ern: An R package to estimate the effective reproduction number using clinical and wastewater surveillance data

被引:1
|
作者
Champredon, David [1 ]
Papst, Irena [1 ]
Yusuf, Warsame [1 ]
机构
[1] Publ Hlth Agcy Canada, Publ Hlth Risk Sci Div, Natl Microbiol Lab, Guelph, ON, Canada
来源
PLOS ONE | 2024年 / 19卷 / 06期
关键词
MODEL;
D O I
10.1371/journal.pone.0305550
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The effective reproduction number, R-t, is an important epidemiological metric used to assess the state of an epidemic, as well as the effectiveness of public health interventions undertaken in response. When R-t is above one, it indicates that new infections are increasing, and thus the epidemic is growing, while an R-t is below one indicates that new infections are decreasing, and so the epidemic is under control. There are several established software packages that are readily available to statistically estimate R-t using clinical surveillance data. However, there are comparatively few accessible tools for estimating R-t from pathogen wastewater concentration, a surveillance data stream that cemented its utility during the COVID-19 pandemic. We present the R package ern that aims to perform the estimation of the effective reproduction number from real-world wastewater or aggregated clinical surveillance data in a user-friendly way.
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页数:22
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