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10.1093/infdis/jiab424 http://scihub22266oqcxt.onion/10.1093/infdis/jiab424 34423821!8499762!34423821     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34423821&cmd=llinks): Failed to open stream: HTTP request failed! 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Joint Estimation of Generation Time and Incubation Period for Coronavirus Disease 2019 |pdf=|usr=}}{{34423821}} gab.com Text Joint Estimation of Generation Time and Incubation Period for Coronavirus Disease 2019 JO: J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=34423821 #FOAvip BACKGROUND: Coronavirus disease 2019 (COVID-19) has caused a heavy disease burden globally. The impact of process and timing of data collection on the accuracy of estimation of key epidemiological distributions are unclear. Because infection times are typically unobserved, there are relatively few estimates of generation time distribution. METHODS: We developed a statistical framework to jointly estimate generation time and incubation period from human-to-human transmission pairs, accounting for sampling biases. We applied the framework on 80 laboratory-confirmed human-to-human transmission pairs in China. We further inferred the infectiousness profile, serial interval distribution, proportions of presymptomatic transmission, and basic reproduction number (R0) for COVID-19. RESULTS: The estimated mean incubation period was 4.8 days (95% confidence interval [CI], 4.1-5.6), and mean generation time was 5.7 days (95% CI, 4.8-6.5). The estimated R0 based on the estimated generation time was 2.2 (95% CI, 1.9-2.4). A simulation study suggested that our approach could provide unbiased estimates, insensitive to the width of exposure windows. CONCLUSIONS: Properly accounting for the timing and process of data collection is critical to have correct estimates of generation time and incubation period. R0 can be biased when it is derived based on serial interval as the proxy of generation time. Twit Text FOAVip Joint Estimation of Generation Time and Incubation Period for Coronavirus Disease 2019 ????J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=34423821 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34423821 #FOAvip English Wikipedia <ref>{{Cite pmid|34423821}}</ref> Joint Estimation of Generation Time and Incubation Period for Coronavirus Disease 2019 #MMPMID34423821 Lau YC; Tsang TK; Kennedy-Shaffer L; Kahn R; Lau EHY; Chen D; Wong JY; Ali ST; Wu P; Cowling BJ J Infect Dis 2021[Nov]; 224 (10): 1664-1671 PMID34423821show ga BACKGROUND: Coronavirus disease 2019 (COVID-19) has caused a heavy disease burden globally. The impact of process and timing of data collection on the accuracy of estimation of key epidemiological distributions are unclear. Because infection times are typically unobserved, there are relatively few estimates of generation time distribution. METHODS: We developed a statistical framework to jointly estimate generation time and incubation period from human-to-human transmission pairs, accounting for sampling biases. We applied the framework on 80 laboratory-confirmed human-to-human transmission pairs in China. We further inferred the infectiousness profile, serial interval distribution, proportions of presymptomatic transmission, and basic reproduction number (R0) for COVID-19. RESULTS: The estimated mean incubation period was 4.8 days (95% confidence interval [CI], 4.1-5.6), and mean generation time was 5.7 days (95% CI, 4.8-6.5). The estimated R0 based on the estimated generation time was 2.2 (95% CI, 1.9-2.4). A simulation study suggested that our approach could provide unbiased estimates, insensitive to the width of exposure windows. CONCLUSIONS: Properly accounting for the timing and process of data collection is critical to have correct estimates of generation time and incubation period. R0 can be biased when it is derived based on serial interval as the proxy of generation time. |*COVID-19[MESH] |Basic Reproduction Number[MESH] |China/epidemiology[MESH] |Humans[MESH] |Infectious Disease Incubation Period[MESH]Joint Estimation of Generation Time and Incubation Period for Coronavi(epmc).pdf DeepDyve Pubget Overpricing