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10.1038/s41467-021-22474-9 http://scihub22266oqcxt.onion/10.1038/s41467-021-22474-9 33888698!8062464!33888698     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Commun 2021 ; 12 (1): 2394 Nephropedia Template TP {{tp|p=33888698|t=2021. Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria |pdf=|usr=}}{{33888698}} gab.com Text Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33888698 #FOAvip The COVID-19 pandemic has resulted in substantial mortality worldwide. However, to date, countries in the Middle East and Africa have reported considerably lower mortality rates than in Europe and the Americas. Motivated by reports of an overwhelmed health system, we estimate the likely under-ascertainment of COVID-19 mortality in Damascus, Syria. Using all-cause mortality data, we fit a mathematical model of COVID-19 transmission to reported mortality, estimating that 1.25% of COVID-19 deaths (sensitivity range 1.00% - 3.00%) have been reported as of 2 September 2020. By 2 September, we estimate that 4,380 (95% CI: 3,250 - 5,550) COVID-19 deaths in Damascus may have been missed, with 39.0% (95% CI: 32.5% - 45.0%) of the population in Damascus estimated to have been infected. Accounting for under-ascertainment corroborates reports of exceeded hospital bed capacity and is validated by community-uploaded obituary notifications, which confirm extensive unreported mortality in Damascus. Twit Text FOAVip Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33888698 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33888698 #FOAvip English Wikipedia <ref>{{Cite pmid|33888698}}</ref> Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria #MMPMID33888698 Watson OJ; Alhaffar M; Mehchy Z; Whittaker C; Akil Z; Brazeau NF; Cuomo-Dannenburg G; Hamlet A; Thompson HA; Baguelin M; FitzJohn RG; Knock E; Lees JA; Whittles LK; Mellan T; Winskill P; Howard N; Clapham H; Checchi F; Ferguson N; Ghani A; Beals E; Walker P Nat Commun 2021[Apr]; 12 (1): 2394 PMID33888698show ga The COVID-19 pandemic has resulted in substantial mortality worldwide. However, to date, countries in the Middle East and Africa have reported considerably lower mortality rates than in Europe and the Americas. Motivated by reports of an overwhelmed health system, we estimate the likely under-ascertainment of COVID-19 mortality in Damascus, Syria. Using all-cause mortality data, we fit a mathematical model of COVID-19 transmission to reported mortality, estimating that 1.25% of COVID-19 deaths (sensitivity range 1.00% - 3.00%) have been reported as of 2 September 2020. By 2 September, we estimate that 4,380 (95% CI: 3,250 - 5,550) COVID-19 deaths in Damascus may have been missed, with 39.0% (95% CI: 32.5% - 45.0%) of the population in Damascus estimated to have been infected. Accounting for under-ascertainment corroborates reports of exceeded hospital bed capacity and is validated by community-uploaded obituary notifications, which confirm extensive unreported mortality in Damascus. |COVID-19/epidemiology/*mortality/virology[MESH] |Humans[MESH] |Mortality/*trends[MESH] |Pandemics[MESH] |Population Surveillance/methods[MESH] |SARS-CoV-2/*isolation & purification/physiology[MESH] |Survival Rate[MESH]Leveraging community mortality indicators to infer COVID-19 mortality (epmc).pdf DeepDyve Pubget Overpricing