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10.1093/cid/ciaa683 http://scihub22266oqcxt.onion/10.1093/cid/ciaa683 32473009!7314154!32473009     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Clin+Infect+Dis 2020 ; 71 (9): 2488-2494 Nephropedia Template TP {{tp|p=32473009|t=2020. Age-dependent Gender Differences in COVID-19 in Mainland China: Comparative Study |pdf=|usr=}}{{32473009}} gab.com Text Age-dependent Gender Differences in COVID-19 in Mainland China: Comparative Study JO: Clin Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32473009 #FOAvip BACKGROUND: The ongoing pandemic of novel coronavirus disease 2019 (COVID-19) is challenging the global public health system. Sex differences in infectious diseases are a common but neglected problem. METHODS: We used the national surveillance database of COVID-19 in mainland China to compare gender differences in attack rate (AR), proportion of severe and critical cases (PSCC), and case fatality rate (CFR) in relation to age, affected province, and onset-to-diagnosis interval. RESULTS: The overall AR was significantly higher in females than in males (63.9 vs 60.5 per 1 million persons; P < .001). In contrast, PSCC and CFR were significantly lower among females (16.9% and 4.0%) than among males (19.5% and 7.2%), with odds ratios of 0.87 and 0.57, respectively (both P < .001). The female-to-male differences were age dependent, and were significant among people aged 50-69 years for AR and in patients aged 30 years or older for both PSCC and CFR (all P </= .001). The AR, PSCC, and CFR varied greatly from province to province. However, female-to-male differences in AR, PSCC, and CFR were significant in the epicenter, Hubei province, where 82.2% confirmed cases and 97.4% deaths occurred. After adjusting for age, affected province, and onset-to-diagnosis interval, the female-to-male difference in AR, PSCC, and CFR remained significant in multivariate logistic regression analyses. CONCLUSIONS: We elucidate an age-dependent gender dimorphism for COVID-19, in which females have higher susceptibility but lower severity and fatality. Further epidemiological and biological investigations are required to better understand the sex-specific differences for effective interventions. Twit Text FOAVip Age-dependent Gender Differences in COVID-19 in Mainland China: Comparative Study ????Clin Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32473009 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32473009 #FOAvip English Wikipedia <ref>{{Cite pmid|32473009}}</ref> Age-dependent Gender Differences in COVID-19 in Mainland China: Comparative Study #MMPMID32473009 Qian J; Zhao L; Ye RZ; Li XJ; Liu YL Clin Infect Dis 2020[Dec]; 71 (9): 2488-2494 PMID32473009show ga BACKGROUND: The ongoing pandemic of novel coronavirus disease 2019 (COVID-19) is challenging the global public health system. Sex differences in infectious diseases are a common but neglected problem. METHODS: We used the national surveillance database of COVID-19 in mainland China to compare gender differences in attack rate (AR), proportion of severe and critical cases (PSCC), and case fatality rate (CFR) in relation to age, affected province, and onset-to-diagnosis interval. RESULTS: The overall AR was significantly higher in females than in males (63.9 vs 60.5 per 1 million persons; P < .001). In contrast, PSCC and CFR were significantly lower among females (16.9% and 4.0%) than among males (19.5% and 7.2%), with odds ratios of 0.87 and 0.57, respectively (both P < .001). The female-to-male differences were age dependent, and were significant among people aged 50-69 years for AR and in patients aged 30 years or older for both PSCC and CFR (all P |*Age Factors[MESH] |*Population Surveillance[MESH] |*SARS-CoV-2[MESH] |*Sex Factors[MESH] |Adult[MESH] |Age Distribution[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/*epidemiology[MESH] |China/epidemiology[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH]Age-dependent Gender Differences in COVID-19 in Mainland China: Compar(epmc).pdf DeepDyve Pubget Overpricing