Author: Ali, Sheikh Taslim; Wang, Lin; Lau, Eric H. Y.; Xu, Xiao-Ke; Du, Zhanwei; Wu, Ye; Leung, Gabriel M.; Cowling, Benjamin J.
                    Title: Serial interval of SARS-CoV-2 was shortened over time by nonpharmaceutical interventions  Cord-id: 0h2x79ye  Document date: 2020_7_21
                    ID: 0h2x79ye
                    
                    Snippet: Studies of novel coronavirus disease (COVID-19) have reported varying estimates of epidemiological parameters including serial interval distributions, i.e., the time between illness onset in successive cases in a transmission chain, and reproduction numbers. By compiling a line-list database of transmission pairs in mainland China, we show that mean serial intervals of COVID-19 have shortened substantially from 7.8 days to 2.6 days within a month (January 9 to February 13, 2020). This change is 
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: Studies of novel coronavirus disease (COVID-19) have reported varying estimates of epidemiological parameters including serial interval distributions, i.e., the time between illness onset in successive cases in a transmission chain, and reproduction numbers. By compiling a line-list database of transmission pairs in mainland China, we show that mean serial intervals of COVID-19 have shortened substantially from 7.8 days to 2.6 days within a month (January 9 to February 13, 2020). This change is driven by enhanced non-pharmaceutical interventions, in particular case isolation. We also show that using real-time estimation of serial intervals allowing for variation over time, provides more accurate estimates of reproduction numbers than using conventionally fixed serial interval distributions. These findings could improve assessment of transmission dynamics, forecasting future incidence, and estimating the impact of control measures.
 
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