KENDRICK: A Domain Specific Language and platform for mathematical epidemiological modelling

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF) Pub Date : 2015-01-25 DOI:10.1109/RIVF.2015.7049888

Bui Thi My Anh, Serge Stinckwich, M. Ziane, B. Roche, Hô Tuòng Vinh

{"title":"KENDRICK: A Domain Specific Language and platform for mathematical epidemiological modelling","authors":"Bui Thi My Anh, Serge Stinckwich, M. Ziane, B. Roche, Hô Tuòng Vinh","doi":"10.1109/RIVF.2015.7049888","DOIUrl":null,"url":null,"abstract":"Mathematical modelling of infectious diseases often uses simulation models in order to explore transmission mechanisms and to plan potential management strategies to control the epidemics. However, bridging the gap between the conceptual model of epidemiology and its simulation on computer can lead to some issues related to the lack of expressiveness of implemented models and their reusability and adaptability to new circumstances due to detail computer instructions in General-purpose Programming Languages (GPLs). In this paper, we propose to develop a Domain Specific Language (DSL) for expressively specifying mathematical models of epidemiology and to construct a flexible simulation environment for investigating them. We then use our proposed approach to experiment the measles model in different epidemiological aspects. Our platform is also validated through statistical comparisons between time series generated and theoretical expectations, consequently keeping the link with literature on mathematical epidemiology.","PeriodicalId":166971,"journal":{"name":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIVF.2015.7049888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 12

Abstract

Mathematical modelling of infectious diseases often uses simulation models in order to explore transmission mechanisms and to plan potential management strategies to control the epidemics. However, bridging the gap between the conceptual model of epidemiology and its simulation on computer can lead to some issues related to the lack of expressiveness of implemented models and their reusability and adaptability to new circumstances due to detail computer instructions in General-purpose Programming Languages (GPLs). In this paper, we propose to develop a Domain Specific Language (DSL) for expressively specifying mathematical models of epidemiology and to construct a flexible simulation environment for investigating them. We then use our proposed approach to experiment the measles model in different epidemiological aspects. Our platform is also validated through statistical comparisons between time series generated and theoretical expectations, consequently keeping the link with literature on mathematical epidemiology.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

KENDRICK:用于数学流行病学建模的领域特定语言和平台

传染病的数学建模通常使用模拟模型，以探索传播机制和规划控制流行病的潜在管理战略。然而，弥合流行病学概念模型与计算机模拟之间的差距可能会导致一些与实现模型缺乏表达性以及由于通用编程语言(gpl)中详细的计算机指令而导致的可重用性和对新环境的适应性相关的问题。在本文中，我们建议开发一种领域特定语言(DSL)来表达指定流行病学的数学模型，并构建一个灵活的模拟环境来研究它们。然后，我们使用我们提出的方法在不同的流行病学方面对麻疹模型进行实验。我们的平台还通过生成的时间序列与理论预期之间的统计比较进行了验证，从而保持了与数学流行病学文献的联系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)

自引率

0.00%

发文量