Suppr超能文献

EpiFire:一个用于接触网络流行病学的开源 C++ 库和应用程序。

EpiFire: An open source C++ library and application for contact network epidemiology.

机构信息

Section of Integrative Biology, University of Texas at Austin, 78712, USA.

出版信息

BMC Bioinformatics. 2012 May 4;13:76. doi: 10.1186/1471-2105-13-76.

Abstract

BACKGROUND

Contact network models have become increasingly common in epidemiology, but we lack a flexible programming framework for the generation and analysis of epidemiological contact networks and for the simulation of disease transmission through such networks.

RESULTS

Here we present EpiFire, an applications programming interface and graphical user interface implemented in C++, which includes a fast and efficient library for generating, analyzing and manipulating networks. Network-based percolation and chain-binomial simulations of susceptible-infected-recovered disease transmission, as well as traditional non-network mass-action simulations, can be performed using EpiFire.

CONCLUSIONS

EpiFire provides an open-source programming interface for the rapid development of network models with a focus in contact network epidemiology. EpiFire also provides a point-and-click interface for generating networks, conducting epidemic simulations, and creating figures. This interface is particularly useful as a pedagogical tool.

摘要

背景

接触网络模型在流行病学中越来越常见,但我们缺乏一个灵活的编程框架,用于生成和分析流行病学接触网络,以及通过这些网络模拟疾病传播。

结果

在这里,我们展示了 EpiFire,这是一个用 C++实现的应用程序编程接口和图形用户界面,它包括一个快速有效的库,用于生成、分析和操作网络。可以使用 EpiFire 进行基于网络的渗透和二项式连锁的易感-感染-恢复疾病传播模拟,以及传统的非网络的大量行动模拟。

结论

EpiFire 为网络模型的快速开发提供了一个开源编程接口,重点是接触网络流行病学。EpiFire 还为生成网络、进行流行病模拟和创建图形提供了一个点击式界面。该界面特别可用作教学工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/314d/3496579/b0c8d11d9090/1471-2105-13-76-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验