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Statistical methods for the prospective detection of infectious disease outbreaks: a review

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  • Steffen Unkel
  • C. Paddy Farrington
  • Paul H. Garthwaite
  • Chris Robertson
  • Nick Andrews

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Suggested Citation

  • Steffen Unkel & C. Paddy Farrington & Paul H. Garthwaite & Chris Robertson & Nick Andrews, 2012. "Statistical methods for the prospective detection of infectious disease outbreaks: a review," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(1), pages 49-82, January.
    • Handle: RePEc:bla:jorssa:v:175:y:2012:i:1:p:49-82
    DOI: j.1467-985X.2011.00714.x
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    Cited by:

    1. Guojian Ma & Juan Ding & Youqing Lv, 2022. "SEIR Evolutionary Game Model Applied to the Evolution and Control of the Medical Waste Disposal Crisis in China during the COVID-19 Outbreak," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    2. Doyo G Enki & Paul H Garthwaite & C Paddy Farrington & Angela Noufaily & Nick J Andrews & Andre Charlett, 2016. "Comparison of Statistical Algorithms for the Detection of Infectious Disease Outbreaks in Large Multiple Surveillance Systems," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-25, August.
    3. Logan C Brooks & David C Farrow & Sangwon Hyun & Ryan J Tibshirani & Roni Rosenfeld, 2018. "Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions," PLOS Computational Biology, Public Library of Science, vol. 14(6), pages 1-29, June.
    4. Mikkel Bennedsen, 2021. "Designing a statistical procedure for monitoring global carbon dioxide emissions," Climatic Change, Springer, vol. 166(3), pages 1-19, June.
    5. Theologos Dergiades & Costas Milas & Elias Mossialos & Theodore Panagiotidis, 2021. "Effectiveness of Government Policies in Response to the COVID-19 Outbreak," Discussion Paper Series 2021_05, Department of Economics, University of Macedonia, revised Feb 2021.
    6. Marianne Frisén, 2014. "Spatial outbreak detection based on inference principles for multivariate surveillance," IISE Transactions, Taylor & Francis Journals, vol. 46(8), pages 759-769, August.
    7. Igor Kotenko & Igor Saenko & Oleg Lauta & Aleksander Kribel, 2020. "An Approach to Detecting Cyber Attacks against Smart Power Grids Based on the Analysis of Network Traffic Self-Similarity," Energies, MDPI, vol. 13(19), pages 1-24, September.
    8. Thais Paiva & Renato Assunção & Taynãna Simões, 2015. "Prospective space–time surveillance with cumulative surfaces for geographical identification of the emerging cluster," Computational Statistics, Springer, vol. 30(2), pages 419-440, June.
    9. Ibrahim Musa & Hyun Woo Park & Lkhagvadorj Munkhdalai & Keun Ho Ryu, 2018. "Global Research on Syndromic Surveillance from 1993 to 2017: Bibliometric Analysis and Visualization," Sustainability, MDPI, vol. 10(10), pages 1-20, September.
    10. Saierdaer Aikebaier & Yinghua Song & Moxiao Li & Jiexin Liu, 2022. "Exploring the Impact and Prevention of Epidemics from a New Perspective: COVID-19 Transmission through Express Boxes," IJERPH, MDPI, vol. 19(24), pages 1-14, December.
    11. Colette Mair & Sema Nickbakhsh & Richard Reeve & Jim McMenamin & Arlene Reynolds & Rory N Gunson & Pablo R Murcia & Louise Matthews, 2019. "Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models," PLOS Computational Biology, Public Library of Science, vol. 15(12), pages 1-21, December.
    12. Salmon, Maëlle & Schumacher, Dirk & Höhle, Michael, 2016. "Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 70(i10).
    13. Maeno, Yoshiharu, 2016. "Detecting a trend change in cross-border epidemic transmission," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 73-81.
    14. Zhang, Ping & Wang, Jianwen & Atkinson, Peter M., 2019. "Identifying the spatio-temporal risk variability of avian influenza A H7N9 in China," Ecological Modelling, Elsevier, vol. 414(C).
    15. Bagarello, F. & Gargano, F. & Roccati, F., 2020. "Modeling epidemics through ladder operators," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    16. Yeong-Jun Song & Hae-Kwan Cheong & Myung Ki & Ji-Yeon Shin & Seung-sik Hwang & Mira Park & Moran Ki & Jiseun Lim, 2018. "The Epidemiological Influence of Climatic Factors on Shigellosis Incidence Rates in Korea," IJERPH, MDPI, vol. 15(10), pages 1-9, October.
    17. Alex Spanos & George Theocharis & Drosos E Karageorgopoulos & George Peppas & Dimitris Fouskakis & Matthew E Falagas, 2012. "Surveillance of Community Outbreaks of Respiratory Tract Infections Based on House-Call Visits in the Metropolitan Area of Athens, Greece," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-6, August.
    18. Xunjie Cheng & Tao Chen & Yang Yang & Jing Yang & Dayan Wang & Guoqing Hu & Yuelong Shu, 2018. "Using an innovative method to develop the threshold of seasonal influenza epidemic in China," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-13, August.
    19. Chengcheng Bei & Shiping Liu & Yin Liao & Gaoliang Tian & Zichen Tian, 2021. "Predicting new cases of COVID‐19 and the application to population sustainability analysis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4859-4884, September.
    20. Santitissadeekorn, Naratip & Lloyd, David J.B. & Short, Martin B. & Delahaies, Sylvain, 2020. "Approximate filtering of conditional intensity process for Poisson count data: Application to urban crime," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
    21. Christin Schröder & Luis Alberto Peña Diaz & Anna Maria Rohde & Brar Piening & Seven Johannes Sam Aghdassi & Georg Pilarski & Norbert Thoma & Petra Gastmeier & Rasmus Leistner & Michael Behnke, 2020. "Lean back and wait for the alarm? Testing an automated alarm system for nosocomial outbreaks to provide support for infection control professionals," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-15, January.
    22. Ropo E. Ogunsakin & Oluwakemi Ebenezer & Themba G. Ginindza, 2022. "A Bibliometric Analysis of the Literature on Norovirus Disease from 1991–2021," IJERPH, MDPI, vol. 19(5), pages 1-27, February.
    23. Konstantinos Angelopoulos & Spyridon Lazarakis & Rebecca Mancy & Max Schroeder, 2021. "Pandemic-Induced Wealth and Health Inequality and Risk Exposure," CESifo Working Paper Series 9474, CESifo.

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