https://github.com/mrc-ide/ivrmectin

Malaria modelling framework to assess the impact of endectocide interventions
https://github.com/mrc-ide/ivrmectin

Last synced: about 2 months ago
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Malaria modelling framework to assess the impact of endectocide interventions

• Host: GitHub
• URL: https://github.com/mrc-ide/ivrmectin
• Owner: mrc-ide
• Created: 2020-07-29T21:12:26.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-05-20T09:19:57.000Z (8 months ago)
• Last Synced: 2024-05-20T10:36:26.069Z (8 months ago)
• Language: C
• Size: 127 MB
• Stars: 1
• Watchers: 4
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.Rmd

Awesome Lists containing this project

README

        
---

output: 

  rmarkdown::github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# ivRmectin 

[![Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.](https://www.repostatus.org/badges/latest/wip.svg)](https://www.repostatus.org/#wip)

*ivRmectin* enables users to simulate models of malaria transmission with an explicit focus on exploring the impact of different endectocide-based interventions such as ivermectin. This builds on previous work by Joel Hellewell, OJ Watson, Hannah Slater, Juliette Unwin, Rich Fitzjohn and Hannah Slater who developed a deterministic version of the Imperial College Malaria Model (for more information about the original model which is stochastic and individual based, see *Griffin et al., 2010 PLOS Medicine*: https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1000324). 

Subsequent work led by Hannah Slater and the rest of the team extended this model to model the impact of endectocides such as ivermectin on malaria epidemiology in endemic settings. This model has been previously published and more

information can be found in *Slater et al., 2014, Journal of Infectious Diseases* (https://academic.oup.com/jid/article/210/12/1972/2908666) and *Slater et al., 2020, Lancet Infectious Diseases* (https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(19)30633-4/fulltext). It is this model that *ivRmectin* contains, and allows users to run. 

## IMPORTANT NOTES

:warning: This code is released with no support and currently is neither finished or complete. It is **NOT** ready for users outside Imperial College to run models. If you are interested in using this code, you **MUST** contact one of the package authors first to discuss requirements. 

:warning: This model is in active development and so parameter names and behaviours, as well as output file formats, will change without notice.

# Copyright and Licensing

The source code is derived from previous work developing a deterministic version of the Imperial College malaria model. Copyright for this work lies with Joel Hellewell, Hannah Slater and OJ Watson. The lead developers on this project are Joel Hellewell, Hannah Slater, OJ Watson, Juliette Unwin, Ellie Sherrard Smith and Rich Fitzjohn. Additional code and elaborations to the model contained in this repo are from Hannah Slater and Charlie Whittaker and Copyright for these elaborations lies with them. For all this code, the default copyright license applies, meaning that **no one may reproduce, distribute or create derivative works from this work.**