Replication Data for: Using Hawkes Processes to model imported and local malaria cases in near-elimination settings
Replication Data for: Using Hawkes Processes to model imported and local malaria cases in near-elimination settings
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.
Unwin, Juliette
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Routledge, Isobel
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Flaxman, Seth
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Rizoiu, Marian-Andrei
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Lai, Shengjie
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Cohen, Justin
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Weiss, Daniel J.
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Mishra, Swapnil
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Bhatt, Samir
b29447e1-3caa-4c11-8e5c-5daa0011b9fa
Unwin, Juliette
baca52c9-1933-4cd1-a35c-e985f910031c
Routledge, Isobel
b4aa9e56-7ebe-4ca6-8112-567cf6bcd0ca
Flaxman, Seth
cc7c16fe-2d0e-4c03-877a-78b99562117c
Rizoiu, Marian-Andrei
590e71f3-6dc8-48ed-80dc-c204e18a7301
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Cohen, Justin
7de99049-a4c3-4fa1-8ff8-cc1bc5dcdfc9
Weiss, Daniel J.
a5b8e0dc-a451-496d-ad27-35944684cdcf
Mishra, Swapnil
46a21337-415e-415e-a572-82b633e9231a
Bhatt, Samir
b29447e1-3caa-4c11-8e5c-5daa0011b9fa
(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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More information
Published date: 2021
Identifiers
Local EPrints ID: 449093
URI: http://eprints.soton.ac.uk/id/eprint/449093
PURE UUID: 068a454c-8b10-4dc2-b214-e1a88c29bf60
Catalogue record
Date deposited: 17 May 2021 16:32
Last modified: 18 Jul 2023 01:52
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Contributors
Contributor:
Juliette Unwin
Contributor:
Isobel Routledge
Contributor:
Seth Flaxman
Contributor:
Marian-Andrei Rizoiu
Contributor:
Justin Cohen
Contributor:
Daniel J. Weiss
Contributor:
Swapnil Mishra
Contributor:
Samir Bhatt
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