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10.1016/j.annepidem.2020.08.016 http://scihub22266oqcxt.onion/10.1016/j.annepidem.2020.08.016 32927056!7485497!32927056     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Ann+Epidemiol 2021 ; 53 (ä): 56-62.e2 Nephropedia Template TP {{tp|p=32927056|t=2021. Regional variation in COVID-19 disparities: connections with immigrant and Latinx communities in U S counties |pdf=|usr=}}{{32927056}} gab.com Text Regional variation in COVID-19 disparities: connections with immigrant and Latinx communities in U S counties JO: Ann Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=32927056 #FOAvip PURPOSE: To evaluate associations between counties' COVID-19 cases and racial-ethnic and nativity composition, considering heterogeneity across Latin American-origin subgroups and regions of the United States. METHODS: Using county-level data and multilevel negative binomial models, we evaluate associations between COVID-19 cases and percentages of residents that are foreign-born, Latinx, Black, or Asian, presenting estimates for all counties combined and stratifying across regions. Given varying risk factors among Latinx, we also evaluate associations for percentages of residents from specific Latin American-origin groups. RESULTS: Percentage of foreign-born residents is positively associated with COVID-19 case rate (IRR = 1.106; 95% CI: 1.074-1.139). Adjusted associations for percentage Latinx are nonsignificant for all counties combined, but this obscures heterogeneity. Counties with more Central Americans have higher case rates (IRR = 1.130; 95% CI: 1.067-1.197). And, in the Northeast and Midwest, counties with more Puerto Ricans have higher case rates. Associations with percentage Asians are nonsignificant after adjusting for percentage foreign-born. With the confirmation of prior evidence, the percentage of Black residents is positively and robustly associated with COVID-19 case rate (IRR = 1.031; 95% CI: 1.025-1.036). CONCLUSIONS: Counties with more immigrants, as well as more Central American or Black residents, have more COVID-19 cases. In the Northeast and Midwest, counties with more Puerto Rican residents also have more COVID-19 cases. Twit Text FOAVip Regional variation in COVID-19 disparities: connections with immigrant and Latinx communities in U S counties ????Ann Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=32927056 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32927056 #FOAvip English Wikipedia <ref>{{Cite pmid|32927056}}</ref> Regional variation in COVID-19 disparities: connections with immigrant and Latinx communities in U S counties #MMPMID32927056 Strully K; Yang TC; Liu H Ann Epidemiol 2021[Jan]; 53 (ä): 56-62.e2 PMID32927056show ga PURPOSE: To evaluate associations between counties' COVID-19 cases and racial-ethnic and nativity composition, considering heterogeneity across Latin American-origin subgroups and regions of the United States. METHODS: Using county-level data and multilevel negative binomial models, we evaluate associations between COVID-19 cases and percentages of residents that are foreign-born, Latinx, Black, or Asian, presenting estimates for all counties combined and stratifying across regions. Given varying risk factors among Latinx, we also evaluate associations for percentages of residents from specific Latin American-origin groups. RESULTS: Percentage of foreign-born residents is positively associated with COVID-19 case rate (IRR = 1.106; 95% CI: 1.074-1.139). Adjusted associations for percentage Latinx are nonsignificant for all counties combined, but this obscures heterogeneity. Counties with more Central Americans have higher case rates (IRR = 1.130; 95% CI: 1.067-1.197). And, in the Northeast and Midwest, counties with more Puerto Ricans have higher case rates. Associations with percentage Asians are nonsignificant after adjusting for percentage foreign-born. With the confirmation of prior evidence, the percentage of Black residents is positively and robustly associated with COVID-19 case rate (IRR = 1.031; 95% CI: 1.025-1.036). CONCLUSIONS: Counties with more immigrants, as well as more Central American or Black residents, have more COVID-19 cases. In the Northeast and Midwest, counties with more Puerto Rican residents also have more COVID-19 cases. |*Health Status Disparities[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/epidemiology/*ethnology[MESH] |Emigrants and Immigrants/*statistics & numerical data[MESH] |Ethnicity/*statistics & numerical data[MESH] |Female[MESH] |Healthcare Disparities/*ethnology[MESH] |Hispanic or Latino/statistics & numerical data[MESH] |Humans[MESH] |Local Government[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Residence Characteristics/*statistics & numerical data[MESH] |SARS-CoV-2[MESH] |Social Class[MESH] |United States/epidemiology[MESH]Regional variation in COVID-19 disparities: connections with immigrant(epmc).pdf DeepDyve Pubget Overpricing