Demographics of COVID-19 hospitalisations and related fatality risk patterns

Daniela Ghio1, Simona Bignami-Van Assche2, Nikolaos I Stilianakis3

  • 1European Commission, Joint Research Centre (JRC), Ispra, Italy.

Insights

Older adults and men, particularly those aged 50-69, face higher COVID-19 hospitalization risks. Comorbidities significantly influence the need for hospital care, impacting health resource planning during pandemics.

Area of Science:

  • Epidemiology
  • Public Health
  • Health Services Research

Background:

  • Assessing COVID-19 hospitalizations and fatality risks is vital for healthcare resource planning.
  • Large-scale comparative data on COVID-19 hospitalization patterns and risk factors are limited.

Purpose of the Study:

  • To profile the demographics of COVID-19 hospitalized patients across nine European countries during the first pandemic wave.
  • To estimate the role of demographic factors and comorbidities in COVID-19 in-hospital mortality.
  • To understand the burden of COVID-19 on healthcare demand during emergencies.

Main Methods:

  • Utilized anonymized, individual-level SARS-CoV-2 infection data harmonized by the European Centre for Disease Prevention and Control.
  • Analyzed demographic factors associated with hospitalization and in-hospital mortality.
  • Conducted a case study on comorbidities among hospitalized COVID-19 patients in the Dutch health system.

Main Results:

  • Hospitalization rates were highest for individuals over 70 and those aged 50-69.
  • Men exhibited higher hospitalization rates than women across all age groups, especially above 50.
  • Comorbidities were found to be key factors in selecting COVID-19 cases requiring hospitalization.

Conclusions:

  • Findings highlight the need for calibrated epidemiological projections and strategic health service planning for infectious disease outbreaks.
  • Understanding hospitalization timing and intensity aids in comprehending severe COVID-19 outcomes.
  • Demographic factors and comorbidities are critical considerations for managing healthcare demand during pandemics.

Related Concept Videos

Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
12.2K
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:
507
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...
755
Hazard Rate01:11

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
174
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
315
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...
7.0K