Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1038/s41467-021-20990-2 http://scihub22266oqcxt.onion/10.1038/s41467-021-20990-2 33563992!7873309!33563992     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       Nat+Commun 2021 ; 12 (1): 893 Nephropedia Template TP {{tp|p=33563992|t=2021. Quantifying population contact patterns in the United States during the COVID-19 pandemic |pdf=|usr=}}{{33563992}} gab.com Text Quantifying population contact patterns in the United States during the COVID-19 pandemic JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33563992 #FOAvip SARS-CoV-2 is transmitted primarily through close, person-to-person interactions. Physical distancing policies can control the spread of SARS-CoV-2 by reducing the amount of these interactions in a population. Here, we report results from four waves of contact surveys designed to quantify the impact of these policies during the COVID-19 pandemic in the United States. We surveyed 9,743 respondents between March 22 and September 26, 2020. We find that interpersonal contact has been dramatically reduced in the US, with an 82% (95%CI: 80%-83%) reduction in the average number of daily contacts observed during the first wave compared to pre-pandemic levels. However, we find increases in contact rates over the subsequent waves. We also find that certain demographic groups, including people under 45 and males, have significantly higher contact rates than the rest of the population. Tracking these changes can provide rapid assessments of the impact of physical distancing policies and help to identify at-risk populations. Twit Text FOAVip Quantifying population contact patterns in the United States during the COVID-19 pandemic ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33563992 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33563992 #FOAvip English Wikipedia <ref>{{Cite pmid|33563992}}</ref> Quantifying population contact patterns in the United States during the COVID-19 pandemic #MMPMID33563992 Feehan DM; Mahmud AS Nat Commun 2021[Feb]; 12 (1): 893 PMID33563992show ga SARS-CoV-2 is transmitted primarily through close, person-to-person interactions. Physical distancing policies can control the spread of SARS-CoV-2 by reducing the amount of these interactions in a population. Here, we report results from four waves of contact surveys designed to quantify the impact of these policies during the COVID-19 pandemic in the United States. We surveyed 9,743 respondents between March 22 and September 26, 2020. We find that interpersonal contact has been dramatically reduced in the US, with an 82% (95%CI: 80%-83%) reduction in the average number of daily contacts observed during the first wave compared to pre-pandemic levels. However, we find increases in contact rates over the subsequent waves. We also find that certain demographic groups, including people under 45 and males, have significantly higher contact rates than the rest of the population. Tracking these changes can provide rapid assessments of the impact of physical distancing policies and help to identify at-risk populations. |*Contact Tracing[MESH] |*Pandemics[MESH] |Age Factors[MESH] |COVID-19/*epidemiology/transmission[MESH] |Calibration[MESH] |Family Characteristics[MESH] |Humans[MESH] |SARS-CoV-2/*physiology[MESH]Quantifying population contact patterns in the United States during th(epmc).pdf DeepDyve Pubget Overpricing