Sep]; 10 (9): e039338 PMID32973066show ga 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 PM(10) exceeding a daily limit of 50 microg/m(3). 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 PM(10) 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 PM(10), we also considered population data and daily travelling information for each province. RESULTS: Exceedance of the daily limit value of PM(10) appears 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 PM(10) levels, while 62 out of 66 Southern provinces presented low PM(10) concentrations (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 R(0)>6.0, comparable with the highest values estimated for China. CONCLUSION: A significant association has been found between the geographical distribution of daily PM(10) exceedances and the initial spreading of COVID-19 in the 110 Italian provinces. |*Air Pollution/analysis/statistics & numerical data[MESH] |*Coronavirus Infections/epidemiology/prevention & control/transmission[MESH] |*Disease Transmission, Infectious/prevention & control/statistics & numerical data[MESH] |*Pandemics/prevention & control[MESH] |*Pneumonia, Viral/epidemiology/prevention & control/transmission[MESH] |Betacoronavirus/*isolation & purification[MESH] |COVID-19[MESH] |Correlation of Data[MESH] |Humans[MESH] |Italy/epidemiology[MESH] |Outcome Assessment, Health Care[MESH] |Particulate Matter/*analysis[MESH] |Public Health/methods/statistics & numerical data[MESH] |Risk Assessment/methods[MESH]Potential role of particulate matter in the spreading of COVID-19 in N(epmc).pdf DeepDyve Pubget Overpricing