Related Experiment Video

Updated: Aug 20, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.3K

Analysis of COVID-19 mortality in patients with comorbidities in Côte d'Ivoire

Rui Usui1,2, Shogo Kanamori3, Maki Aomori1

  • 1Department of Nursing, Graduate School of Medicine, The Yokohama City University, Yokohama, Kanagawa, Japan.

Journal of Public Health in Africa
|November 21, 2022
PubMed

Insights

COVID-19 deaths in Côte d'Ivoire were strongly linked to non-communicable diseases (NCDs). Elderly and diabetic individuals require focused prevention strategies to mitigate mortality risks.

Area of Science:

  • Epidemiology
  • Public Health
  • Infectious Diseases

Background:

  • COVID-19 has impacted Côte d'Ivoire, but data on comorbidities among fatalities is lacking.
  • Understanding these comorbidities is crucial for public health interventions.

Purpose of the Study:

  • To determine the types and prevalence of comorbidities in COVID-19 deaths.
  • To compare comorbidity prevalence in COVID-19 deaths with the general adult population in Côte d'Ivoire.

Main Methods:

  • Utilized official government and WHO reports for data collection.
  • Analyzed comorbidities in COVID-19 death cases and compared them to the general adult population's disease structure.

Main Results:

  • Out of 67 COVID-19 deaths, 81% had non-communicable diseases (NCDs).
  • Significantly higher prevalence ratios for diabetes (8.96), hypertension (1.74), and obesity (2.16) were observed in COVID-19 deaths compared to the general population.
  • The 60-69 age group represented the largest proportion of fatalities (34%).

Conclusions:

  • Focused infection prevention measures are essential for elderly and diabetic patients to reduce COVID-19 mortality risk.
  • Addressing NCDs is critical in managing COVID-19 outcomes in Côte d'Ivoire.
Abstract

Keywords:
COVID19 comorbidityCôte d’Ivoirenon-communicable disease

More Related Videos

Field Postmortem Rabies Rapid Immunochromatographic Diagnostic Test for Resource-Limited Settings with Further Molecular Applications07:40

Field Postmortem Rabies Rapid Immunochromatographic Diagnostic Test for Resource-Limited Settings with Further Molecular Applications

Published on: June 29, 2020

13.6K
Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-1908:48

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19

Published on: February 16, 2022

3.0K

Related Concept Videos

Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
499
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
480
Pneumonia III: Complications and Assessment01:30

Pneumonia III: Complications and Assessment

Pneumonia poses the potential for numerous complications that warrant consideration. These complications include the following:
353
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
649
COPD: Pathogenesis and Clinical Features01:20

COPD: Pathogenesis and Clinical Features

Chronic obstructive pulmonary disease (COPD) is a group of lung conditions that progressively worsen over time, including chronic bronchitis and emphysema. This cluster of diseases collectively leads to a gradual and irreversible decline in lung function over time.
The primary cause for the onset of COPD is cigarette smoking and exposure to air pollution. These hazardous factors initiate a chain reaction within the lungs, resulting in chronic inflammation, damage to the airways, and a...
437
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
713