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