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10.1016/j.ijid.2020.02.060 http://scihub22266oqcxt.onion/10.1016/j.ijid.2020.02.060 32145466!7128842!32145466     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       Int+J+Infect+Dis 2020 ; 93 (ä): 284-286 Nephropedia Template TP {{tp|p=32145466|t=2020. Serial interval of novel coronavirus (COVID-19) infections |pdf=|usr=}}{{32145466}} gab.com Text Serial interval of novel coronavirus (COVID-19) infections JO: Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32145466 #FOAvip OBJECTIVE: To estimate the serial interval of novel coronavirus (COVID-19) from information on 28 infector-infectee pairs. METHODS: We collected dates of illness onset for primary cases (infectors) and secondary cases (infectees) from published research articles and case investigation reports. We subjectively ranked the credibility of the data and performed analyses on both the full dataset (n = 28) and a subset of pairs with highest certainty in reporting (n = 18). In addition, we adjust for right truncation of the data as the epidemic is still in its growth phase. RESULTS: Accounting for right truncation and analyzing all pairs, we estimated the median serial interval at 4.0 days (95% credible interval [CrI]: 3.1, 4.9). Limiting our data to only the most certain pairs, the median serial interval was estimated at 4.6 days (95% CrI: 3.5, 5.9). CONCLUSIONS: The serial interval of COVID-19 is close to or shorter than its median incubation period. This suggests that a substantial proportion of secondary transmission may occur prior to illness onset. The COVID-19 serial interval is also shorter than the serial interval of severe acute respiratory syndrome (SARS), indicating that calculations made using the SARS serial interval may introduce bias. Twit Text FOAVip Serial interval of novel coronavirus (COVID-19) infections ????Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32145466 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32145466 #FOAvip English Wikipedia <ref>{{Cite pmid|32145466}}</ref> Serial interval of novel coronavirus (COVID-19) infections #MMPMID32145466 Nishiura H; Linton NM; Akhmetzhanov AR Int J Infect Dis 2020[Apr]; 93 (ä): 284-286 PMID32145466show ga OBJECTIVE: To estimate the serial interval of novel coronavirus (COVID-19) from information on 28 infector-infectee pairs. METHODS: We collected dates of illness onset for primary cases (infectors) and secondary cases (infectees) from published research articles and case investigation reports. We subjectively ranked the credibility of the data and performed analyses on both the full dataset (n = 28) and a subset of pairs with highest certainty in reporting (n = 18). In addition, we adjust for right truncation of the data as the epidemic is still in its growth phase. RESULTS: Accounting for right truncation and analyzing all pairs, we estimated the median serial interval at 4.0 days (95% credible interval [CrI]: 3.1, 4.9). Limiting our data to only the most certain pairs, the median serial interval was estimated at 4.6 days (95% CrI: 3.5, 5.9). CONCLUSIONS: The serial interval of COVID-19 is close to or shorter than its median incubation period. This suggests that a substantial proportion of secondary transmission may occur prior to illness onset. The COVID-19 serial interval is also shorter than the serial interval of severe acute respiratory syndrome (SARS), indicating that calculations made using the SARS serial interval may introduce bias. |*Models, Statistical[MESH] |Betacoronavirus/physiology[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/transmission[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/transmission[MESH] |SARS-CoV-2[MESH]Serial interval of novel coronavirus (COVID-19) infections (epmc).pdf DeepDyve Pubget Overpricing