Research Data Leeds Repository

Evaluating a transfer gradient assumption in a fomite-mediated microbial transmission model using an experimental and Bayesian approach - computation code

Wilson, Amanda M. and King, Marco-Felipe and López-García, Martin 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. The Royal Society Publishing. [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:	http://archive.researchdata.leeds.ac.uk/id/eprint/681
Additional details Additional details Creators: 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://doi.org/10.13039/100007899 crossref King, Marco-Felipe https://orcid.org/0000-0001-7010-476X University Of Leeds https://doi.org/10.13039/501100000777 crossref López-García, Martin https://orcid.org/0000-0003-3833-8595 University Of Leeds https://doi.org/10.13039/501100000777 crossref Weir, Mark H. Ohio State University Sexton, Jonathan D. University of Arizona https://doi.org/10.13039/100007899 crossref Canales, Robert A. University of Arizona https://doi.org/10.13039/100007899 crossref Kostov, Georgiana E. University of Arizona https://doi.org/10.13039/100007899 crossref Julian, Timothy R EAWAG Noakes, Catherine J. https://orcid.org/0000-0003-3084-7467 University Of Leeds https://doi.org/10.13039/501100000777 crossref Reynolds, Kelly A. https://orcid.org/0000-0003-4682-8359 University of Arizona https://doi.org/10.13039/100007899 crossref 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 Publisher: The Royal Society Publishing Contact Email Address: m.f.king@leeds.ac.uk Last Modified: 25 Jun 2020 08:09

Files

Documentation

README [712B] README [712B] README [712B] Visible to: 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] Visible to: 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