Epidemiology of Pediatric Zika Virus Infections

Isabel Griffin1, Guoyan Zhang2, Danielle Fernandez2

  • 1Department of Epidemiology, Disease Control, and Immunization Services, Florida Department of Health in Miami-Dade County, Miami, Florida; and isabel.griffin@flhealth.gov.

Pediatrics
|November 3, 2017
PubMed

Insights

Pediatric Zika virus (ZIKV) infections in Miami-Dade County during the 2016 outbreak predominantly showed mild symptoms. Most infected children had only two of the four main ZIKV symptoms and often had sick household members.

Area of Science:

  • Pediatric Infectious Diseases
  • Epidemiology
  • Virology

Background:

  • Local transmission of Zika virus (ZIKV) was confirmed in Miami-Dade County, Florida, in July 2016.
  • This study focuses on the epidemiology of pediatric ZIKV infections, including both locally acquired and travel-associated cases.

Purpose of the Study:

  • To describe the characteristics of pediatric Zika virus infections during the 2016 Miami-Dade County outbreak.
  • To analyze the clinical presentation and epidemiological factors of ZIKV in children aged 1 to 17 years.

Main Methods:

  • Retrospective analysis of children (1-17 years) tested for ZIKV between October 2015 and March 2017.
  • Data analysis included demographics, exposure origin, symptomology, hospitalizations, and laboratory findings (viremia, viruria, antibodies).

Main Results:

  • Out of 478 confirmed ZIKV cases, 33 (6.9%) were in children. Twenty-seven (82.3%) pediatric cases were travel-associated.
  • The median age was 11 years, with 51.5% being boys and 69.9% Hispanic. Among symptomatic children, rash was universal, fever occurred in 80.6%, conjunctivitis in 29.0%, and arthralgia in 22.6%.
  • A significant proportion of symptomatic children presented with only two (48.5%) or three (24.2%) of the four main ZIKV symptoms.

Conclusions:

  • The majority of pediatric ZIKV cases during the 2016 outbreak exhibited mild illness, often with only two cardinal symptoms.
  • Pediatric ZIKV infections were frequently linked to symptomatic individuals within the same household, suggesting potential for intrafamilial transmission.
Abstract

Related Concept Videos

Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
1.9K
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...
1.7K
What are Viruses?00:50

What are Viruses?

Overview
128.3K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
1.0K
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
846
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:  
1.4K