Research Data Leeds Repository

Citation

Wilson, Amanda M. and King, Marco-Felipe and López-García, Martín and Weir, Mark H. and Sexton, Jonathan D. and Canales, Robert A. and Kostov, Georgiana E. and Julian, Timothy R. and Noakes, Catherine J. and Reynolds, Kelly A. (2020) Evaluating a transfer gradient assumption in a fomite-mediated microbial transmission model using an experimental and Bayesian approach - computation code. University of Leeds. [Dataset] https://doi.org/10.5518/801

Dataset description

ABC code for fitting gradient model to experimental data

Subjects:	H000 - Engineering > H100 - General engineering > H120 - Safety engineering > H123 - Public health engineering
Divisions:	Faculty of Engineering and Physical Sciences > School of Civil Engineering Faculty of Engineering and Physical Sciences > School of Mathematics
Related resources:	Location Type https://doi.org/10.1098/rsif.2020.0121 Publication http://eprints.whiterose.ac.uk/161366/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	01 Jun 2020 10:28
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/681
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Wilson, Amanda M. https://orcid.org/0000-0003-3259-8169 University of Arizona https://ror.org/03m2x1q45 ror King, Marco-Felipe https://orcid.org/0000-0001-7010-476X University of Leeds https://ror.org/024mrxd33 ror López-García, Martín https://orcid.org/0000-0003-3833-8595 University of Leeds https://ror.org/024mrxd33 ror Weir, Mark H. https://orcid.org/0000-0002-6995-1037 Ohio State University https://ror.org/00rs6vg23 ror Sexton, Jonathan D. https://orcid.org/0000-0002-9637-8336 University of Arizona https://ror.org/03m2x1q45 ror Canales, Robert A. https://orcid.org/0000-0002-1830-9079 University of Arizona https://ror.org/03m2x1q45 ror Kostov, Georgiana E. University of Arizona https://ror.org/03m2x1q45 ror Julian, Timothy R. https://orcid.org/0000-0003-1000-0306 EAWAG https://ror.org/00pc48d59 ror Noakes, Catherine J. https://orcid.org/0000-0003-3084-7467 University of Leeds https://ror.org/024mrxd33 ror Reynolds, Kelly A. https://orcid.org/0000-0003-4682-8359 University of Arizona https://ror.org/03m2x1q45 ror Type of data: Dataset Research funders: EPSRC, NIEHS, MRC, EPSRC Grant numbers: EP/P023312/1, P30 ES006694, MR/N014855/1, EP/P023312/1 Publication date: 2020 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: m.f.king@leeds.ac.uk Last Modified: 22 Jul 2024 10:32

Files

Documentation

README [712B] README [712B] README [712B] Security: Anyone File name: README.rtf Content type: Documentation Description: Description of code Mime-Type: application/rtf File size: 712B

Data

ABC code for fitting gradient model to experimental data [5kB] ABC code for fitting gradient model to experimental data [5kB] ABC code for fitting gradient model to experimental data [5kB] Security: Anyone File name: ABC_and_QMRA_code_final_R1.m Content type: Data Description: ABC code - runs out of the box without dependecy. Written in Matlab 2017 Mime-Type: application/vnd.wolfram.mathematica.package File size: 5kB