Liu, Y, Gong, W, Clifford, S, Sundaram, ME, CMMID COVID-19 Working Group, Jit, M, Flasche, S and Klepac, P. 2020. yangclaraliu/covid_surveillance_strategy: WOR Submission. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.4017353
Liu, Y, Gong, W, Clifford, S, Sundaram, ME, CMMID COVID-19 Working Group, Jit, M, Flasche, S and Klepac, P. yangclaraliu/covid_surveillance_strategy: WOR Submission [Internet]. Zenodo; 2020. Available from: https://doi.org/10.5281/zenodo.4017353
Liu, Y, Gong, W, Clifford, S, Sundaram, ME, CMMID COVID-19 Working Group, Jit, M, Flasche, S and Klepac, P (2020). yangclaraliu/covid_surveillance_strategy: WOR Submission. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4017353
Description
Code used for "A Modelling Study for Designing a Multi-layered Surveillance Approach to Detect the Potential Resurgence of SARS-CoV-2"
Keywords
Data capture method | Simulation |
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Date (Date published in a 3rd party system) | 7 September 2020 |
Language(s) of written materials | English |
Data Creators | Liu, Y, Gong, W, Clifford, S, Sundaram, ME, CMMID COVID-19 Working Group, Jit, M, Flasche, S and Klepac, P |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, Bill & Melinda Gates Foundation, Emory University, Atlanta, Georgia, United States of America |
Date Deposited | 14 Sep 2020 09:21 |
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Last Modified | 08 Jul 2021 12:51 |
Publisher | Zenodo |