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10.1590/0102-311x00075720 http://scihub22266oqcxt.onion/10.1590/0102-311x00075720 32428080!ä!32428080 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 259.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cad+Saude+Publica 2020 ; 36 (5): e00075720 Nephropedia Template TP {{tp|p=32428080|t=2020. Vulnerabilidade a formas graves de COVID-19: uma analise intramunicipal na cidade do Rio de Janeiro, Brasil |pdf=|usr=}}{{32428080}} gab.com Text Vulnerabilidade a formas graves de COVID-19: uma analise intramunicipal na cidade do Rio de Janeiro, Brasil JO: Cad Saude Publica http://www.kidney.de/pget.php?&tw=1&pmid=32428080 #FOAvip Given the characteristics of the COVID-19 pandemic and the limited tools for orienting interventions in surveillance, control, and clinical care, the current article aims to identify areas with greater vulnerability to severe cases of the disease in Rio de Janeiro, Brazil, a city characterized by huge social and spatial heterogeneity. In order to identify these areas, the authors prepared an index of vulnerability to severe cases of COVID-19 based on the construction, weighting, and integration of three levels of information: mean number of residents per household and density of persons 60 years or older (both per census tract) and neighborhood tuberculosis incidence rate in the year 2018. The data on residents per household and density of persons 60 years or older were obtained from the 2010 Population Census, and data on tuberculosis incidence were taken from the Brazilian Information System for Notificable Diseases (SINAN). Weighting of the indicators comprising the index used analytic hierarchy process (AHP), and the levels of information were integrated via weighted linear combination with map algebra. Spatialization of the index of vulnerability to severe COVID-19 in the city of Rio de Janeiro reveals the existence of more vulnerable areas in different parts of the city's territory, reflecting its urban complexity. The areas with greatest vulnerability are located in the North and West Zones of the city and in poor neighborhoods nested within upper-income parts of the South and West Zones. Understanding these conditions of vulnerability can facilitate the development of strategies to monitor the evolution of COVID-19 and orient measures for prevention and health promotion. Twit Text FOAVip Vulnerabilidade a formas graves de COVID-19: uma analise intramunicipal na cidade do Rio de Janeiro, Brasil ????Cad Saude Publica http://www.kidney.de/pget.php?&tw=1&pmid=32428080 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32428080 #FOAvip English Wikipedia <ref>{{Cite pmid|32428080}}</ref> Vulnerabilidade a formas graves de COVID-19: uma analise intramunicipal na cidade do Rio de Janeiro, Brasil #MMPMID32428080 Santos JPCD; Siqueira ASP; Praca HLF; Albuquerque HG Cad Saude Publica 2020[]; 36 (5): e00075720 PMID32428080show ga Given the characteristics of the COVID-19 pandemic and the limited tools for orienting interventions in surveillance, control, and clinical care, the current article aims to identify areas with greater vulnerability to severe cases of the disease in Rio de Janeiro, Brazil, a city characterized by huge social and spatial heterogeneity. In order to identify these areas, the authors prepared an index of vulnerability to severe cases of COVID-19 based on the construction, weighting, and integration of three levels of information: mean number of residents per household and density of persons 60 years or older (both per census tract) and neighborhood tuberculosis incidence rate in the year 2018. The data on residents per household and density of persons 60 years or older were obtained from the 2010 Population Census, and data on tuberculosis incidence were taken from the Brazilian Information System for Notificable Diseases (SINAN). Weighting of the indicators comprising the index used analytic hierarchy process (AHP), and the levels of information were integrated via weighted linear combination with map algebra. Spatialization of the index of vulnerability to severe COVID-19 in the city of Rio de Janeiro reveals the existence of more vulnerable areas in different parts of the city's territory, reflecting its urban complexity. The areas with greatest vulnerability are located in the North and West Zones of the city and in poor neighborhoods nested within upper-income parts of the South and West Zones. Understanding these conditions of vulnerability can facilitate the development of strategies to monitor the evolution of COVID-19 and orient measures for prevention and health promotion. |*Betacoronavirus[MESH] |*Pandemics[MESH] |Brazil/epidemiology[MESH] |COVID-19[MESH] |Comorbidity[MESH] |Coronavirus Infections/*epidemiology[MESH] |Epidemiological Monitoring[MESH] |Humans[MESH] |Incidence[MESH] |Middle Aged[MESH] |Pneumonia, Viral/*epidemiology[MESH] |Poverty Areas[MESH] |Risk Factors[MESH] |SARS-CoV-2[MESH] |Severity of Illness Index[MESH] |Socioeconomic Factors[MESH] |Spatial Analysis[MESH]Vulnerabilidade a formas graves de COVID-19: uma analise intramunicipa(epmc).pdf DeepDyve Pubget Overpricing