COVID-19 Impact on DTP Vaccination Trends in Africa: A Joinpoint Regression Analysis

Ines Aguinaga-Ontoso1,2, Sara Guillen-Aguinaga1, Laura Guillen-Aguinaga1,3

  • 1Department of Health Sciences, Public University of Navarra, 31008 Pamplona, Spain.

Vaccines
|June 28, 2023
PubMed

Insights

COVID-19 significantly disrupted childhood vaccination in Africa, leading to a decline in DTP3 coverage. This trend highlights the pandemic's impact on essential immunization programs across the continent.

Area of Science:

  • Public Health
  • Epidemiology
  • Immunization Programs

Background:

  • Vaccine-preventable diseases remain a leading cause of mortality in African children.
  • Achieving high vaccine coverage is critical for reducing infant mortality rates.
  • The COVID-19 pandemic has strained healthcare systems, potentially impacting routine vaccination services.

Purpose of the Study:

  • To analyze trends in DTP3 vaccine coverage in Africa from 2012 to 2021.
  • To assess the impact of the COVID-19 pandemic on DTP3 vaccination rates.
  • To identify specific regions and countries experiencing changes in vaccine coverage.

Main Methods:

  • Utilized UNICEF database records for DTP3 vaccine coverage data (2012-2021).
  • Employed joinpoint regression analysis to identify significant trend changes in coverage.
  • Calculated Annual Percentage Change (APC) and compared coverage between 2019 and 2021 using Chi-square tests.

Main Results:

  • Overall DTP3 vaccine coverage in Africa showed a positive trend (APC 1.2%) until 2019.
  • A significant decline in DTP3 coverage was observed from 2019 to 2021 (APC -3.5%, p < 0.001).
  • Decreased vaccination rates were noted in multiple Sub-Saharan African countries, particularly in Eastern and Southern Africa.

Conclusions:

  • The COVID-19 pandemic demonstrably disrupted vaccine coverage across Africa.
  • There was a notable decrease in DTP3 vaccination rates in numerous African nations post-2019.
  • The findings underscore the vulnerability of immunization programs to global health crises.
Abstract

Related Concept Videos

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:
426
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:  
375
Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
7.4K
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:
155
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...
131
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...
196