PANGAEA_890161 VECTRI simulations of malaria incidence in the highlands of Kenya, accounting for climate, model and initial condition uncertainty using a genetic algorithm framework Tompkins, Adrian Mark; Thomson, Madeleine C VECTRI simulations of malaria incidence in the highlands of Kenya, accounting for climate, model and initial condition uncertainty using a genetic algorithm framework 2018-05-23 PANGAEA Dataset Supplement to: Tompkins, Adrian Mark; Thomson, Madeleine C (2018): Uncertainty in malaria simulations in the highlands of Kenya: Relative contributions of model parameter setting, driving climate and initial condition errors. PLoS ONE, 13(9), e0200638, https://doi.org/10.1371/journal.pone.0200638 https://doi.pangaea.de/10.1594/PANGAEA.890161 Investigator Adrian Mark Tompkins tompkins@ictp.it Earth Science File content File name File format File size Uniform resource locator/link to file geoscientificInformation Kenya Complete 1.0 1.0 38.0 38.0 unrestricted CC-BY-3.0: Creative Commons Attribution 3.0 Unported English PANGAEA Data Publisher for Earth & Environmental Science https://www.pangaea.de/ Data Center Contact Michael Diepenbroek info@pangaea.de

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The output is simulated cases per 1000 population for a highland location in the Kenyan highlands. Each file represents a single ensemble member integration of the model in the final generation of the genetic algorithm calibration method outlined in the paper. The global meta data gives the set of parameters used to define this run, as well as the exact version of the model code used (ref. http://www.gitlab.com/tompkins/vectri). ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.890161"!

https://doi.org/10.1371/journal.pone.0200638 Uncertainty in malaria simulations in the highlands of Kenya: Relative contributions of model parameter setting, driving climate and initial condition errors DIF 9.4 2018-05-23 2026-04-30