Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

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

Domaine:

healthcaregeospatial

Type de record:

paper
Créateur:
Abdihamid WarsameFarah BashiirTerri FreemantleChris Williams
Éditeur:
ope
Hôte:
Abstract Background While the impact of the COVID-19 pandemic has been well documented in high-income countries, much less is known about its impact in Somalia where health systems are weak and vital registration is under developed. Methods We used remote sensing and geospatial analysis to quantify the number of burials from January 2017 to September 2020 in Mogadishu. We imputed missing grave counts using surface area data. Simple interpolation and a generalised additive mixed growth model were used to predict both actual and counterfactual burial rates by cemetery and across Mogadishu during the most likely period of COVID-19 excess mortality and to compute excess burials. We also undertook a qualitative survey of key informants to determine the drivers of COVID-19 excess mortality. Results Burial rates increased during the pandemic period with a ratio to pre-pandemic levels averaging 1.5-fold and peaking at 2.2-fold. When scaled to plausible range of baseline Crude Death Rates (CDR), excess death toll between January and September 2020 ranged between 3,200 and 11,800. When compared to burial records of the Barakaat Cemetery Committee our estimates were found to be lower. Conclusions Our study points to considerable under estimation of COVID-19 impact in Banadir and an overburdened public health system struggling to deal with the increasing severity of the epidemic in 2020.

Visit

doi.org

Similaires

Excess mortality associated with the COVID-19 pandemic during the 2020 and 2021 waves in Antananarivo, MadagascarQuantifying Excess Mortality During the COVID-19 Pandemic in 2020 in the Gambia: A Time-Series Analysis of Three Health and Demographic Surveillance SystemsExcess maternal deaths and maternal mortality ratios during the COVID-19 pandemic period: a global country-level counterfactual modelling studyIndirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa: a geospatial modelling analysisGlobal excess tuberculosis mortality during COVID-19: a country-level modeling study of policy and development correlatesmbkoltai/covid_lmic_model: Model fitting excess mortality data in Mogadishu v1.0

Excess mortality associated with the COVID-19 pandemic during the 2020 and 2021 waves in Antananarivo, Madagascar

International audience IntroductionCOVID-19-associated mortality remains difficult to

Quantifying Excess Mortality During the COVID-19 Pandemic in 2020 in the Gambia: A Time-Series Analysis of Three Health and Demographic Surveillance Systems

Excess maternal deaths and maternal mortality ratios during the COVID-19 pandemic period: a global country-level counterfactual modelling study

Background: Maternal mortality remains uneven globally, and the COVID-19 pandemic disrupted maternal

Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa: a geospatial modelling analysis

Background Substantial progress has been made in reducing the burden of malaria in

Global excess tuberculosis mortality during COVID-19: a country-level modeling study of policy and development correlates

Abstract Background The COVID-19 pandemic disrupted global tuberculosis (TB) control efforts, leadin

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

First release of source code for "Date of introduction and epidemiologic patterns of SARS-CoV-2