Factors Influencing Frequency of Pediatric Clinically Distinguishable Influenza: A 2 Season Case-Control Study

Ryan A Salazar1, Scott S Field2

  • 1University of Alabama at Birmingham School of Medicine (Medical Student), Huntsville, AL, USA.

Insights

Individual children vary in their susceptibility to influenza, with many remaining unaffected even without vaccination. Past infections and sex influence future risk, suggesting innate differences in how children experience the flu.

Area of Science:

  • Pediatric infectious diseases
  • Immunology
  • Epidemiology

Background:

  • Individual differences in children's susceptibility to influenza are not well understood.
  • Lifetime frequency of clinically distinguishable influenza varies significantly among pediatric populations.

Purpose of the Study:

  • To investigate individual differences in influenza susceptibility and lifetime illness frequency in children.
  • To compare influenza outcomes between confirmed pediatric cases and age-matched controls over two seasons.

Main Methods:

  • Enzyme-linked immunoassay-confirmed pediatric influenza cases (n=96) and controls (n=171) were studied over two seasons (2017-2019).
  • Data collection involved medical records, questionnaires, and interviews to ascertain past influenza and vaccination histories.
  • Statistical analysis compared influenza incidence, risk factors, and vaccine effectiveness between cases and controls.

Main Results:

  • Lifetime influenza incidence averaged 22.6% per year of age in cases versus 5.6% in controls; 62% of controls never had influenza.
  • Prior influenza infection was a significant risk factor for subsequent influenza in controls (P=.018).
  • Vaccine effectiveness was lower (17%-26%) than the protective effect of no prior influenza (52%) against season 2 influenza; lifetime vaccination rates did not correlate with lifetime illness.

Conclusions:

  • Significant variation exists in children's lifetime experience with clinically distinguishable influenza.
  • Factors beyond vaccination, such as prior infection history and sex, influence influenza risk.
  • Innate individual differences likely play a role in susceptibility and disease frequency, independent of vaccination frequency.
Abstract

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...
12.5K
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...
878
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,...
4.5K
Vaccinations01:51

Vaccinations

Overview
45.5K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
236