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10.3201/eid2611.201074 http://scihub22266oqcxt.onion/10.3201/eid2611.201074 32917290!7588530!32917290     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32917290&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 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       Emerg+Infect+Dis 2020 ; 26 (11): e1-e14 Nephropedia Template TP {{tp|p=32917290|t=2020. Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19 |pdf=|usr=}}{{32917290}} gab.com Text Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19 JO: Emerg Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32917290 #FOAvip We report key epidemiologic parameter estimates for coronavirus disease identified in peer-reviewed publications, preprint articles, and online reports. Range estimates for incubation period were 1.8-6.9 days, serial interval 4.0-7.5 days, and doubling time 2.3-7.4 days. The effective reproductive number varied widely, with reductions attributable to interventions. Case burden and infection fatality ratios increased with patient age. Implementation of combined interventions could reduce cases and delay epidemic peak up to 1 month. These parameters for transmission, disease severity, and intervention effectiveness are critical for guiding policy decisions. Estimates will likely change as new information becomes available. Twit Text FOAVip Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19 ????Emerg Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32917290 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32917290 #FOAvip English Wikipedia <ref>{{Cite pmid|32917290}}</ref> Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19 #MMPMID32917290 Biggerstaff M; Cowling BJ; Cucunuba ZM; Dinh L; Ferguson NM; Gao H; Hill V; Imai N; Johansson MA; Kada S; Morgan O; Pastore Y Piontti A; Polonsky JA; Prasad PV; Quandelacy TM; Rambaut A; Tappero JW; Vandemaele KA; Vespignani A; Warmbrod KL; Wong JY Emerg Infect Dis 2020[Nov]; 26 (11): e1-e14 PMID32917290show ga We report key epidemiologic parameter estimates for coronavirus disease identified in peer-reviewed publications, preprint articles, and online reports. Range estimates for incubation period were 1.8-6.9 days, serial interval 4.0-7.5 days, and doubling time 2.3-7.4 days. The effective reproductive number varied widely, with reductions attributable to interventions. Case burden and infection fatality ratios increased with patient age. Implementation of combined interventions could reduce cases and delay epidemic peak up to 1 month. These parameters for transmission, disease severity, and intervention effectiveness are critical for guiding policy decisions. Estimates will likely change as new information becomes available. |*Betacoronavirus[MESH] |*Models, Statistical[MESH] |*Models, Theoretical[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/transmission[MESH] |Disease Transmission, Infectious/*statistics & numerical data[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/transmission[MESH]Early Insights from Statistical and Mathematical Modeling of Key Epide(epmc).pdf DeepDyve Pubget Overpricing