Bayesian workflow for time-varying transmission in stratified compartmental infectious disease transmission models.
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| Title: | Bayesian workflow for time-varying transmission in stratified compartmental infectious disease transmission models. |
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| Authors: | Bouman JA; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland., Hauser A; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Institut national de la santé et de la recherche médicale Sorbonne Université (INSERM), Sorbonne Université, Paris, France., Grimm SL; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Center for Space and Habitability, University of Bern, Bern, Switzerland., Wohlfender M; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland., Bhatt S; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, United Kingdom.; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Semenova E; Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom., Gelman A; Department of Statistics, Columbia University, New York, New York, United States of America.; Department of Political Science, Columbia University, New York, New York, United States of America., Althaus CL; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland., Riou J; Department of Epidemiology and Health Systems, Unisanté, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2024 Apr 29; Vol. 20 (4), pp. e1011575. Date of Electronic Publication: 2024 Apr 29 (Print Publication: 2024). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1011575 |
