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A significant challenge in fitting Bayesian compartmental models lies in the need to estimate the duration of the infectious period, based on limited data providing only symptom onset date or another proxy for the start of infectiousness. Commonly, the exponential distribution is used to describe the infectious duration, an overly simplistic approach, which is not biologically plausible. More flexible distributions can be used, but parameter identifiability and computational cost can worsen for moderately sized or large epidemics. In this article, we present a novel approach, which considers a curve of transmissibility over a fixed infectious duration. The incorporation of infectious duration\u2010dependent (IDD) transmissibility, which decays to zero during the infectious period, is biologically reasonable for many viral infections and fixing the length of the infectious period eases computational complexity in model fitting. Through simulation, we evaluate different functional forms of IDD transmissibility curves and show that the proposed approach offers improved estimation of the time\u2010varying reproductive number. We illustrate the benefit of our approach through a new analysis of the 1995 outbreak of Ebola Virus Disease in the Democratic Republic of the\u00a0Congo.<\/jats:p>","DOI":"10.1002\/bimj.202100401","type":"journal-article","created":{"date-parts":[[2022,10,26]],"date-time":"2022-10-26T05:35:12Z","timestamp":1666762512000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Incorporating infectious duration\u2010dependent transmission into Bayesian epidemic models"],"prefix":"10.1002","volume":"65","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0806-0222","authenticated-orcid":false,"given":"Caitlin","family":"Ward","sequence":"first","affiliation":[{"name":"Department of Biostatistics University of Iowa Iowa City Iowa USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Grant D.","family":"Brown","sequence":"additional","affiliation":[{"name":"Department of Biostatistics University of Iowa Iowa City Iowa USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacob J.","family":"Oleson","sequence":"additional","affiliation":[{"name":"Department of Biostatistics University of Iowa Iowa City Iowa USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,10,26]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1371\/currents.outbreaks.91afb5e0f279e7f29e7056095255b288"},{"key":"e_1_2_10_3_1","volume-title":"Stochastic epidemic models and their statistical analysis","author":"Andersson H.","year":"2012"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/nm0402-313"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00285-007-0081-y"},{"key":"e_1_2_10_6_1","doi-asserted-by":"crossref","unstructured":"Brauer F.(1996).Variable infectivity in communicable disease models. in:V.Lakshmikantham(Ed.) 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