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Update {epidict} info in README
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Co-authored-by: CarmenTamayo <lshct11@lshtm.ac.uk>
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joshwlambert and CarmenTamayo authored May 20, 2024
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Expand Up @@ -168,7 +168,7 @@ In some cases the packages are dedicated to simulating line list and other epide

- [`{LLsim}`](https://github.com/jrcpulliam/LLsim) simulates line list data using a stochastic SIR model with a fixed population with observation and reporting delays. Line list data is generated in two steps, 1) the SIR model simulates the outbreak (`simpleSim()`), 2) the outbreak data is converted into a line list (`createLineList()`).
- [`{simulacr}`](https://github.com/reconhub/simulacr) uses a branching process model to simulate cases and contacts for an outbreak. It simulates transmission of infections using other epidemiological R packages (`{epicontacts}` and `{distcrete}`) to parameterise and plot simulated data.
- [`{epidict}`](https://github.com/R4EPI/epidict) is a package for data dictionaries for outbreaks and surveys. It can generate line list data using an outbreak data dictionary (`gen_data()`). Currently MSF outbreak data dictionaries for Acute Jaundice Syndrome, Cholera, Measles and Meningitis are available.
- [`{epidict}`](https://github.com/R4EPI/epidict) is a package that can be used to simulate outbreak data, including linelists, in a DHIS2 format, and survey data that mimics the format by Kobo, using the function `gen_data()`. In addition, MSF outbreak data are available in this package as data dictionaries for Acute Jaundice Syndrome, Cholera, Measles and Meningitis, accessible through the function `msf_dict()`.
- [`{EpiNow}`](https://github.com/epiforecasts/EpiNow) - a now deprecated R package - includes the `simulate_cases()` and `generate_pseudo_linelist()` functions for generating line list data.
- [generative-nowcasting](https://github.com/adrian-lison/generative-nowcasting) is a set of R scripts and functions to perform epidemiological nowcasting. There are [functions to simulate line list data](https://github.com/adrian-lison/generative-nowcasting/blob/bf48e027e82ce9d42de468d0b708d010253b7475/code/utils/utils_simulate.R) within the repository, but the repository is not (and does not contain) an R package. Functions can be sourced. Cases are simulated with a renewal process and the simulation can incorporate epidemiological delays and ascertainment.

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