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.

10.1590/1980-549720200081 http://scihub22266oqcxt.onion/10.1590/1980-549720200081 32725094!ä!32725094 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       Rev+Bras+Epidemiol 2020 ; 23 (ä): e200081 Nephropedia Template TP {{tp|p=32725094|t=2020. Prediction of cumulative rate of COVID-19 deaths in Brazil: a modeling study |pdf=|usr=}}{{32725094}} gab.com Text Prediction of cumulative rate of COVID-19 deaths in Brazil: a modeling study JO: Rev Bras Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=32725094 #FOAvip OBJECTIVE: Estimating the potential number of COVID-19 deaths in Brazil for the coming months. METHODS: The study included all confirmed cases of COVID-19 deaths, from the first confirmed death on March 17th to May 15th, 2020. These data were collected from an official Brazilian website of the Ministry of Health. The Boltzmann function was applied to a data simulation for each set of data regarding all states of the country. RESULTS: The model data were well-fitted, with R2 values close to 0.999. Up to May 15th, 14,817 COVID-19 deaths have been confirmed in the country. Amazonas has the highest rate of accumulated cases per 1,000,000 inhabitants (321.14), followed by Ceara (161.63). Rio de Janeiro, Roraima, Amazonas, Para, and Pernambuco are estimated to experience a substantial increase in the rate of cumulative cases until July 15th. Mato Grosso do Sul, Parana, Minas Gerais, Rio Grande do Sul, and Santa Catarina will show lower rates per 1,000,000 inhabitants. CONCLUSION: We estimate a substantial increase in the rate of cumulative cases in Brazil over the next months. The Boltzmann function proved to be a simple tool for epidemiological forecasting that can assist in the planning of measures to contain COVID-19. Twit Text FOAVip Prediction of cumulative rate of COVID-19 deaths in Brazil: a modeling study ????Rev Bras Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=32725094 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32725094 #FOAvip English Wikipedia <ref>{{Cite pmid|32725094}}</ref> Prediction of cumulative rate of COVID-19 deaths in Brazil: a modeling study #MMPMID32725094 Melo GC; Duprat IP; Araujo KCGM; Fischer FM; Araujo Neto RA Rev Bras Epidemiol 2020[]; 23 (ä): e200081 PMID32725094show ga OBJECTIVE: Estimating the potential number of COVID-19 deaths in Brazil for the coming months. METHODS: The study included all confirmed cases of COVID-19 deaths, from the first confirmed death on March 17th to May 15th, 2020. These data were collected from an official Brazilian website of the Ministry of Health. The Boltzmann function was applied to a data simulation for each set of data regarding all states of the country. RESULTS: The model data were well-fitted, with R2 values close to 0.999. Up to May 15th, 14,817 COVID-19 deaths have been confirmed in the country. Amazonas has the highest rate of accumulated cases per 1,000,000 inhabitants (321.14), followed by Ceara (161.63). Rio de Janeiro, Roraima, Amazonas, Para, and Pernambuco are estimated to experience a substantial increase in the rate of cumulative cases until July 15th. Mato Grosso do Sul, Parana, Minas Gerais, Rio Grande do Sul, and Santa Catarina will show lower rates per 1,000,000 inhabitants. CONCLUSION: We estimate a substantial increase in the rate of cumulative cases in Brazil over the next months. The Boltzmann function proved to be a simple tool for epidemiological forecasting that can assist in the planning of measures to contain COVID-19. |*Forecasting[MESH] |*Models, Theoretical[MESH] |Betacoronavirus[MESH] |Brazil/epidemiology[MESH] |COVID-19[MESH] |Coronavirus Infections/*mortality[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*mortality[MESH]Prediction of cumulative rate of COVID-19 deaths in Brazil: a modeling(epmc).pdf DeepDyve Pubget Overpricing