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10.1007/s11356-021-18195-7 http://scihub22266oqcxt.onion/10.1007/s11356-021-18195-7 35060047!8776378!35060047     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Environ+Sci+Pollut+Res+Int 2022 ; 29 (24): 36392-36411 Nephropedia Template TP {{tp|p=35060047|t=2022. Assessment of the association between dust storms and COVID-19 infection rate in southwest Iran |pdf=|usr=}}{{35060047}} gab.com Text Assessment of the association between dust storms and COVID-19 infection rate in southwest Iran JO: Environ Sci Pollut Res Int http://www.kidney.de/pget.php?&tw=1&pmid=35060047 #FOAvip This study assesses a plausible correlation between a dust intrusion episode and a daily increase in COVID-19 cases. A surge in COVID-19 cases was observed a few days after a Middle East Dust (MED) event that peaked on 25(th) April 2020 in southwest Iran. To investigate potential causal factors for the spike in number of cases, cross-correlations between daily combined aerosol optical depths (AODs) and confirmed cases were computed for Khuzestan, Iran. Additionally, atmospheric stability data time series were assessed by covering before, during, and after dust intrusion, producing four statistically clustered distinct city groups. Groups 1 and 2 had different peak lag times of 10 and 4-5 days, respectively. Since there were statistically significant associations between AOD levels and confirmed cases in both groups, dust incursion may have increased population susceptibility to COVID-19 disease. Group 3 was utilized as a control group with neither a significant level of dust incursion during the episodic period nor any significant associations. Group 4 cities, which experienced high dust incursion levels, showed no significant correlation with confirmed case count increases. Random Forest Analysis assessed the influence of wind speed and AOD, showing relative importance of 0.31 and 0.23 on the daily increase percent of confirmed cases, respectively. This study may serve as a reference for better understanding and predicting factors affecting COVID-19 transmission and diffusion routes, focusing on the role of MED intrusions. Twit Text FOAVip Assessment of the association between dust storms and COVID-19 infection rate in southwest Iran ????Environ Sci Pollut Res Int http://www.kidney.de/pget.php?&tw=1&pmid=35060047 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35060047 #FOAvip English Wikipedia <ref>{{Cite pmid|35060047}}</ref> Assessment of the association between dust storms and COVID-19 infection rate in southwest Iran #MMPMID35060047 Broomandi P; Crape B; Jahanbakhshi A; Janatian N; Nikfal A; Tamjidi M; Kim JR; Middleton N; Karaca F Environ Sci Pollut Res Int 2022[May]; 29 (24): 36392-36411 PMID35060047show ga This study assesses a plausible correlation between a dust intrusion episode and a daily increase in COVID-19 cases. A surge in COVID-19 cases was observed a few days after a Middle East Dust (MED) event that peaked on 25(th) April 2020 in southwest Iran. To investigate potential causal factors for the spike in number of cases, cross-correlations between daily combined aerosol optical depths (AODs) and confirmed cases were computed for Khuzestan, Iran. Additionally, atmospheric stability data time series were assessed by covering before, during, and after dust intrusion, producing four statistically clustered distinct city groups. Groups 1 and 2 had different peak lag times of 10 and 4-5 days, respectively. Since there were statistically significant associations between AOD levels and confirmed cases in both groups, dust incursion may have increased population susceptibility to COVID-19 disease. Group 3 was utilized as a control group with neither a significant level of dust incursion during the episodic period nor any significant associations. Group 4 cities, which experienced high dust incursion levels, showed no significant correlation with confirmed case count increases. Random Forest Analysis assessed the influence of wind speed and AOD, showing relative importance of 0.31 and 0.23 on the daily increase percent of confirmed cases, respectively. This study may serve as a reference for better understanding and predicting factors affecting COVID-19 transmission and diffusion routes, focusing on the role of MED intrusions. |*Air Pollutants/analysis[MESH] |*Air Pollution/analysis[MESH] |*COVID-19/epidemiology[MESH] |Aerosols/analysis[MESH] |Cities/epidemiology[MESH] |Dust/analysis[MESH] |Environmental Monitoring[MESH] |Humans[MESH]Assessment of the association between dust storms and COVID-19 infecti(epmc).pdf DeepDyve Pubget Overpricing