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.

10.1016/j.jstrokecerebrovasdis.2020.105089 http://scihub22266oqcxt.onion/10.1016/j.jstrokecerebrovasdis.2020.105089 C7315949!7315949 !32807484     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 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\32807484 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       J+Stroke+Cerebrovasc+Dis 2020 ; 29 (9 ): 105089 Nephropedia Template TP {{tp|p=32807484 |t=2020. COVID-19 Pandemic and Burden of Non-Communicable Diseases: An Ecological Study on Data of 185 Countries |pdf=|usr=}}{{32807484 }} gab.com Text COVID-19 Pandemic and Burden of Non-Communicable Diseases: An Ecological Study on Data of 185 Countries JO: J Stroke Cerebrovasc Dis http://www.kidney.de/pget.php?&tw=1&pmid=32807484 #FOAvip BACKGROUND: The interaction between coronavirus disease 2019 (COVID-19) and non-communicable diseases may increase the global burden of disease. We assessed the association of COVID-19 with ageing and non-communicable diseases. METHODS: We extracted data regarding non-communicable disease, particularly cardiovascular disease, deaths, disability-adjusted life years (DALYs), and healthy life expectancy (HALE) from the Global Burden of Disease Study (GBD) 2017. We obtained data of confirmed COVID-19 cases, deaths, and tests from the Our World in Data database as of May 28, 2020. Potential confounders of pandemic outcomes analyzed include institutional lockdown delay, hemispheric geographical location, and number of tourists. We compared all countries according to GBD classification and World Bank income level. We assessed the correlation between independent variables associated with COVID-19 caseload and mortality using Spearman's rank correlation and adjusted mixed model analysis. FINDINGS: High-income had the highest, and the Southeast Asia, East Asia, and Oceania region had the least cases per million population (3050.60 vs. 63.86). Sub-saharan region has reported the lowest number of COVID-19 mortality (1.9). Median delay to lockdown initiation varied from one day following the first case in Latin America and Caribbean region, to 34 days in Southeast Asia, East Asia, and Oceania. Globally, non-communicable disease DALYs were correlated with COVID-19 cases (r?=?0.32, p<0.001) and deaths (r?=?0.37, p<0.001). HALE correlated with COVID-19 cases (r?=?0.63, p<0.001) and deaths (r?=?0.61, p<0.001). HALE was independently associated with COVID-19 case rate and the number of tourists was associated with COVID-19 mortality in the adjusted model. INTERPRETATION: Preventive measures against COVID-19 should protect the public from the dual burden of communicable and non-communicable diseases, particularly in the elderly. In addition to active COVID-19 surveillance, policymakers should utilize this evidence as a guide for prevention and coordination of health services. This model is timely, as many countries have begun to reduce social isolation. Twit Text FOAVip COVID-19 Pandemic and Burden of Non-Communicable Diseases: An Ecological Study on Data of 185 Countries ????J Stroke Cerebrovasc Dis http://www.kidney.de/pget.php?&tw=1&pmid=32807484 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32807484 #FOAvip English Wikipedia <ref>{{Cite pmid|32807484 }}</ref> COVID-19 Pandemic and Burden of Non-Communicable Diseases: An Ecological Study on Data of 185 Countries #MMPMID32807484 Azarpazhooh MR ; Morovatdar N ; Avan A ; Phan TG ; Divani AA ; Yassi N ; Stranges S ; Silver B ; Biller J ; Tokazebani Belasi M ; Kazemi Neya S ; Khorram B ; Frydman A ; Nilanont Y ; Onorati E ; Di Napoli M J Stroke Cerebrovasc Dis 2020[Sep]; 29 (9 ): 105089 PMID32807484 show ga BACKGROUND: The interaction between coronavirus disease 2019 (COVID-19) and non-communicable diseases may increase the global burden of disease. We assessed the association of COVID-19 with ageing and non-communicable diseases. METHODS: We extracted data regarding non-communicable disease, particularly cardiovascular disease, deaths, disability-adjusted life years (DALYs), and healthy life expectancy (HALE) from the Global Burden of Disease Study (GBD) 2017. We obtained data of confirmed COVID-19 cases, deaths, and tests from the Our World in Data database as of May 28, 2020. Potential confounders of pandemic outcomes analyzed include institutional lockdown delay, hemispheric geographical location, and number of tourists. We compared all countries according to GBD classification and World Bank income level. We assessed the correlation between independent variables associated with COVID-19 caseload and mortality using Spearman's rank correlation and adjusted mixed model analysis. FINDINGS: High-income had the highest, and the Southeast Asia, East Asia, and Oceania region had the least cases per million population (3050.60 vs. 63.86). Sub-saharan region has reported the lowest number of COVID-19 mortality (1.9). Median delay to lockdown initiation varied from one day following the first case in Latin America and Caribbean region, to 34 days in Southeast Asia, East Asia, and Oceania. Globally, non-communicable disease DALYs were correlated with COVID-19 cases (r?=?0.32, p<0.001) and deaths (r?=?0.37, p<0.001). HALE correlated with COVID-19 cases (r?=?0.63, p<0.001) and deaths (r?=?0.61, p<0.001). HALE was independently associated with COVID-19 case rate and the number of tourists was associated with COVID-19 mortality in the adjusted model. INTERPRETATION: Preventive measures against COVID-19 should protect the public from the dual burden of communicable and non-communicable diseases, particularly in the elderly. In addition to active COVID-19 surveillance, policymakers should utilize this evidence as a guide for prevention and coordination of health services. This model is timely, as many countries have begun to reduce social isolation. |*Global Health [MESH] |Age Factors [MESH] |Aged [MESH] |Aged, 80 and over [MESH] |Betacoronavirus/pathogenicity [MESH] |COVID-19 [MESH] |Cause of Death [MESH] |Coronavirus Infections/*epidemiology/mortality/prevention & control/virology [MESH] |Cost of Illness [MESH] |Databases, Factual [MESH] |Female [MESH] |Health Services Needs and Demand [MESH] |Health Status Disparities [MESH] |Healthcare Disparities [MESH] |Host-Pathogen Interactions [MESH] |Humans [MESH] |Incidence [MESH] |Infection Control [MESH] |Male [MESH] |Middle Aged [MESH] |Needs Assessment [MESH] |Noncommunicable Diseases/*epidemiology/mortality/prevention & control [MESH] |Pandemics/prevention & control [MESH] |Pneumonia, Viral/*epidemiology/mortality/prevention & control/virology [MESH] |Prognosis [MESH] |Risk Factors [MESH] |SARS-CoV-2 [MESH]COVID-19 Pandemic and Burden of Non-Communicable Diseases: An Ecologic(epmc).pdf DeepDyve Pubget Overpricing