Efficient real-time monitoring of an emerging influenza pandemic: How feasible?-Reference-Cited by-同舟云学术

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Efficient real-time monitoring of an emerging influenza pandemic: How feasible?

Published:2020-03-01 Issue:1 Volume:14 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Birrell Paul J.,Wernisch Lorenz,Tom Brian D. M.,Held Leonhard,Roberts Gareth O.,Pebody Richard G.,De Angelis Daniela

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://projecteuclid.org/download/pdfview_1/euclid.aoas/1587002665

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accelerating Bayesian inference for stochastic epidemic models using incidence data;Statistics and Computing;2023-10-12

2. Sanmitra Ghosh's contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’;Journal of the Royal Statistical Society Series A: Statistics in Society;2023-10

3. A sequential Monte Carlo approach to estimate a time-varying reproduction number in infectious disease models: the Covid-19 case;Journal of the Royal Statistical Society Series A: Statistics in Society;2023-04-27

4. Paul J Birrell, Angelos Alexopoulos and Daniela De Angelis's contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’;Journal of the Royal Statistical Society Series A: Statistics in Society;2023-04-20

5. Efficient empirical likelihood inference for recovery rate of COVID19 under double-censoring;Journal of Statistical Planning and Inference;2022-12

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