Related Experiment Video

Updated: Nov 11, 2025

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.8K

COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development

Amanda Priscila de Santana Cabral Silva1,2, Eliane Rolim de Holanda3, Paula Daniella de Abreu4

  • 1Universidade Federal de Pernambuco, Centro Acadêmico Vitória, Núcleo de Saúde Coletiva, Vitória de Santo Antão, PE, Brasil.

Revista Da Sociedade Brasileira De Medicina Tropical
|March 24, 2021
PubMed

Insights

Health planning is crucial for controlling severe COVID-19 in children. Spatial analysis in Pernambuco revealed that less developed areas had higher severe COVID-19 case clusters, highlighting the need for localized health strategies.

Area of Science:

  • Pediatrics
  • Public Health
  • Epidemiology

Background:

  • Effective health planning is essential for managing and preventing severe cases of COVID-19 in pediatric populations.
  • Understanding geographical disparities in disease burden is critical for targeted interventions.

Purpose of the Study:

  • To analyze the spatial distribution of severe COVID-19 cases in children in Pernambuco.
  • To investigate the spatial autocorrelation between severe pediatric COVID-19 cases and the Human Development Index (HDI).

Main Methods:

  • Spatial analysis was employed to map severe COVID-19 cases in children in Pernambuco during the initial six months of the pandemic.
  • Bivariate analysis was used to assess the relationship between case distribution and HDI.

Main Results:

  • A total of 551 severe cases were identified, initially concentrated in the metropolitan area before spreading inland.
  • Significant spatial autocorrelation was observed, with alert regions identified in less developed municipalities (Moran's I = 0.341, p = 0.001).

Conclusions:

  • Local specificities, particularly socioeconomic factors indicated by HDI, are associated with severe pediatric COVID-19 case distribution.
  • Tailoring health planning and decision-making to local particularities is vital for effective pandemic control in children.
Abstract

More Related Videos

Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children10:57

Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children

Published on: August 22, 2012

24.0K
Trajectory Data Analyses for Pedestrian Space-time Activity Study16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.9K

Related Concept Videos

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...
7.4K
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...
1.1K
Pie Chart01:04

Pie Chart

A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
15.2K
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:  
939
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:
684
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...
303