mbkoltai/covid_lmic_model: Model fitting excess mortality data in Mogadishu v1.0
Koltai, M
(2021).
mbkoltai/covid_lmic_model: Model fitting excess mortality data in Mogadishu v1.0.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.5534762
First release of source code for "Date of introduction and epidemiologic patterns of SARS-CoV-2 in Mogadishu, Somalia: estimates from transmission modelling of satellite-based excess mortality data in 2020".
Keywords
COVID-19, SARS-CoV-2, CoronavirusItem Type | Dataset |
---|---|
Capture method | Aggregation |
Date | 28 September 2021 |
Language(s) of written materials | English |
Creator(s) |
Koltai, M |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
Research Centre | Centre for the Mathematical Modelling of Infectious Diseases |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 22 Jun 2021 10:42 |
Last Modified | 30 Sep 2021 15:09 |
Publisher | Zenodo |
Explore Further
- Github (Data)
- Preprint: Model fitting of early 2020 increase in burials in Mogadishu (Somalia) suggests possible early introduction of SARS-CoV-2 (Paper)
- Zenodo (Online Data Resource)
No files available. Please consult associated links.
- Github (Data)
- Preprint: Model fitting of early 2020 increase in burials in Mogadishu (Somalia) suggests possible early introduction of SARS-CoV-2 (Paper)
- Zenodo (Online Data Resource)
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ORCID: https://orcid.org/0000-0002-7341-5114