An infectious way to teach students about outbreaks.
An infectious way to teach students about outbreaks.
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DOI：
10.1016/j.epidem.2017.12.002
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发表时间：
2018-06
期刊：
影响因子：
3.8
通讯作者：
Fisher MC
中科院分区：
文献类型：
--
作者：
Cremin Í;Watson O;Heffernan A;Imai N;Ahmed N;Bivegete S;Kimani T;Kyriacou D;Mahadevan P;Mustafa R;Pagoni P;Sophiea M;Whittaker C;Beacroft L;Riley S;Fisher MC
开发了更新的流行病学教学练习。学生参与了一场爆发，并随后进行了分析。提供了连续五年学生群体的数据。开发了 R 包和实用程序来改善教学体验。培训当今的流行病学家需要对传染病爆发进行研究。介绍和解释关键流行病学概念的典型方法是通过对历史疫情的分析。然而，很少有训练选项明确利用实时模拟随机爆发，其中参与者本身包含他们随后分析的数据集。在本文中，我们提出了一项教学练习，其中模拟了为期五天的传染病爆发并随后进行了分析。我们迭代开发了教学练习，为分析疫情提供更多见解。开发了用于疫情数据可视化、分析和模拟的 R 包，以配合实践以强化学习成果。对疫情爆发的计算机模拟揭示了与观察到的动态的偏差，突显了数学模型中传统的简化假设通常与现实存在差异。在这里，我们提供了一个教学工具，供其他人在自己的环境中使用和适应。
An updated epidemiological teaching exercise was developed. Students participate in an outbreak that they subsequently analyse. Data from five years of consecutive student cohorts is presented. An R package and practical are developed that improve the pedagogical experience. The study of infectious disease outbreaks is required to train today’s epidemiologists. A typical way to introduce and explain key epidemiological concepts is through the analysis of a historical outbreak. There are, however, few training options that explicitly utilise real-time simulated stochastic outbreaks where the participants themselves comprise the dataset they subsequently analyse. In this paper, we present a teaching exercise in which an infectious disease outbreak is simulated over a five-day period and subsequently analysed. We iteratively developed the teaching exercise to offer additional insight into analysing an outbreak. An R package for visualisation, analysis and simulation of the outbreak data was developed to accompany the practical to reinforce learning outcomes. Computer simulations of the outbreak revealed deviations from observed dynamics, highlighting how simplifying assumptions conventionally made in mathematical models often differ from reality. Here we provide a pedagogical tool for others to use and adapt in their own settings.
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影响因子：
56.3
作者：
Cauchemez, Simon;Fraser, Christophe;Van Kerkhove, Maria D.;Donnelly, Christi A.;Riley, Steven;Rambaut, Andrew;Enouf, Vincent;van der Werf, Sylvie;Ferguson, Neil M.
通讯作者：
Ferguson, Neil M.
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：
10.1056/nejmoa1411100
发表时间：
2014-10-16
期刊：
The New England journal of medicine
影响因子：
--
作者：
WHO Ebola Response Team;Aylward B;Barboza P;Bawo L;Bertherat E;Bilivogui P;Blake I;Brennan R;Briand S;Chakauya JM;Chitala K;Conteh RM;Cori A;Croisier A;Dangou JM;Diallo B;Donnelly CA;Dye C;Eckmanns T;Ferguson NM;Formenty P;Fuhrer C;Fukuda K;Garske T;Gasasira A;Gbanyan S;Graaff P;Heleze E;Jambai A;Jombart T;Kasolo F;Kadiobo AM;Keita S;Kertesz D;Koné M;Lane C;Markoff J;Massaquoi M;Mills H;Mulba JM;Musa E;Myhre J;Nasidi A;Nilles E;Nouvellet P;Nshimirimana D;Nuttall I;Nyenswah T;Olu O;Pendergast S;Perea W;Polonsky J;Riley S;Ronveaux O;Sakoba K;Santhana Gopala Krishnan R;Senga M;Shuaib F;Van Kerkhove MD;Vaz R;Wijekoon Kannangarage N;Yoti Z
通讯作者：
Yoti Z
DOI：
10.1073/pnas.1519235113
发表时间：
2016-08-09
影响因子：
11.1
作者：
Cauchemez, Simon;Nouvellet, Pierre;Ferguson, Neil M.
通讯作者：
Ferguson, Neil M.
影响因子：
9.8
作者：
Bellan, Steve E.;Pulliam, Juliet R. C.;Dushoff, Jonathan
通讯作者：
Dushoff, Jonathan