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10.1016/j.ijid.2020.09.028 http://scihub22266oqcxt.onion/10.1016/j.ijid.2020.09.028 32949778!7493765!32949778     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 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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32949778.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Int+J+Infect+Dis 2020 ; 100 (ä): 402-410 Nephropedia Template TP {{tp|p=32949778|t=2020. Coronavirus disease 2019 population-based prevalence, risk factors, hospitalization, and fatality rates in southern Brazil |pdf=|usr=}}{{32949778}} gab.com Text Coronavirus disease 2019 population-based prevalence, risk factors, hospitalization, and fatality rates in southern Brazil JO: Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32949778 #FOAvip OBJECTIVES: To assess population-based prevalence, risk factors, hospitalization, and infection fatality rates (IFR) associated with COVID-19. METHODS: We conducted two household surveys among the non-institutionalized adult population from May 30 to June 17, 2020, in Lajeado, an 84,000-inhabitant industrial city in southern Brazil. Primary outcome was prevalence of SARS-CoV-2 infection. Secondary outcomes were COVID-19-related hospitalizations and deaths occurring up to June 20, 2020. We summarized prevalence rates across surveys with meta-analysis. We assessed age-range IFR and hospitalization rate and regressed these rates over age strata using nonlinear (exponential) coefficients of determination (R(2)). RESULTS: Summarized overall prevalence was 3.40% (95% CI, 2.74-4.18), 34% lower in older adults >/=60 years. Prevalence was 14.3 and 5.4 times higher among household contacts and meat-precessing plant (MPP) workers, respectively. IFR ranged from 0.08% (0.06-0.11) to 4.63% (2.93-7.84) in individuals 20-39 years and >/=60 years, respectively. R(2) for hospitalization rate and IFR over age were 0.98 and 0.93 (both p-values <0.0001), respectively. CONCLUSIONS: This is the first population-based study in Brazil to estimate COVID-19 prevalence, hospitalization, and fatality rates per age stratum. Rates were largely age-dependent. Household contacts and MPP workers are at higher risk of infection. Our findings are valuable for health-policy making and resource allocation to mitigate the pandemic. Twit Text FOAVip Coronavirus disease 2019 population-based prevalence, risk factors, hospitalization, and fatality rates in southern Brazil ????Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32949778 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32949778 #FOAvip English Wikipedia <ref>{{Cite pmid|32949778}}</ref> Coronavirus disease 2019 population-based prevalence, risk factors, hospitalization, and fatality rates in southern Brazil #MMPMID32949778 Picon RV; Carreno I; da Silva AA; Mossmann M; Laste G; Domingues GC; Heringer LFF; Gheno BR; Alvarenga LL; Conte M Int J Infect Dis 2020[Nov]; 100 (ä): 402-410 PMID32949778show ga OBJECTIVES: To assess population-based prevalence, risk factors, hospitalization, and infection fatality rates (IFR) associated with COVID-19. METHODS: We conducted two household surveys among the non-institutionalized adult population from May 30 to June 17, 2020, in Lajeado, an 84,000-inhabitant industrial city in southern Brazil. Primary outcome was prevalence of SARS-CoV-2 infection. Secondary outcomes were COVID-19-related hospitalizations and deaths occurring up to June 20, 2020. We summarized prevalence rates across surveys with meta-analysis. We assessed age-range IFR and hospitalization rate and regressed these rates over age strata using nonlinear (exponential) coefficients of determination (R(2)). RESULTS: Summarized overall prevalence was 3.40% (95% CI, 2.74-4.18), 34% lower in older adults >/=60 years. Prevalence was 14.3 and 5.4 times higher among household contacts and meat-precessing plant (MPP) workers, respectively. IFR ranged from 0.08% (0.06-0.11) to 4.63% (2.93-7.84) in individuals 20-39 years and >/=60 years, respectively. R(2) for hospitalization rate and IFR over age were 0.98 and 0.93 (both p-values <0.0001), respectively. CONCLUSIONS: This is the first population-based study in Brazil to estimate COVID-19 prevalence, hospitalization, and fatality rates per age stratum. Rates were largely age-dependent. Household contacts and MPP workers are at higher risk of infection. Our findings are valuable for health-policy making and resource allocation to mitigate the pandemic. |*Betacoronavirus[MESH] |Adult[MESH] |Aged[MESH] |Brazil/epidemiology[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/*mortality[MESH] |Cross-Sectional Studies[MESH] |Female[MESH] |Hospitalization[MESH] |Humans[MESH] |Logistic Models[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/*mortality[MESH] |Prevalence[MESH] |Risk Factors[MESH]Coronavirus disease 2019 population-based prevalence, risk factors, h(epmc).pdf DeepDyve Pubget Overpricing