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/s41467-021-21944-4 http://scihub22266oqcxt.onion/10.1038/s41467-021-21944-4 33712596!7955077!33712596     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       Nat+Commun 2021 ; 12 (1): 1634 Nephropedia Template TP {{tp|p=33712596|t=2021. Evaluating the impact of curfews and other measures on SARS-CoV-2 transmission in French Guiana |pdf=|usr=}}{{33712596}} gab.com Text Evaluating the impact of curfews and other measures on SARS-CoV-2 transmission in French Guiana JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33712596 #FOAvip While general lockdowns have proven effective to control SARS-CoV-2 epidemics, they come with enormous costs for society. It is therefore essential to identify control strategies with lower social and economic impact. Here, we report and evaluate the control strategy implemented during a large SARS-CoV-2 epidemic in June-July 2020 in French Guiana that relied on curfews, targeted lockdowns, and other measures. We find that the combination of these interventions coincided with a reduction in the basic reproduction number of SARS-CoV-2 from 1.7 to 1.1, which was sufficient to avoid hospital saturation. We estimate that thanks to the young demographics, the risk of hospitalisation following infection was 0.3 times that of metropolitan France and that about 20% of the population was infected by July. Our model projections are consistent with a recent seroprevalence study. The study showcases how mathematical modelling can be used to support healthcare planning in a context of high uncertainty. Twit Text FOAVip Evaluating the impact of curfews and other measures on SARS-CoV-2 transmission in French Guiana ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33712596 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33712596 #FOAvip English Wikipedia <ref>{{Cite pmid|33712596}}</ref> Evaluating the impact of curfews and other measures on SARS-CoV-2 transmission in French Guiana #MMPMID33712596 Andronico A; Tran Kiem C; Paireau J; Succo T; Bosetti P; Lefrancq N; Nacher M; Djossou F; Sanna A; Flamand C; Salje H; Rousseau C; Cauchemez S Nat Commun 2021[Mar]; 12 (1): 1634 PMID33712596show ga While general lockdowns have proven effective to control SARS-CoV-2 epidemics, they come with enormous costs for society. It is therefore essential to identify control strategies with lower social and economic impact. Here, we report and evaluate the control strategy implemented during a large SARS-CoV-2 epidemic in June-July 2020 in French Guiana that relied on curfews, targeted lockdowns, and other measures. We find that the combination of these interventions coincided with a reduction in the basic reproduction number of SARS-CoV-2 from 1.7 to 1.1, which was sufficient to avoid hospital saturation. We estimate that thanks to the young demographics, the risk of hospitalisation following infection was 0.3 times that of metropolitan France and that about 20% of the population was infected by July. Our model projections are consistent with a recent seroprevalence study. The study showcases how mathematical modelling can be used to support healthcare planning in a context of high uncertainty. |*Pandemics/prevention & control/statistics & numerical data[MESH] |*SARS-CoV-2[MESH] |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Basic Reproduction Number/prevention & control/statistics & numerical data[MESH] |COVID-19/epidemiology/*prevention & control/*transmission[MESH] |Child[MESH] |Child, Preschool[MESH] |Female[MESH] |French Guiana/epidemiology[MESH] |Hospitalization/statistics & numerical data/trends[MESH] |Humans[MESH] |Infant[MESH] |Infant, Newborn[MESH] |Male[MESH] |Middle Aged[MESH] |Models, Statistical[MESH] |Quarantine/*methods/statistics & numerical data/trends[MESH]Evaluating the impact of curfews and other measures on SARS-CoV-2 tran(epmc).pdf DeepDyve Pubget Overpricing