During an epidemic,accurate estimation of the numbers of viral infections in different regions and groups is important for understanding transmission and guiding public health actions.This depends on effective testing...During an epidemic,accurate estimation of the numbers of viral infections in different regions and groups is important for understanding transmission and guiding public health actions.This depends on effective testing strategies that identify a high proportion of infections(that is,provide high ascertainment rates).For the novel coronavirus SARS-CoV-2,ascertainment rates do not appear to be high in most jurisdictions,but quantitative analysis of testing has been limited.We provide statistical models for studying testing and ascertainment rates,and illustrate them on public data on testing and case counts in Ontario,Canada.展开更多
Qin,Liu and Li(henceforth QLL)review methods for combining information using empirical likelihood and related approaches;many of these ideas originated in the earlier work of Jing Qin.I thank the authors for their rev...Qin,Liu and Li(henceforth QLL)review methods for combining information using empirical likelihood and related approaches;many of these ideas originated in the earlier work of Jing Qin.I thank the authors for their review,and for the opportunity to contribute to its discussion.I have little to say about technical aspects,which are well established but will comment briefly on broader aspects of data integration,and implications for methods like those in the article.展开更多
基金Research was supported in part by Discovery Grant RGPIN-2017-04055 to JFL from the Natural Sciences and Engineering Research Council of Canada.
文摘During an epidemic,accurate estimation of the numbers of viral infections in different regions and groups is important for understanding transmission and guiding public health actions.This depends on effective testing strategies that identify a high proportion of infections(that is,provide high ascertainment rates).For the novel coronavirus SARS-CoV-2,ascertainment rates do not appear to be high in most jurisdictions,but quantitative analysis of testing has been limited.We provide statistical models for studying testing and ascertainment rates,and illustrate them on public data on testing and case counts in Ontario,Canada.
文摘Qin,Liu and Li(henceforth QLL)review methods for combining information using empirical likelihood and related approaches;many of these ideas originated in the earlier work of Jing Qin.I thank the authors for their review,and for the opportunity to contribute to its discussion.I have little to say about technical aspects,which are well established but will comment briefly on broader aspects of data integration,and implications for methods like those in the article.
