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10.1590/1413-81232021263.42372020 http://scihub22266oqcxt.onion/10.1590/1413-81232021263.42372020 33729356!ä!33729356 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       Cien+Saude+Colet 2021 ; 26 (3): 1023-1033 Nephropedia Template TP {{tp|p=33729356|t=2021. Vulnerabilidade social e incidencia de COVID-19 em uma metropole brasileira |pdf=|usr=}}{{33729356}} gab.com Text Vulnerabilidade social e incidencia de COVID-19 em uma metropole brasileira JO: Cien Saude Colet http://www.kidney.de/pget.php?&tw=1&pmid=33729356 #FOAvip Vulnerability is a crucial factor in addressing COVID-19 as it can aggravate the disease. Thus, it should be considered in COVID-19 control and health prevention and promotion. This ecological study aimed to analyze the spatial distribution of the incidence of COVID-19 cases in a Brazilian metropolis and its association with social vulnerability indicators. Spatial scan analysis was used to identify COVID-19 clusters. The variables for identifying the vulnerability were inserted in a Geographically Weighted Regression (GWR) model to identify their spatial relationship with COVID-19 cases. The incidence of COVID-19 in Fortaleza was 74.52/10,000 inhabitants, with 3,554 reported cases and at least one case registered in each neighborhood. The spatial GWR showed a negative relationship between the incidence of COVID-19 and demographic density (beta=-0,0002) and a positive relationship between the incidence of COVID-19 and the percentage of self-employed >18 years (beta=1.40), and maximum per capita household income of the poorest fifth (beta=0.04). The influence of vulnerability indicators on incidence showed areas that can be the target of public policies to impact the incidence of COVID-19. Twit Text FOAVip Vulnerabilidade social e incidencia de COVID-19 em uma metropole brasileira ????Cien Saude Colet http://www.kidney.de/pget.php?&tw=1&pmid=33729356 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33729356 #FOAvip English Wikipedia <ref>{{Cite pmid|33729356}}</ref> Vulnerabilidade social e incidencia de COVID-19 em uma metropole brasileira #MMPMID33729356 Cestari VRF; Florencio RS; Sousa GJB; Garces TS; Maranhao TA; Castro RR; Cordeiro LI; Damasceno LLV; Pessoa VLMP; Pereira MLD; Moreira TMM Cien Saude Colet 2021[Mar]; 26 (3): 1023-1033 PMID33729356show ga Vulnerability is a crucial factor in addressing COVID-19 as it can aggravate the disease. Thus, it should be considered in COVID-19 control and health prevention and promotion. This ecological study aimed to analyze the spatial distribution of the incidence of COVID-19 cases in a Brazilian metropolis and its association with social vulnerability indicators. Spatial scan analysis was used to identify COVID-19 clusters. The variables for identifying the vulnerability were inserted in a Geographically Weighted Regression (GWR) model to identify their spatial relationship with COVID-19 cases. The incidence of COVID-19 in Fortaleza was 74.52/10,000 inhabitants, with 3,554 reported cases and at least one case registered in each neighborhood. The spatial GWR showed a negative relationship between the incidence of COVID-19 and demographic density (beta=-0,0002) and a positive relationship between the incidence of COVID-19 and the percentage of self-employed >18 years (beta=1.40), and maximum per capita household income of the poorest fifth (beta=0.04). The influence of vulnerability indicators on incidence showed areas that can be the target of public policies to impact the incidence of COVID-19. |*Spatio-Temporal Analysis[MESH] |*Vulnerable Populations[MESH] |Adult[MESH] |Age Factors[MESH] |Bayes Theorem[MESH] |Brazil/epidemiology[MESH] |COVID-19/*epidemiology[MESH] |Cities/epidemiology[MESH] |Comorbidity[MESH] |Educational Status[MESH] |Employment/statistics & numerical data[MESH] |Female[MESH] |Housing/standards[MESH] |Humans[MESH] |Incidence[MESH] |Income[MESH] |Male[MESH] |Middle Aged[MESH] |Population Density[MESH] |Poverty Areas[MESH] |Socioeconomic Factors[MESH]Vulnerabilidade social e incidencia de COVID-19 em uma metropole brasi(epmc).pdf DeepDyve Pubget Overpricing