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10.1016/S2468-2667(21)00064-5 http://scihub22266oqcxt.onion/10.1016/S2468-2667(21)00064-5 33838700!8032222!33838700     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 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Lancet+Public+Health 2021 ; 6 (6): e408-e415 Nephropedia Template TP {{tp|p=33838700|t=2021. Monitoring the proportion of the population infected by SARS-CoV-2 using age-stratified hospitalisation and serological data: a modelling study |pdf=|usr=}}{{33838700}} gab.com Text Monitoring the proportion of the population infected by SARS-CoV-2 using age-stratified hospitalisation and serological data: a modelling study JO: Lancet Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33838700 #FOAvip BACKGROUND: Regional monitoring of the proportion of the population who have been infected by SARS-CoV-2 is important to guide local management of the epidemic, but is difficult in the absence of regular nationwide serosurveys. We aimed to estimate in near real time the proportion of adults who have been infected by SARS-CoV-2. METHODS: In this modelling study, we developed a method to reconstruct the proportion of adults who have been infected by SARS-CoV-2 and the proportion of infections being detected, using the joint analysis of age-stratified seroprevalence, hospitalisation, and case data, with deconvolution methods. We developed our method on a dataset consisting of seroprevalence estimates from 9782 participants (aged >/=20 years) in the two worst affected regions of France in May, 2020, and applied our approach to the 13 French metropolitan regions over the period March, 2020, to January, 2021. We validated our method externally using data from a national seroprevalence study done between May and June, 2020. FINDINGS: We estimate that 5.7% (95% CI 5.1-6.4) of adults in metropolitan France had been infected with SARS-CoV-2 by May 11, 2020. This proportion remained stable until August, 2020, and increased to 14.9% (13.2-16.9) by Jan 15, 2021. With 26.5% (23.4-29.8) of adult residents having been infected in Ile-de-France (Paris region) compared with 5.1% (4.5-5.8) in Brittany by January, 2021, regional variations remained large (coefficient of variation [CV] 0.50) although less so than in May, 2020 (CV 0.74). The proportion infected was twice as high (20.4%, 15.6-26.3) in 20-49-year-olds than in individuals aged 50 years or older (9.7%, 6.9-14.1). 40.2% (34.3-46.3) of infections in adults were detected in June to August, 2020, compared with 49.3% (42.9-55.9) in November, 2020, to January, 2021. Our regional estimates of seroprevalence were strongly correlated with the external validation dataset (coefficient of correlation 0.89). INTERPRETATION: Our simple approach to estimate the proportion of adults that have been infected with SARS-CoV-2 can help to characterise the burden of SARS-CoV-2 infection, epidemic dynamics, and the performance of surveillance in different regions. FUNDING: EU RECOVER, Agence Nationale de la Recherche, Fondation pour la Recherche Medicale, Institut National de la Sante et de la Recherche Medicale (Inserm). Twit Text FOAVip Monitoring the proportion of the population infected by SARS-CoV-2 using age-stratified hospitalisation and serological data: a modelling study ????Lancet Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33838700 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33838700 #FOAvip English Wikipedia <ref>{{Cite pmid|33838700}}</ref> Monitoring the proportion of the population infected by SARS-CoV-2 using age-stratified hospitalisation and serological data: a modelling study #MMPMID33838700 Hoze N; Paireau J; Lapidus N; Tran Kiem C; Salje H; Severi G; Touvier M; Zins M; de Lamballerie X; Levy-Bruhl D; Carrat F; Cauchemez S Lancet Public Health 2021[Jun]; 6 (6): e408-e415 PMID33838700show ga BACKGROUND: Regional monitoring of the proportion of the population who have been infected by SARS-CoV-2 is important to guide local management of the epidemic, but is difficult in the absence of regular nationwide serosurveys. We aimed to estimate in near real time the proportion of adults who have been infected by SARS-CoV-2. METHODS: In this modelling study, we developed a method to reconstruct the proportion of adults who have been infected by SARS-CoV-2 and the proportion of infections being detected, using the joint analysis of age-stratified seroprevalence, hospitalisation, and case data, with deconvolution methods. We developed our method on a dataset consisting of seroprevalence estimates from 9782 participants (aged >/=20 years) in the two worst affected regions of France in May, 2020, and applied our approach to the 13 French metropolitan regions over the period March, 2020, to January, 2021. We validated our method externally using data from a national seroprevalence study done between May and June, 2020. FINDINGS: We estimate that 5.7% (95% CI 5.1-6.4) of adults in metropolitan France had been infected with SARS-CoV-2 by May 11, 2020. This proportion remained stable until August, 2020, and increased to 14.9% (13.2-16.9) by Jan 15, 2021. With 26.5% (23.4-29.8) of adult residents having been infected in Ile-de-France (Paris region) compared with 5.1% (4.5-5.8) in Brittany by January, 2021, regional variations remained large (coefficient of variation [CV] 0.50) although less so than in May, 2020 (CV 0.74). The proportion infected was twice as high (20.4%, 15.6-26.3) in 20-49-year-olds than in individuals aged 50 years or older (9.7%, 6.9-14.1). 40.2% (34.3-46.3) of infections in adults were detected in June to August, 2020, compared with 49.3% (42.9-55.9) in November, 2020, to January, 2021. Our regional estimates of seroprevalence were strongly correlated with the external validation dataset (coefficient of correlation 0.89). INTERPRETATION: Our simple approach to estimate the proportion of adults that have been infected with SARS-CoV-2 can help to characterise the burden of SARS-CoV-2 infection, epidemic dynamics, and the performance of surveillance in different regions. FUNDING: EU RECOVER, Agence Nationale de la Recherche, Fondation pour la Recherche Medicale, Institut National de la Sante et de la Recherche Medicale (Inserm). |Adult[MESH] |Age Distribution[MESH] |Aged[MESH] |COVID-19/*epidemiology/therapy[MESH] |France/epidemiology[MESH] |Hospitalization/statistics & numerical data[MESH] |Humans[MESH] |Middle Aged[MESH] |Models, Statistical[MESH] |Public Health Surveillance/*methods[MESH] |Seroepidemiologic Studies[MESH]Monitoring the proportion of the population infected by SARS-CoV-2 usi(epmc).pdf DeepDyve Pubget Overpricing