Academic Journal
Interoperability of statistical models in pandemic preparedness: principles and reality
| العنوان: | Interoperability of statistical models in pandemic preparedness: principles and reality |
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| المؤلفون: | Nicholson, George, Blangiardo, Marta, Briers, Mark, Diggle, Peter J, Fjelde, Tor Erlend, Ge, Hong, Goudie, Robert JB, Jersakova, Radka, King, Ruairidh E, Lehmann, Brieuc CL, Mallon, Ann-Marie, Padellini, Tullia, Teh, Yee Whye, Holmes, Chris, Richardson, Sylvia |
| بيانات النشر: | Institute of Mathematical Statistics Mrc Biostatistics Unit //doi.org/10.1214/22-sts854 Statistical Science |
| سنة النشر: | 2022 |
| المجموعة: | Apollo - University of Cambridge Repository |
| مصطلحات موضوعية: | stat.ME, stat.AP, 62P10 |
| الوصف: | We present "interoperability" as a guiding framework for statistical modelling to assist policy makers asking multiple questions using diverse datasets in the face of an evolving pandemic response. Interoperability provides an important set of principles for future pandemic preparedness, through the joint design and deployment of adaptable systems of statistical models for disease surveillance using probabilistic reasoning. We illustrate this through case studies for inferring spatial-temporal coronavirus disease 2019 (COVID-19) prevalence and reproduction numbers in England. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf; video/mp4 |
| اللغة: | English |
| Relation: | https://www.repository.cam.ac.uk/handle/1810/335891 |
| DOI: | 10.17863/CAM.83325 |
| الاتاحة: | https://www.repository.cam.ac.uk/handle/1810/335891 https://doi.org/10.17863/CAM.83325 |
| Rights: | Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: | edsbas.391E9EC |
| قاعدة البيانات: | BASE |
| DOI: | 10.17863/CAM.83325 |
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