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10.11606/s1518-8787.2022056003868 http://scihub22266oqcxt.onion/10.11606/s1518-8787.2022056003868 35384998!8963746!35384998     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 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\35384998.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Rev+Saude+Publica 2022 ; 56 (ä): 14 Nephropedia Template TP {{tp|p=35384998|t=2022. Spatial correlation of covid-19 with intensive care unit beds in Parana |pdf=|usr=}}{{35384998}} gab.com Text Spatial correlation of covid-19 with intensive care unit beds in Parana JO: Rev Saude Publica http://www.kidney.de/pget.php?&tw=1&pmid=35384998 #FOAvip OBJECTIVE: To analyze the spatial correlation between confirmed cases of covid-19 and the intensive care unit beds exclusive to the disease in municipalities of Parana. METHODS: This is an epidemiological study of ecological type which used data from the Epidemiological Report provided by the Department of Health of Parana on the confirmed cases of covid-19 from March 12, 2020, to January 18, 2021. The number of intensive care beds exclusive to covid-19 in each municipality of Parana was obtained by the Cadastro Nacional de Estabelecimentos de Saude (CNES - National Registry of Health Establishments), provided online by the Departamento de Informatica do Sistema Unico de Saude (Datasus - Informatics Department of the Brazilian Unified Health System). The Bivariate Moran's Index (local and global) was used to analyze the intensive care bed variable and spatial correlation, with a 5% significance level. LISA Map was used to identify critical and transition areas. RESULTS: In the analyzed period, we found 499,777 confirmed cases of covid-19 and 1,029 intensive care beds exclusive to the disease in Parana. We identified a positive spatial autocorrelation between the confirmed cases of covid-19 (0.404-p </= 0.001) and intensive care beds exclusive to the disease (0.085-p </= 0.001) and disparities between the regions of Parana. CONCLUSION: Spatial analysis indicated that confirmed cases of covid-19 are related to the distribution of intensive care beds exclusive to the disease in Parana, allowing us to find priority areas of care in the state regarding the dissemination and control of the disease. Twit Text FOAVip Spatial correlation of covid-19 with intensive care unit beds in Parana ????Rev Saude Publica http://www.kidney.de/pget.php?&tw=1&pmid=35384998 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35384998 #FOAvip English Wikipedia <ref>{{Cite pmid|35384998}}</ref> Spatial correlation of covid-19 with intensive care unit beds in Parana #MMPMID35384998 Covre ER; Pereira ND; Oliveira NN; Charlo PB; Oliveira MLF; Oliveira RR; Carreira L; Facchini LA; Vissoci JRN; Salci MA Rev Saude Publica 2022[]; 56 (ä): 14 PMID35384998show ga OBJECTIVE: To analyze the spatial correlation between confirmed cases of covid-19 and the intensive care unit beds exclusive to the disease in municipalities of Parana. METHODS: This is an epidemiological study of ecological type which used data from the Epidemiological Report provided by the Department of Health of Parana on the confirmed cases of covid-19 from March 12, 2020, to January 18, 2021. The number of intensive care beds exclusive to covid-19 in each municipality of Parana was obtained by the Cadastro Nacional de Estabelecimentos de Saude (CNES - National Registry of Health Establishments), provided online by the Departamento de Informatica do Sistema Unico de Saude (Datasus - Informatics Department of the Brazilian Unified Health System). The Bivariate Moran's Index (local and global) was used to analyze the intensive care bed variable and spatial correlation, with a 5% significance level. LISA Map was used to identify critical and transition areas. RESULTS: In the analyzed period, we found 499,777 confirmed cases of covid-19 and 1,029 intensive care beds exclusive to the disease in Parana. We identified a positive spatial autocorrelation between the confirmed cases of covid-19 (0.404-p |*COVID-19/epidemiology[MESH] |Brazil/epidemiology[MESH] |Government Programs[MESH] |Humans[MESH] |Intensive Care Units[MESH]Spatial correlation of covid-19 with intensive care unit beds in Paran(epmc).pdf DeepDyve Pubget Overpricing