{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T18:09:10Z","timestamp":1789063750858,"version":"build-2803163510"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1013687","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T00:00:00Z","timestamp":1788998400000}}],"reference-count":15,"publisher":"Public Library of Science (PLoS)","issue":"9","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["226727_Z_22_Z"],"award-info":[{"award-number":["226727_Z_22_Z"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","award":["MR\/X020258\/1"],"award-info":[{"award-number":["MR\/X020258\/1"]}],"id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>\n                    Process-based malaria transmission models are important tools for evaluating intervention strategies, quantifying uncertainty, and informing malaria control policy. Individual-based models such as\n                    <jats:italic>malariasimulation<\/jats:italic>\n                    are computationally demanding, which limits their practicality for applications that require large numbers of simulation runs. In this paper we present\n                    <jats:italic>malariasimple<\/jats:italic>\n                    , a simplified, compartmental model implemented as an R package which approximates the epidemiological structure and parameter definitions of\n                    <jats:italic>malariasimulation<\/jats:italic>\n                    while operating at a fraction of the computational cost. Across a range of transmission intensities and intervention scenarios,\n                    <jats:italic>malariasimple<\/jats:italic>\n                    closely reproduces key outputs of\n                    <jats:italic>malariasimulation<\/jats:italic>\n                    while reducing runtimes by up to 99.6%. Its computational efficiency enables full Bayesian parameter inference, allowing estimation of complete posterior distributions.\n                    <jats:italic>malariasimple<\/jats:italic>\n                    provides a fast, flexible, and mechanistically consistent addition to the Imperial College London Malaria Model framework, bridging the gap between computational efficiency and epidemiological realism. The\n                    <jats:italic>malariasimple<\/jats:italic>\n                    R package is freely available for download at\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/github.com\/mrc-ide\/malariasimple\" xlink:type=\"simple\">https:\/\/github.com\/mrc-ide\/malariasimple<\/jats:ext-link>\n                    .\n                  <\/jats:p>","DOI":"10.1371\/journal.pcbi.1013687","type":"journal-article","created":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T17:46:56Z","timestamp":1788284816000},"page":"e1013687","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["malariasimple: An R package for fast simulations of malaria transmission"],"prefix":"10.1371","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8734-0141","authenticated-orcid":true,"given":"Debbie","family":"Shackleton","sequence":"first","affiliation":[{"name":"MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London","place":["London, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neil","family":"Ferguson","sequence":"additional","affiliation":[{"name":"MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London","place":["London, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucy","family":"Okell","sequence":"additional","affiliation":[{"name":"MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London","place":["London, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tom","family":"Churcher","sequence":"additional","affiliation":[{"name":"MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London","place":["London, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pete","family":"Winskill","sequence":"additional","affiliation":[{"name":"MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London","place":["London, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,9,1]]},"reference":[{"key":"pcbi.1013687.ref001","doi-asserted-by":"crossref","DOI":"10.30875\/9789287076717","volume-title":"World Malaria Report 2024: Addressing Inequity in the Global Malaria Response","author":"World Health Organisation","year":"2024"},{"issue":"8","key":"pcbi.1013687.ref002","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1000324","article-title":"Reducing Plasmodium falciparum malaria transmission in Africa: a model-based evaluation of intervention strategies","volume":"7","author":"JT Griffin","year":"2010","journal-title":"PLoS Med"},{"issue":"10","key":"pcbi.1013687.ref003","doi-asserted-by":"crossref","DOI":"10.18637\/jss.v109.i10","article-title":"Emulation and history matching using the hmer package","volume":"109","author":"A Iskauskas","year":"2024","journal-title":"J Stat Softw"},{"issue":"12","key":"pcbi.1013687.ref004","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1013849","article-title":"Gaussian process emulation for exploring complex infectious disease models","volume":"21","author":"AM Langm\u00fcller","year":"2025","journal-title":"PLoS Comput Biol"},{"issue":"10","key":"pcbi.1013687.ref005","article-title":"Efficient Bayesian inference for stochastic agent-based models","volume":"18","author":"ACS J\u00f8rgensen","year":"2022","journal-title":"PLoS Comput Biol"},{"key":"pcbi.1013687.ref006","doi-asserted-by":"crossref","unstructured":"Hazelbagid C, Dushoffid J, Dominicid EM, Mthombothi ZE, Delvaid W. 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