COVID-19: Pandemic in Ecuador: a health disparities perspective

Theofilos Toulkeridis1, Rachid Seqqat2, Marbel Torres A3

  • 1TT: Geología. M. Sc. Geología y Paleontología. Dr. Geología y Geoquímica de los Isótopos. Universidad de las Fuerzas Armadas ESPE. Sangolquí, Ecuador. ttoulkeridis@espe.edu.ec.

Insights

Vulnerable areas in Ecuador, particularly those affected by volcanic ash, are at higher risk for severe COVID-19 outcomes. These regions require targeted protection strategies during ongoing infection waves.

Area of Science:

  • Environmental Health
  • Epidemiology
  • Public Health

Background:

  • The COVID-19 pandemic began in Ecuador in February 2020, leading to over 40,000 cases and significant mortality.
  • A strict lockdown imposed in March 2020 caused a severe economic crisis.
  • Excess deaths during March-May 2020 indicate a substantial impact beyond reported COVID-19 cases.

Purpose of the Study:

  • To investigate the correlation between volcanic ash distribution and COVID-19 infection susceptibility and mortality in Ecuador.
  • To identify high-risk populations for potential secondary waves of infection.

Main Methods:

  • A descriptive ecological study was conducted using national COVID-19 data from the Ministry of Public Health.
  • Volcanic ash fall data was analyzed geographically using satellite imagery over 21 years.
  • Mortality and attack rates were examined per canton.

Main Results:

  • Areas with high volcanic ash distribution showed higher COVID-19 mortality rates despite lower attack rates.
  • Specific cantons like Portovelo, Playas, and Santa Rosa reported the highest mortality per 100,000 people.
  • Volcanic material distribution is concentrated in the central to northern Highlands and Inter-Andean Valley.

Conclusions:

  • Geographical areas with pre-existing vulnerabilities, such as volcanic ash exposure, are more susceptible to severe COVID-19.
  • These vulnerable populations require specific protective measures, especially during subsequent infection waves.
Abstract

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:  
478
Factors Affecting Illness01:18

Factors Affecting Illness

When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
4.3K
Dimensions of Health and Illness01:21

Dimensions of Health and Illness

The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
7.6K
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...
682
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
156
Pareto Chart00:52

Pareto Chart

A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
6.9K