FRED (a Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations.
FRED (a Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations.
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DOI：
10.1186/1471-2458-13-940
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发表时间：
2013-10-08
影响因子：
4.5
通讯作者：
Burke DS
中科院分区：
文献类型：
--
作者：
Grefenstette JJ;Brown ST;Rosenfeld R;DePasse J;Stone NT;Cooley PC;Wheaton WD;Fyshe A;Galloway DD;Sriram A;Guclu H;Abraham T;Burke DS
数学和计算模型提供了宝贵的工具，帮助公共卫生规划人员评估相互竞争的卫生干预措施，特别是对于无法通过观察性或对照研究（如大流行性流感）加以审查的新情况。流感等疾病的传播取决于人口内部的混合模式，而这些混合模式部分取决于当地因素，包括人口的空间分布和年龄结构、家庭规模和组成的分布、成年人的就业状况和通勤模式，以及学校的规模和年龄结构。最后，公共卫生规划者必须考虑到人口的健康行为模式，这种模式往往根据种族、家庭收入和教育水平等社会经济因素而变化。FRED（重建流行动力学框架）是一个免费的开源基于主体的建模系统，该系统密切基于先前发表的大流行性流感研究中使用的模型。这个版本的FRED使用开放获取的基于人口普查的合成人口，捕捉人口的人口统计学和地理异质性，包括现实的家庭、学校和工作场所的社会网络。FRED流行病模型目前可用于美国的每个州和县，以及选定的国际地点。州和县公共卫生规划者可以利用FRED来探索可能的流感流行在特定地理区域的影响，并帮助评估诸如疫苗接种计划和学校关闭政策等干预措施的效果。FRED是在免费开源许可下提供的，目的是为开发更好的建模工具作出贡献，并鼓励公开讨论用于评估公共卫生政策的建模工具。我们也欢迎其他研究人员参与FRED的进一步发展。
Mathematical and computational models provide valuable tools that help public health planners to evaluate competing health interventions, especially for novel circumstances that cannot be examined through observational or controlled studies, such as pandemic influenza. The spread of diseases like influenza depends on the mixing patterns within the population, and these mixing patterns depend in part on local factors including the spatial distribution and age structure of the population, the distribution of size and composition of households, employment status and commuting patterns of adults, and the size and age structure of schools. Finally, public health planners must take into account the health behavior patterns of the population, patterns that often vary according to socioeconomic factors such as race, household income, and education levels. FRED (a Framework for Reconstructing Epidemic Dynamics) is a freely available open-source agent-based modeling system based closely on models used in previously published studies of pandemic influenza. This version of FRED uses open-access census-based synthetic populations that capture the demographic and geographic heterogeneities of the population, including realistic household, school, and workplace social networks. FRED epidemic models are currently available for every state and county in the United States, and for selected international locations. State and county public health planners can use FRED to explore the effects of possible influenza epidemics in specific geographic regions of interest and to help evaluate the effect of interventions such as vaccination programs and school closure policies. FRED is available under a free open source license in order to contribute to the development of better modeling tools and to encourage open discussion of modeling tools being used to evaluate public health policies. We also welcome participation by other researchers in the further development of FRED.
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DOI：
10.1056/nejmoa0905498
发表时间：
2009-12-31
期刊：
The New England journal of medicine
影响因子：
--
作者：
Cauchemez S;Donnelly CA;Reed C;Ghani AC;Fraser C;Kent CK;Finelli L;Ferguson NM
通讯作者：
Ferguson NM
DOI：
10.1073/pnas.0706849105
发表时间：
2008-03-25
影响因子：
11.1
作者：
Halloran, M. Elizabeth;Ferguson, Neil M.;Cooley, Philip
通讯作者：
Cooley, Philip
影响因子：
3
作者：
Hladish T;Melamud E;Barrera LA;Galvani A;Meyers LA
通讯作者：
Meyers LA
影响因子：
4.3
作者：
Chao DL;Halloran ME;Obenchain VJ;Longini IM Jr
通讯作者：
Longini IM Jr
影响因子：
5.5
作者：
Lee BY;Brown ST;Cooley PC;Zimmerman RK;Wheaton WD;Zimmer SM;Grefenstette JJ;Assi TM;Furphy TJ;Wagener DK;Burke DS
通讯作者：
Burke DS