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. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.5534762

Koltai, M. mbkoltai/covid_lmic_model: Model fitting excess mortality data in Mogadishu v1.0 [Internet]. Zenodo; 2021. Available from: https://doi.org/10.5281/zenodo.5534762

Koltai, M (2021). mbkoltai/covid_lmic_model: Model fitting excess mortality data in Mogadishu v1.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5534762

Alternative Title

Description

Keywords

Methods

Data capture method Aggregation
Date (Date published in a 3rd party system) 28 September 2021
Language(s) of written materials English

People & Groups

Data Creators Koltai, M
LSHTM Faculty/Department Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Research Centre Centre for the Mathematical Modelling of Infectious Diseases
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom

Projects

Additional Information

Date Deposited 22 Jun 2021 10:42
Last Modified 30 Sep 2021 15:09
Publisher Zenodo

Share

Downloads

Data not available from this repository.

External resources

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)

Downloads

View details

Metrics & Citations

Google Scholar

Google Scholar
Report this Record Edit item (admin only)