{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T08:29:53Z","timestamp":1793608193720,"version":"4.5.0"},"reference-count":27,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T00:00:00Z","timestamp":1774828800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100009614","name":"Petroleum Technology Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100009614","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Foundation for Science and Technology","doi-asserted-by":"publisher","award":["UIDB\/00297\/2020"],"award-info":[{"award-number":["UIDB\/00297\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Epidemics"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.epidem.2026.100911","type":"journal-article","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T15:31:05Z","timestamp":1776871865000},"page":"100911","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["On the simultaneous inference of susceptibility distributions and intervention effects from epidemic curves"],"prefix":"10.1016","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-8061-1534","authenticated-orcid":false,"given":"Ibrahim","family":"Mohammed","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chris","family":"Robertson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1454-4979","authenticated-orcid":false,"given":"M. Gabriela M.","family":"Gomes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.epidem.2026.100911_b1","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0001767","article-title":"Prospects for malaria eradication in Sub-Saharan Africa","volume":"3","author":"Aguas","year":"2008","journal-title":"PLoS One"},{"key":"10.1016\/j.epidem.2026.100911_b2","doi-asserted-by":"crossref","DOI":"10.1016\/j.jtbi.2025.112213","article-title":"A note on metapopulation models","volume":"613","author":"Ayabina","year":"2025","journal-title":"J. Theoret. Biol."},{"issue":"1","key":"10.1016\/j.epidem.2026.100911_b3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2307\/1427049","article-title":"Deterministic and stochastic epidemics with several kinds of susceptibles","volume":"17","author":"Ball","year":"1985","journal-title":"Adv. in Appl. Probab."},{"key":"10.1016\/j.epidem.2026.100911_b4","series-title":"Epidemics: Models and Data using R","first-page":"137","article-title":"Trajectory matching","author":"Bj\u00f8rnstad","year":"2018"},{"issue":"6505","key":"10.1016\/j.epidem.2026.100911_b5","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1126\/science.abc6810","article-title":"A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2","volume":"369","author":"Britton","year":"2020","journal-title":"Science"},{"key":"10.1016\/j.epidem.2026.100911_b6","series-title":"Mathematical Tools for Understanding Infectious Diseases","author":"Diekmann","year":"2013"},{"issue":"4","key":"10.1016\/j.epidem.2026.100911_b7","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1007\/BF00178324","article-title":"On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations","volume":"28","author":"Diekmann","year":"1990","journal-title":"J. Math. Biol."},{"key":"10.1016\/j.epidem.2026.100911_b8","doi-asserted-by":"crossref","first-page":"557","DOI":"10.2307\/2528318","article-title":"The mathematical analysis of an epidemic with two kinds of susceptibles","author":"Gart","year":"1968","journal-title":"Biometrics"},{"key":"10.1016\/j.epidem.2026.100911_b9","doi-asserted-by":"crossref","first-page":"921","DOI":"10.2307\/2528629","article-title":"The statistical analysis of chain-binomial epidemic models with several kinds of susceptibles","author":"Gart","year":"1972","journal-title":"Biometrics"},{"key":"10.1016\/j.epidem.2026.100911_b10","doi-asserted-by":"crossref","DOI":"10.1016\/j.jtbi.2022.111063","article-title":"Individual variation in susceptibility or exposure to SARS-CoV-2 lowers the herd immunity threshold","volume":"540","author":"Gomes","year":"2022","journal-title":"J. Theoret. Biol."},{"key":"10.1016\/j.epidem.2026.100911_b11","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1093\/jrsssa\/qnaf104","article-title":"M. Gabriela M. Gomes, Ibrahim Mohammed and Chris Robertson\u2019s contribution to the Discussion of \u2019Some statistical aspects of the Covid-19 response\u2019","volume":"189","author":"Gomes","year":"2026","journal-title":"J. R. Stat. Soc. Ser. A: Stat. Soc."},{"key":"10.1016\/j.epidem.2026.100911_b12","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1007\/s00285-011-0460-2","article-title":"The size of epidemics in populations with heterogeneous susceptibility","volume":"65","author":"Katriel","year":"2012","journal-title":"J. Math. Biol."},{"issue":"1","key":"10.1016\/j.epidem.2026.100911_b13","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1046\/j.1461-0248.2002.00268.x","article-title":"Estimating spatial coupling in epidemiological systems: a mechanistic approach","volume":"5","author":"Keeling","year":"2002","journal-title":"Ecol. Lett."},{"key":"10.1016\/j.epidem.2026.100911_b14","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1009149","article-title":"Covasim: An agent-based model of COVID-19 dynamics and interventions","volume":"17","author":"Kerr","year":"2021","journal-title":"PLoS Comput. Biol."},{"issue":"9","key":"10.1016\/j.epidem.2026.100911_b15","doi-asserted-by":"crossref","first-page":"577","DOI":"10.7326\/M20-0504","article-title":"The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: estimation and application","volume":"172","author":"Lauer","year":"2020","journal-title":"Ann. Intern. Med."},{"issue":"13","key":"10.1016\/j.epidem.2026.100911_b16","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.1056\/NEJMoa2001316","article-title":"Early transmission dynamics in wuhan, China, of novel coronavirus\u2013infected pneumonia","volume":"382","author":"Li","year":"2020","journal-title":"N. Engl. J. Med."},{"issue":"8","key":"10.1016\/j.epidem.2026.100911_b17","doi-asserted-by":"crossref","DOI":"10.1136\/bmjopen-2020-039652","article-title":"Incubation period of COVID-19: a rapid systematic review and meta-analysis of observational research","volume":"10","author":"McAloon","year":"2020","journal-title":"BMJ Open"},{"issue":"2","key":"10.1016\/j.epidem.2026.100911_b18","first-page":"117","article-title":"The dynamics of crowd infection","volume":"47","author":"McKendrick","year":"1940","journal-title":"Edinb. Med. J."},{"key":"10.1016\/j.epidem.2026.100911_b19","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1007\/s00285-022-01771-x","article-title":"Herd immunity under individual variation and reinfection","volume":"85","author":"Montalb\u00e1n","year":"2022","journal-title":"J. Math. Biol."},{"issue":"10","key":"10.1016\/j.epidem.2026.100911_b20","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0239678","article-title":"Power-law population heterogeneity governs epidemic waves","volume":"15","author":"Neipel","year":"2020","journal-title":"PLoS One"},{"key":"10.1016\/j.epidem.2026.100911_b21","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1016\/j.ijid.2020.02.060","article-title":"Serial interval of novel coronavirus (COVID-19) infections","volume":"93","author":"Nishiura","year":"2020","journal-title":"Int. J. Infect. Dis."},{"issue":"2","key":"10.1016\/j.epidem.2026.100911_b22","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.mbs.2008.07.010","article-title":"On the spread of epidemics in a closed heterogeneous population","volume":"215","author":"Novozhilov","year":"2008","journal-title":"Math. Biosci."},{"key":"10.1016\/j.epidem.2026.100911_b23","series-title":"Numerical Recipes in C: The Art of Scientific Computing","author":"Press","year":"1992"},{"key":"10.1016\/j.epidem.2026.100911_b24","doi-asserted-by":"crossref","DOI":"10.1016\/j.jtbi.2021.110839","article-title":"Heterogeneity in susceptibility dictates the order of epidemic models","volume":"528","author":"Rose","year":"2021","journal-title":"J. Theoret. Biol."},{"issue":"17","key":"10.1016\/j.epidem.2026.100911_b25","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.2015972118","article-title":"Time-dependent heterogeneity leads to transient suppression of the COVID-19 epidemic, not herd immunity","volume":"118","author":"Tkachenko","year":"2021","journal-title":"Proc. Natl. Acad. Sci. USA"},{"issue":"1","key":"10.1016\/j.epidem.2026.100911_b26","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.mbs.2006.08.018","article-title":"Understanding the transmission dynamics of respiratory syncytial virus using multiple time series and nested models","volume":"209","author":"White","year":"2007","journal-title":"Math. Biosci."},{"key":"10.1016\/j.epidem.2026.100911_b27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/jrsssa\/qnaf092","article-title":"Some statistical aspects of the Covid-19 response","volume":"189","author":"Wood","year":"2026","journal-title":"J. R. Stat. Soc. Ser. A: Stat. Soc."}],"container-title":["Epidemics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1755436526000277?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1755436526000277?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T08:13:32Z","timestamp":1793607212000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1755436526000277"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":27,"alternative-id":["S1755436526000277"],"URL":"https:\/\/doi.org\/10.1016\/j.epidem.2026.100911","relation":{},"ISSN":["1755-4365"],"issn-type":[{"value":"1755-4365","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"On the simultaneous inference of susceptibility distributions and intervention effects from epidemic curves","name":"articletitle","label":"Article Title"},{"value":"Epidemics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.epidem.2026.100911","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"100911"}}