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  "Title": "Implement the AMIS Algorithm for Infectious Disease Models",
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  "Description": "Implements the Adaptive Multiple Importance Sampling\n(AMIS) algorithm, as described by Retkute et al. (2021,\n<doi:10.1214/21-AOAS1486>), to estimate key epidemiological\nparameters by combining outputs from a geostatistical model of\ninfectious diseases (such as prevalence, incidence, or relative\nrisk) with a disease transmission model. Utilising the\nresulting posterior distributions, the package enables forward\nprojections at the local level.",
  "Acknowledgements": "This work was supported by the NTD Modelling\nConsortium grant INV-030046, funded by the Bill & Melinda Gates\nFoundation.",
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  "Author": "Evandro Konzen [aut] (<https://orcid.org/0000-0002-6275-1681>),\nRenata Retkute [aut] (<https://orcid.org/0000-0002-3877-6440>),\nRaiha Browning [aut] (<https://orcid.org/0000-0002-6175-2244>),\nThilbault Lestang [aut], Simon Spencer [aut, cre]\n(<https://orcid.org/0000-0002-8375-5542>), University of\nWarwick [cph], Oxford Research Software Engineering [cph]",
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      "title": "Run the AMIS algorithm to fit a transmission model to a map",
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