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10.1590/1413-81232020256.1.09632020 http://scihub22266oqcxt.onion/10.1590/1413-81232020256.1.09632020 32520284!ä!32520284 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 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       Cien+Saude+Colet 2020 ; 25 (suppl 1): 2395-2401 Nephropedia Template TP {{tp|p=32520284|t=2020. Evolucao da prevalencia de infeccao por COVID-19 no Rio Grande do Sul, Brasil: inqueritos sorologicos seriados |pdf=|usr=}}{{32520284}} gab.com Text Evolucao da prevalencia de infeccao por COVID-19 no Rio Grande do Sul, Brasil: inqueritos sorologicos seriados JO: Cien Saude Colet http://www.kidney.de/pget.php?&tw=1&pmid=32520284 #FOAvip COVID-19, the disease produced by the virus SARS-CoV-2, has spread quickly throughout the world, leading the World Health Organization to first classify it as an international health emergency and, subsequently, declaring it pandemic. The number of confirmed cases, as April 11, surpassed 1,700,000, but this figure does not reflect the prevalence of COVID-19 in the population as, in many countries, tests are almost exclusively performed in people with symptoms, particularly severe cases. To properly assess the magnitude of the problem and to contribute to the design of evidence-based policies for fighting COVID-19, one must accurately estimate the population prevalence of infection. Our study is aimed at estimating the prevalence of infected individuals in the state of Rio Grande do Sul, Brazil, to document how fast the infection spreads, and to estimate the proportion of infected persons who present or presented symptoms, as well as the proportion of asymptomatic infections. Four repeated serological surveys will be conducted in probability samples of nine sentinel cities every two weeks. Tests will be performed in 4,500 participants in each survey, totaling18,000 interviews. Interviews and tests will be conducted at the participants' household. A rapid test for the detection of antibodies will be used; the test was validated prior to the beginning of the fieldwork. Twit Text FOAVip Evolucao da prevalencia de infeccao por COVID-19 no Rio Grande do Sul, Brasil: inqueritos sorologicos seriados ????Cien Saude Colet http://www.kidney.de/pget.php?&tw=1&pmid=32520284 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32520284 #FOAvip English Wikipedia <ref>{{Cite pmid|32520284}}</ref> Evolucao da prevalencia de infeccao por COVID-19 no Rio Grande do Sul, Brasil: inqueritos sorologicos seriados #MMPMID32520284 Hallal PC; Horta BL; Barros AJD; Dellagostin OA; Hartwig FP; Pellanda LC; Struchiner CJ; Burattini MN; Silveira MFD; Menezes AMB; Barros FC; Victora CG Cien Saude Colet 2020[Jun]; 25 (suppl 1): 2395-2401 PMID32520284show ga COVID-19, the disease produced by the virus SARS-CoV-2, has spread quickly throughout the world, leading the World Health Organization to first classify it as an international health emergency and, subsequently, declaring it pandemic. The number of confirmed cases, as April 11, surpassed 1,700,000, but this figure does not reflect the prevalence of COVID-19 in the population as, in many countries, tests are almost exclusively performed in people with symptoms, particularly severe cases. To properly assess the magnitude of the problem and to contribute to the design of evidence-based policies for fighting COVID-19, one must accurately estimate the population prevalence of infection. Our study is aimed at estimating the prevalence of infected individuals in the state of Rio Grande do Sul, Brazil, to document how fast the infection spreads, and to estimate the proportion of infected persons who present or presented symptoms, as well as the proportion of asymptomatic infections. Four repeated serological surveys will be conducted in probability samples of nine sentinel cities every two weeks. Tests will be performed in 4,500 participants in each survey, totaling18,000 interviews. Interviews and tests will be conducted at the participants' household. A rapid test for the detection of antibodies will be used; the test was validated prior to the beginning of the fieldwork. |*Betacoronavirus/immunology[MESH] |*Pandemics[MESH] |*Sentinel Surveillance[MESH] |Antibodies, Viral/blood[MESH] |Asymptomatic Infections/*epidemiology[MESH] |Brazil/epidemiology[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Clinical Laboratory Techniques/ethics/methods/*statistics & numerical data[MESH] |Coronavirus Infections/diagnosis/*epidemiology/transmission[MESH] |Humans[MESH] |Pneumonia, Viral/*epidemiology/transmission[MESH] |Prevalence[MESH] |SARS-CoV-2[MESH]Evolucao da prevalencia de infeccao por COVID-19 no Rio Grande do Sul,(epmc).pdf DeepDyve Pubget Overpricing