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seabbs/README.md

Hi there 👋

I'm an infectious disease researcher interested in real-time analysis, forecasting, semi-mechanistic modelling, and open source tool development. More on my research interests here.
NOW
BIO
  • 🏢 I'm currently working at London School of Hygiene and Tropical Medicine
  • 📜 I did my PhD at the University of Bristol
  • ⚙️ I use daily: R, stan
  • 🏗️ I like to perform analysis using novel models on interesting data and generalise those approaches into software 📦s
  • 🌍 I'm mostly active within the R Community
  • 🌱 (Very slowly) Learning all about Julia and Turing.jl
  • 📘 Reading: Modeling Discrete Time-to-Event Data
  • 💬 Ping me about statistical modelling of infectious diseases, real-time analysis of infectious diseases, estimating transmission dynamics in real-time, and team science opportunities
  • 📫 Reach me: sam.abbott@lshtm.ac.uk

Pinned

  1. thesis Public

    PhD thesis submitted to the University of Bristol. Title: Modelling BCG vaccination in the UK: What is the impact of changing policy?

    C++ 9 2

  2. Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

    HTML 84 23

  3. Population-level infectious disease modelling as an extension of brms.

    R 2 2

  4. An interface to subnational and national level COVID-19 data. For all countries supported, this includes a daily time-series of cases. Wherever available we also provide data on deaths, hospitalisa…

    R 36 18

  5. Contains models and tools to produce short-term forecasts for both case and sequence notifications assuming circulation of either one or two variants. Tools are also provided to allow the evaluatio…

    R 4 2

  6. Flexible hierarchical nowcasting

    R 26 11

3,824 contributions in the last year

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Contribution activity

December 1, 2022

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