This package – ramp.library – contains reusable code that has been rigorously tested and that implements a large number of dynamical model families and other algorithms taken from the literature describing malaria and other mosquito-transmitted pathogens (see Reiner, et al. 2013)1. The supporting code was designed to be modular, and plug-and-play. The modular design makes it possible to break down published models to serve as the dynamical components in new models for malaria. The model families in ramp.library supports nimble model building that can be used by:
ramp.xds implements a modular, flexible, and extensible framework for building dynamical systems models for malaria and other mosquito-transmitted pathogens. The mathematics for ramp.xds was explained in Spatial Dynamics of Malaria Transmission 2
Reiner RC Jr, Perkins TA, Barker CM, Niu T, Chaves LF, Ellis AM, et al. A systematic review of mathematical models of mosquito-borne pathogen transmission: 1970-2010. J R Soc Interface. 2013;10: 20120921.↩︎
Wu SL, Henry JM, Citron DT, Mbabazi Ssebuliba D, Nakakawa Nsumba J, Sánchez C. HM, et al. (2023) Spatial dynamics of malaria transmission. PLoS Comput Biol 19(6): e1010684. https://doi.org/10.1371/journal.pcbi.1010684↩︎