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10.1016/j.puhip.2021.100145 http://scihub22266oqcxt.onion/10.1016/j.puhip.2021.100145 34027510!8129786!34027510     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Public+Health+Pract+(Oxf) 2021 ; 2 (ä): 100145 Nephropedia Template TP {{tp|p=34027510|t=2021. Demographic factors associated with COVID-19-related death in Palestine |pdf=|usr=}}{{34027510}} gab.com Text Demographic factors associated with COVID-19-related death in Palestine JO: Public Health Pract (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=34027510 #FOAvip OBJECTIVES: Understanding the case and death rates of COVID-19 in different countries should include socio-demographic variables to better guide health policies. We analysed COVID-19 cases in the Occupied Palestinian Territories (OPT) with attention to socio-demographic factors. STUDY DESIGN: A retrospective chart review of laboratory confirmed COVID-19 cases was conducted between March and September 2020. METHODS: Demographic data such as age, gender, place of residence, pregnancy, and symptoms were analysed. Patients were divided into two outcome groups: discharged from quarantine restrictions and dead. RESULTS: A total of 15,338 confirmed cases was examined. COVID-19 cases tended to be young (48.2% were less than 30 years of age) with an average age of 34.3 +/- 27.3, most were female (55.5%),and 20% smoked. Overall, 5183 (38%) were symptomatic and if pregnant, symptoms were more commonly reported (65.3%). The overall case-fatality was 0.93 [95% CI 0.83-1.04]. Males had a greater risk of death (OR = 2.7 [95%CI = 1.7-2.8], P < 0.001), as did those 60 years of age and older (OR = 52.0 [30.5-89.7], P < 0.001). CONCLUSION: Early detection of socio-demographic risk factors helps understand the case distribution and guide better planning, especially in countries with limited resources. Better targeting of interventions may help to limit more expensive interventions such as intensive care admissions and avoid deaths. Such data are also important for planning vaccination campaigns. Twit Text FOAVip Demographic factors associated with COVID-19-related death in Palestine ????Public Health Pract (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=34027510 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34027510 #FOAvip English Wikipedia <ref>{{Cite pmid|34027510}}</ref> Demographic factors associated with COVID-19-related death in Palestine #MMPMID34027510 Maraqa B; Al-Shakhra K; Alawneh M; Jallad R; Alkaila M Public Health Pract (Oxf) 2021[Nov]; 2 (ä): 100145 PMID34027510show ga OBJECTIVES: Understanding the case and death rates of COVID-19 in different countries should include socio-demographic variables to better guide health policies. We analysed COVID-19 cases in the Occupied Palestinian Territories (OPT) with attention to socio-demographic factors. STUDY DESIGN: A retrospective chart review of laboratory confirmed COVID-19 cases was conducted between March and September 2020. METHODS: Demographic data such as age, gender, place of residence, pregnancy, and symptoms were analysed. Patients were divided into two outcome groups: discharged from quarantine restrictions and dead. RESULTS: A total of 15,338 confirmed cases was examined. COVID-19 cases tended to be young (48.2% were less than 30 years of age) with an average age of 34.3 +/- 27.3, most were female (55.5%),and 20% smoked. Overall, 5183 (38%) were symptomatic and if pregnant, symptoms were more commonly reported (65.3%). The overall case-fatality was 0.93 [95% CI 0.83-1.04]. Males had a greater risk of death (OR = 2.7 [95%CI = 1.7-2.8], P < 0.001), as did those 60 years of age and older (OR = 52.0 [30.5-89.7], P < 0.001). CONCLUSION: Early detection of socio-demographic risk factors helps understand the case distribution and guide better planning, especially in countries with limited resources. Better targeting of interventions may help to limit more expensive interventions such as intensive care admissions and avoid deaths. Such data are also important for planning vaccination campaigns. äDemographic factors associated with COVID-19-related death in Palestin(epmc).pdf DeepDyve Pubget Overpricing