Replication Data for: Using Hawkes Processes to model imported and local malaria cases in near-elimination settings

(2021) Replication Data for: Using Hawkes Processes to model imported and local malaria cases in near-elimination settings. Harvard Dataverse doi:10.7910/dvn/yprlil [Dataset]

Abstract

This data set includes fits and simulations to recreate the figures in the paper "Using Hawkes Processes to model imported and local malaria cases in near-elimination settings". The two original data sources have been published previously: China - Routledge I, Lai S, Battle KE, Ghani AC, Gomez-Rodriguez M, Gustafson KB, et al. Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach. PLOS Computational Biology. 2020;16(3):1–20. doi:10.1371/journal.pcbi.1007707. Eswatini - Reiner Jr RC, Menach AL, Kunene S, Ntshalintshali N, Hsiang MS, Perkins TA, et al. Mapping residual transmission for malaria elimination. elife. 2015; doi:10.7554/eLife.09520. Simulated data: The 10,000 simulations used for Fig 2 are the Eswatini simulations and we include the fits to our partial simulations used in Fig 3. Case studies: For our two case studies we include our Hawkes model fits (Fig 4) with an exponential and a Rayleigh kernel and our growth model fits. We also include our 10,000 simulations of each dataset used in Figs 5 and 6.

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Contributors

Contributor: Shengjie Lai

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