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Session 3 of the RSS Special Topic Meeting on Covid‐19 Transmission: Replies to the discussion

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  • Maria Bekker‐Nielsen Dunbar
  • Felix Hofmann
  • Leonhard Held

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  • Maria Bekker‐Nielsen Dunbar & Felix Hofmann & Leonhard Held, 2022. "Session 3 of the RSS Special Topic Meeting on Covid‐19 Transmission: Replies to the discussion," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S1), pages 158-164, November.
    • Handle: RePEc:bla:jorssa:v:185:y:2022:i:s1:p:s158-s164
    DOI: 10.1111/rssa.12985
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    References listed on IDEAS

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    1. Dennis M. Feehan & Ayesha S. Mahmud, 2021. "Quantifying population contact patterns in the United States during the COVID-19 pandemic," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    2. Leonhard Knorr‐Held & Sylvia Richardson, 2003. "A hierarchical model for space–time surveillance data on meningococcal disease incidence," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(2), pages 169-183, May.
    3. Michael Höhle & Matthias an der Heiden, 2014. "Bayesian nowcasting during the STEC O104:H4 outbreak in Germany, 2011," Biometrics, The International Biometric Society, vol. 70(4), pages 993-1002, December.
    4. Olivera Stojanović & Johannes Leugering & Gordon Pipa & Stéphane Ghozzi & Alexander Ullrich, 2019. "A Bayesian Monte Carlo approach for predicting the spread of infectious diseases," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-20, December.
    5. Chris Chambers, 2019. "What’s next for Registered Reports?," Nature, Nature, vol. 573(7773), pages 187-189, September.
    6. Bracher, Johannes & Held, Leonhard, 2022. "Endemic-epidemic models with discrete-time serial interval distributions for infectious disease prediction," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1221-1233.
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