Pearson, CAB, Hladish, T, Pillai, AN and Chao, D. 2023. tjhladish/dengue-abm. [Online]. Github. Available from: https://github.com/tjhladish/dengue-abm
Pearson, CAB, Hladish, T, Pillai, AN and Chao, D. tjhladish/dengue-abm [Internet]. Github; 2023. Available from: https://github.com/tjhladish/dengue-abm
Pearson, CAB, Hladish, T, Pillai, AN and Chao, D (2023). tjhladish/dengue-abm. [Data Collection]. Github. https://github.com/tjhladish/dengue-abm
Description
This stochastic, discrete-time, agent-based model of dengue transmission explicitly represents a synthetic population of humans and mosquitoes with which transmission of all four Dengue serotypes can be simulated.
Keywords
| Data capture method | Other |
|---|---|
| Date (Published in a 3rd party system) | 7 December 2023 |
| Language(s) of written materials | English |
| Data Creators | Pearson, CAB, Hladish, T, Pillai, AN and Chao, D |
|---|---|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 29 Jul 2024 13:26 |
|---|---|
| Last Modified | 29 Jul 2024 13:26 |
| Publisher | Github |
