THE ROLE OF THE IMMUNE SYSTEM IN THE DEVELOPMENT OF ACUTE RESPIRATORY VIRAL INFECTIONS IN CHILDREN

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Authors: Sarvarbek Abduqohhorov
Cited by: 0

Abstract

Acute Respiratory Viral Infections (ARVI) are among the most common infectious diseases affecting children worldwide and represent a major cause of morbidity, healthcare utilization, and school absenteeism. The susceptibility of children to ARVI is closely linked to the developmental characteristics of their immune system. Unlike adults, children possess an immature immune response that undergoes gradual maturation through early childhood, influencing both the frequency and severity of viral respiratory infections. This article explores the role of the immune system in the pathogenesis and progression of ARVI in pediatric populations. It examines the interaction between innate and adaptive immune responses, the influence of age-related immunological development, and the impact of environmental and genetic factors on immune competence. A comprehensive review of existing literature highlights how deficiencies in mucosal immunity, reduced interferon production, and limited immunological memory contribute to increased vulnerability in children. Furthermore, this paper discusses the implications of immune dysregulation, including hyperinflammatory responses and secondary bacterial infections. Understanding immune mechanisms involved in ARVI development provides a foundation for improving preventive strategies, optimizing immunomodulatory therapies, and reducing disease burden. The findings emphasize the importance of early immune system support through vaccination, nutrition, and environmental control. This article contributes to pediatric infectious disease research by integrating immunological theory with clinical observations, offering a holistic perspective on ARVI development in children.

Fields of Study & Subjects

Pediatric health and respiratory diseases Respiratory viral infections research Literature Analysis and Criticism

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 February 2026
Document type
Dataset