This website gathers author-created supplementary material for the
Handbook of Infectious Disease Data Analysis (Chapman & Hall/CRC, 2019).
Part III: Analysis of Outbreak Data
Iterated Filtering Methods for Markov Process Epidemic Models
by Theresa Stocks
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Preprint: https://arxiv.org/abs/1712.03058
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Replication code: https://github.com/theresasophia/chapter_IFmethods
Part IV: Analysis of Seroprevalence Data
Persistence of Passive Immunity, Natural Immunity (and Vaccination)
by Amy K Winter and C. Jessica E. Metcalf
- Replication code: https://github.com/HIDDA/persistence
Inferring the Time of Infection from Serological Data
by Maciej F. Boni, Kare Mølbak, and Karen A. Krogfelt
- Replication code: https://github.com/maciekboni/2019-HIDDA-Time-Of-Infection
Mixture Modeling
by Emanuele Del Fava and Ziv Shkedy
- Replication code: https://github.com/emanudelfava/sero-bayes-mixture
Part V: Analysis of Surveillance Data
Prospective Detection of Outbreaks
by Benjamin Allévius and Michael Höhle
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Preprint: https://arxiv.org/abs/1711.08960
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Replication code: https://github.com/BenjaK/ProspectiveDetectionChapter
Spatio-Temporal Analysis of Surveillance Data
by Jon Wakefield, Tracy Qi Dong, and Vladimir N. Minin
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Preprint: https://arxiv.org/abs/1711.00555
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Replication code & supplements: https://arxiv.org/src/1711.00555v1/anc
Forecasting Based on Surveillance Data
by Leonhard Held and Sebastian Meyer
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Preprint: https://arxiv.org/abs/1809.03735
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R package HIDDA.forecasting: https://HIDDA.github.io/forecasting