Research Data Leeds Repository

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

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/10.5518/801¹

Dataset description

ABC code for fitting gradient model to experimental data

Subjects:	H000 - Engineering > H100 - General engineering > H120 - Safety engineering > H123 - Public health engineering2
Divisions:	Faculty of Engineering and Physical Sciences > School of Civil Engineering3 Faculty of Engineering and Physical Sciences > School of Mathematics4
Related resources:	Location Type https://doi.org/10.1098/rsif.2020.01215 Publication https://eprints.whiterose.ac.uk/161366/6 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/6817
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/0000-0003-3259-81698 University of Arizona https://ror.org/03m2x1q45 ror King, Marco-Felipe https://orcid.org/0000-0001-7010-476X9 University of Leeds https://ror.org/024mrxd33 ror López-García, Martín https://orcid.org/0000-0003-3833-859510 University of Leeds https://ror.org/024mrxd33 ror Weir, Mark H. https://orcid.org/0000-0002-6995-103711 Ohio State University https://ror.org/00rs6vg23 ror Sexton, Jonathan D. https://orcid.org/0000-0002-9637-833612 University of Arizona https://ror.org/03m2x1q45 ror Canales, Robert A. https://orcid.org/0000-0002-1830-907913 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/0000-0003-1000-030614 EAWAG https://ror.org/00pc48d59 ror Noakes, Catherine J. https://orcid.org/0000-0003-3084-746715 University of Leeds https://ror.org/024mrxd33 ror Reynolds, Kelly A. https://orcid.org/0000-0003-4682-835916 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.uk17 Last Modified: 20 Dec 2024 14:21

Files

Documentation

README [712B] 18 README [712B] 19 README [712B] 20 Security: Anyone File name: README.rtf21 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] 22 ABC code for fitting gradient model to experimental data [5kB] 23 ABC code for fitting gradient model to experimental data [5kB] 24 Security: Anyone File name: ABC_and_QMRA_code_final_R1.m25 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

• 1. https://doi.org/10.5518/801
• 2. https://archive.researchdata.leeds.ac.uk/view/subjects/H123.html
• 3. https://archive.researchdata.leeds.ac.uk/view/divisions/SCE/
• 4. https://archive.researchdata.leeds.ac.uk/view/divisions/SM/
• 5. https://doi.org/10.1098/rsif.2020.0121
• 6. https://eprints.whiterose.ac.uk/161366/
• 7. https://archive.researchdata.leeds.ac.uk/id/eprint/681
• 8. https://orcid.org/0000-0003-3259-8169
• 9. https://orcid.org/0000-0001-7010-476X
• 10. https://orcid.org/0000-0003-3833-8595
• 11. https://orcid.org/0000-0002-6995-1037
• 12. https://orcid.org/0000-0002-9637-8336
• 13. https://orcid.org/0000-0002-1830-9079
• 14. https://orcid.org/0000-0003-1000-0306
• 15. https://orcid.org/0000-0003-3084-7467
• 16. https://orcid.org/0000-0003-4682-8359
• 17. mailto:m.f.king@leeds.ac.uk
• 18. https://archive.researchdata.leeds.ac.uk/681/2/README.rtf
• 19. https://archive.researchdata.leeds.ac.uk/681/2/README.rtf
• 20. https://archive.researchdata.leeds.ac.uk/681/2/README.rtf
• 21. https://archive.researchdata.leeds.ac.uk/681/2/README.rtf
• 22. https://archive.researchdata.leeds.ac.uk/681/1/ABC_and_QMRA_code_final_R1.m
• 23. https://archive.researchdata.leeds.ac.uk/681/1/ABC_and_QMRA_code_final_R1.m
• 24. https://archive.researchdata.leeds.ac.uk/681/1/ABC_and_QMRA_code_final_R1.m
• 25. https://archive.researchdata.leeds.ac.uk/681/1/ABC_and_QMRA_code_final_R1.m