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Harnessing artificial intelligence and digital technology for enhancing routine immunization among zero-dose

Shafaq Taseen1, Muhammad Tahir Yousafzai1, Muhammad Fazal Hussain Qureshi2

  • 1Department of Paediatrics and Child Health, Division of Woman and Child Health, The Aga Khan University and Hospital, Karachi, Pakistan.

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Summary

Artificial intelligence (AI) can significantly improve childhood immunization rates in low- and middle-income countries by identifying unvaccinated populations and optimizing vaccine delivery. AI tools help combat vaccine hesitancy and reduce inequities, aiming to halve the number of zero-dose children by 2030.

Keywords:
AI-driven interventionsArtificial intelligencedata-driven targetingdigital health passportsgeographical information systemsroutine immunizationtelemedicinezero-dose children

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Area of Science:

  • Public Health Informatics
  • Digital Health Innovations
  • Artificial Intelligence in Healthcare

Background:

  • Zero-dose children represent a critical global health challenge, particularly in low- and middle-income countries (LMICs).
  • Limited access to routine immunizations leaves vulnerable children susceptible to preventable diseases.

Purpose of the Study:

  • To explore the potential of artificial intelligence (AI) in addressing the challenge of zero-dose children.
  • To examine how AI can enhance routine childhood immunization programs.

Main Methods:

  • A narrative review synthesizing literature on AI, digital health, vaccine delivery, and public health informatics.
  • Literature sourced from major databases (PubMed, Scopus, Google Scholar) and reports from WHO, UNICEF, and Gavi.

Main Results:

  • AI effectively identifies zero-dose populations and optimizes vaccine delivery through tools like digital health passports and predictive analytics.
  • AI-driven communication strategies and geographic information systems (GIS) combat vaccine hesitancy and improve outreach to underserved areas.
  • Challenges include data quality, scalability, and ethical considerations in AI implementation.

Conclusions:

  • AI offers powerful solutions for identifying unvaccinated populations and enhancing data-driven decision-making in immunization programs.
  • Targeted AI utilization can significantly reduce vaccine skepticism and improve immunization coverage globally.
  • The paper advocates for strategic AI implementation to achieve a 50% reduction in zero-dose children by 2030.