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10.1016/j.cegh.2020.08.007 http://scihub22266oqcxt.onion/10.1016/j.cegh.2020.08.007 32869006!7448781!32869006     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Clin+Epidemiol+Glob+Health 2021 ; 9 (ä): 157-161 Nephropedia Template TP {{tp|p=32869006|t=2021. Estimates of serial interval for COVID-19: A systematic review and meta-analysis |pdf=|usr=}}{{32869006}} gab.com Text Estimates of serial interval for COVID-19: A systematic review and meta-analysis JO: Clin Epidemiol Glob Health http://www.kidney.de/pget.php?&tw=1&pmid=32869006 #FOAvip BACKGROUND: On 11(th) March 2020, the World Health Organization declared COVID-19 as Pandemic. The estimation of transmission dynamics in the initial days of the outbreak of any infectious disease is crucial to control its spread in a new area. The serial interval is one of the significant epidemiological measures that determine the spread of infectious disease. It is the time interval between the onset of symptoms in the primary and secondary case. OBJECTIVE: The present study aimed at the qualitative and quantitative synthesis of the currently available evidence for the serial interval of COVID-19. METHODOLOGY: Data on serial intervals were extracted from 11 studies following a systematic review. A meta-analysis was performed to estimate the pooled estimate of the serial interval. The heterogeneity and bias in the included studies were tested by various statistical measures and tests, including I(2) statistic, Cochran's Q test, Egger's test, and Beggs's test. RESULT: The pooled estimate for the serial interval was 5.40 (5.19, 5.61) and 5.19 (4.37, 6.02) days by the fixed and random effects model, respectively. The heterogeneity between the studies was found to be 89.9% by I(2) statistic. There is no potential bias introduced in the meta-analysis due to small study effects. CONCLUSION: The present review provides sufficient evidence for the estimate of serial interval of COVID-19, which can help in understanding the epidemiology and transmission of the disease. The information on serial interval can be useful in developing various policies regarding contact tracing and monitoring community transmission of COVID-19. Twit Text FOAVip Estimates of serial interval for COVID-19: A systematic review and meta-analysis ????Clin Epidemiol Glob Health http://www.kidney.de/pget.php?&tw=1&pmid=32869006 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32869006 #FOAvip English Wikipedia <ref>{{Cite pmid|32869006}}</ref> Estimates of serial interval for COVID-19: A systematic review and meta-analysis #MMPMID32869006 Rai B; Shukla A; Dwivedi LK Clin Epidemiol Glob Health 2021[Jan]; 9 (ä): 157-161 PMID32869006show ga BACKGROUND: On 11(th) March 2020, the World Health Organization declared COVID-19 as Pandemic. The estimation of transmission dynamics in the initial days of the outbreak of any infectious disease is crucial to control its spread in a new area. The serial interval is one of the significant epidemiological measures that determine the spread of infectious disease. It is the time interval between the onset of symptoms in the primary and secondary case. OBJECTIVE: The present study aimed at the qualitative and quantitative synthesis of the currently available evidence for the serial interval of COVID-19. METHODOLOGY: Data on serial intervals were extracted from 11 studies following a systematic review. A meta-analysis was performed to estimate the pooled estimate of the serial interval. The heterogeneity and bias in the included studies were tested by various statistical measures and tests, including I(2) statistic, Cochran's Q test, Egger's test, and Beggs's test. RESULT: The pooled estimate for the serial interval was 5.40 (5.19, 5.61) and 5.19 (4.37, 6.02) days by the fixed and random effects model, respectively. The heterogeneity between the studies was found to be 89.9% by I(2) statistic. There is no potential bias introduced in the meta-analysis due to small study effects. CONCLUSION: The present review provides sufficient evidence for the estimate of serial interval of COVID-19, which can help in understanding the epidemiology and transmission of the disease. The information on serial interval can be useful in developing various policies regarding contact tracing and monitoring community transmission of COVID-19. äEstimates of serial interval for COVID-19: A systematic review and met(epmc).pdf DeepDyve Pubget Overpricing