lwyakob/COVIDsaturates
Yakob, L
and Nightingale, E
(2020).
lwyakob/COVIDsaturates.
[Dataset].
Github.
https://github.com/lwyakob/COVIDsaturates
Contact rates between people within a population increase with human density, up until a saturating level. Using COVID-19 associated mortality data from England, we inferred the shape of this saturating contact-rate curve. We then included this saturating contact rate in a mathematical model of SARS-CoV-2 transmission, and compared projections with standard density-independent and density-dependent models. This item contains code to accompany "The importance of saturating density dependence for predicting SARS-CoV-2 resurgence" authored by Emily Nightingale, Oliver Brady & Laith Yakob.
Keywords
SARS-CoV-2, COVID-19, Coronavirus, Density dependenceItem Type | Dataset |
---|---|
Capture method | Simulation |
Date | 21 September 2020 |
Language(s) of written materials | English |
Creator(s) |
Yakob, L |
LSHTM Faculty/Department |
Faculty of Infectious and Tropical Diseases > Dept of Disease Control Faculty of Public Health and Policy > Dept of Global Health and Development |
Research Centre |
Antimicrobial Resistance Centre (AMR) Centre for Statistical Methodology Centre for the Mathematical Modelling of Infectious Diseases Malaria Centre |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 15 Apr 2021 10:08 |
Last Modified | 08 Jul 2021 12:51 |
Publisher | Github |
ORCID: https://orcid.org/0000-0001-8639-4511
ORCID: https://orcid.org/0000-0002-9265-1841