Age-structured SEIR model for COVID-19 outbreak in Wuhan, China
Prem, K
, Liu, Y, Russell, TW, Kucharski, AJ, Eggo, RM, Davies, NG, Jit, M, Klepac, P, Flasche, S, Clifford, S, Pearson, CAB, Munday, JD, Abbott, S, Gibbs, H, Rosello, A, Quilty, BJ, Jombart, T, Sun, F, Diamond, C, Gimma, A, Van zandvoort, K, Funk, S, Jarvis, CI, Edmunds, WJ, Bosse, NI and Hellewell, J
(2020).
Age-structured SEIR model for COVID-19 outbreak in Wuhan, China.
[Dataset].
Github.
https://github.com/kieshaprem/covid19-agestructureSEIR-wuhan-social-distancing
, Liu, Y, Russell, TW, Kucharski, AJ, Eggo, RM, Davies, NG, Jit, M, Klepac, P, Flasche, S, Clifford, S, Pearson, CAB, Munday, JD, Abbott, S, Gibbs, H, Rosello, A, Quilty, BJ, Jombart, T, Sun, F, Diamond, C, Gimma, A, Van zandvoort, K, Funk, S, Jarvis, CI, Edmunds, WJ, Bosse, NI and Hellewell, J
(2020).
Age-structured SEIR model for COVID-19 outbreak in Wuhan, China.
[Dataset].
Github.
https://github.com/kieshaprem/covid19-agestructureSEIR-wuhan-social-distancing
To assess the impact of a range of control measures that reduce social mixing on data from the COVID-19 outbreak in Wuhan, China. Using the best estimates for the epidemiological parameters, we simulate the effects of the control measures using an age-structured, location-specific transmission model. The model uses data on contact patterns. Specifically, we adjust these patterns according to how they change under certain control measures. We then simulate our transmission model under these different scenarios and assess the impact.
Keywords
SARS-CoV-2, COVID-19, Coronavirus, SARS-CoV2| Item Type | Dataset |
|---|---|
| Capture method | Simulation |
| Date | 18 March 2020 |
| Language(s) of written materials | English |
| Creator(s) |
Prem, K, Liu, Y, Russell, TW, Kucharski, AJ, Eggo, RM, Davies, NG, Jit, M, Klepac, P, Flasche, S, Clifford, S, Pearson, CAB, Munday, JD, Abbott, S, Gibbs, H, Rosello, A, Quilty, BJ, Jombart, T, Sun, F, Diamond, C, Gimma, A, Van zandvoort, K, Funk, S, Jarvis, CI, Edmunds, WJ, Bosse, NI and Hellewell, J
|
| LSHTM Faculty/Department |
Faculty of Epidemiology and Population Health Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI UNSPECIFIED UNSPECIFIED http://dx.doi.org/10.13039/501100000272 |
| Date Deposited | 26 Mar 2020 20:49 |
| Last Modified | 20 Aug 2021 14:40 |
| Publisher | Github |
Explore Further
- Prem, Kiesha
- Liu, Yang
- Russell, Timothy W.
- Kucharski, Adam
- Eggo, Rosalind M.
- Davies, Nicholas G.
- Jit, Mark
- Klepac, Petra
- Flasche, Stefan
- Clifford, Samuel
- Pearson, Carl A. B.
- Munday, James D.
- Abbott, Sam
- Gibbs, Hamish
- Rosello, Alicia
- Quilty, Billy
- Jombart, Thibaut
- Sun, Fiona
- Diamond, Charlie
- Gimma, Amy
- Van Zandvoort, Kevin
- Funk, Sebastian
- Jarvis, Christopher I.
- Edmunds, John
- Bosse, Nikos I
- Hellewell, Joel
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