Rubella seroprevalence among unvaccinated school-aged children in Jos, North Central, Nigeria

Hyelshilni Samuel Waziri1, Fatima Giwa2, Adebola Tolulope Olayinka2

  • 1African Field Epidemiology Network, Abuja, Nigeria.

PubMed

Insights

High rubella IgG and IgM antibody prevalence was found in Nigerian children under 10. Older children and those without Western education were more likely to be seropositive, indicating a need for improved rubella vaccination programs.

Area of Science:

  • Epidemiology
  • Immunology
  • Public Health

Background:

  • Rubella presents a substantial public health challenge, especially in developing nations, with congenital rubella syndrome (CRS) being a preventable concern.
  • Understanding rubella seroprevalence is crucial for implementing effective control strategies.

Purpose of the Study:

  • To determine the seroprevalence of rubella IgG and IgM antibodies in children aged 10 and under in Jos, Nigeria.
  • To identify risk factors associated with rubella seropositivity in this population.

Main Methods:

  • A cross-sectional study was conducted involving 405 children aged 10 and under in Jos, Nigeria.
  • Rubella-specific IgG and IgM antibodies were detected using enzyme-linked immunosorbent assay (ELISA).
  • Multistage sampling was employed, and data were analyzed using R software.

Main Results:

  • A high seroprevalence of rubella IgG antibodies was observed (82.96%).
  • A small proportion of participants tested positive for rubella IgM antibodies (2.22%).
  • Age (≥ 5 years) and lack of Western education were significantly associated with rubella seropositivity.

Conclusions:

  • The study reveals significant rubella IgG and IgM antibody seroprevalence in young children in Jos, Nigeria.
  • Factors like older age and limited Western education highlight vulnerabilities.
  • Strengthening rubella vaccination programs is essential to prevent congenital rubella syndrome.
Abstract

Related Concept Videos

Vaccinations01:51

Vaccinations

Overview
44.1K
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...
384
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...
72
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:  
167
Cross-reactivity00:42

Cross-reactivity

Overview
31.0K