Epidemic curves made easy using the R package incidence.
Epidemic curves made easy using the R package incidence.
复制标题
DOI：
10.12688/f1000research.18002.1
复制
发表时间：
2019-01-01
期刊：
影响因子：
--
通讯作者：
Jombart, Thibaut
中科院分区：
文献类型：
--
作者：
Kamvar, Zhian N;Cai, Jun;Jombart, Thibaut
流行病学曲线（epicurve）是现场流行病学家、建模者和决策者用于评估传染病流行动态的最简单但最有用的工具之一。在这里，我们为R编程语言提供了免费的开源包发病率，它允许用户轻松地计算，处理和可视化来自未聚合的线性数据的epicurves。该软件包是根据R Epidemics Consortium（RECON）的开发指南构建的，旨在通过广泛的自动化测试，文档和良好的编码实践来确保健壮性和可靠性。因此，它填补了使用R软件进行疫情分析的工具箱中的一个重要空白，并为传染病建模的进一步发展提供了坚实的基础。发病率可从https://www.repidemicsconsortium.org/incidence获得。
The epidemiological curve (epicurve) is one of the simplest yet most useful tools used by field epidemiologists, modellers, and decision makers for assessing the dynamics of infectious disease epidemics. Here, we present the free, open-source package incidence for the R programming language, which allows users to easily compute, handle, and visualise epicurves from unaggregated linelist data. This package was built in accordance with the development guidelines of the R Epidemics Consortium (RECON), which aim to ensure robustness and reliability through extensive automated testing, documentation, and good coding practices. As such, it fills an important gap in the toolbox for outbreak analytics using the R software, and provides a solid building block for further developments in infectious disease modelling. incidence is available from https://www.repidemicsconsortium.org/incidence.