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mbkoltai/covid_lmic_model: Model fitting excess mortality data in Mogadishu v1.0

Domaine:

healthcare

Type de record:

software
Créateur:
Mihaly Koltai
Éditeur:
Zenodo
Hôte:avatar
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"

Visit

doi.orgzenodo.org

Licenses

MIT Licensehttps://opensource.org/licenses/MITOpen Accessinfo:eu-repo/semantics/openAccess

Similaires

Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Mogadishu, SomaliaDate of introduction and epidemiologic patterns of SARS-CoV-2 in Mogadishu, Somalia: estimates from transmission modelling of 2020 excess mortality dataExtended data 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"Date of introduction and epidemiologic patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Mogadishu, Somalia: estimates from transmission modelling of satellite-based excess mortality data in 2020Fitting results of the epidemic model without vaccination.Data used in "Forecasting inflation with excess liquidity and excess depreciation: the case of Angola"

Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Mogadishu, Somalia

Abstract Background While the impact of th

Date of introduction and epidemiologic patterns of SARS-CoV-2 in Mogadishu, Somalia: estimates from transmission modelling of 2020 excess mortality data

Abstract Introduction In countries with we

Extended data 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"

Supplementary figures and table of Koltai et al. "Date of introduction

Date of introduction and epidemiologic patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Mogadishu, Somalia: estimates from transmission modelling of satellite-based excess mortality data in 2020

Background: In countries with weak surveillance systems, confirmed coronavirus

Fitting results of the epidemic model without vaccination.

The gray dots represent the number of cases in Kampala, Uganda in 2015, and the blue line shows t

Data used in "Forecasting inflation with excess liquidity and excess depreciation: the case of Angola"

The data sources are described below