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.
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. test HS