What is the name of your organization?
NGO Reaching Zero-Dose Children
What is the name of your solution?
Reaching the Unreached
Provide a one-line summary or tagline for your solution.
AI-driven behavioral insights platform to identify and address vaccine hesitancy among caregivers in post-pandemic, rural Filipino communities.
In what city, town, or region is your solution team headquartered?
Tokyo, Japan
In what country is your solution team headquartered?
Japan
What type of organization is your solution team?
Nonprofit
Film your elevator pitch.
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What specific problem are you solving?
Vaccine hesitancy has significantly undermined immunization efforts in the Philippines, particularly following the 2017 Dengvaxia® controversy and during the COVID-19 pandemic. Confidence in vaccines among Filipino parents plummeted from 82% in 2015 to 21% in 2018, contributing to outbreaks of measles, polio, and low COVID-19 uptake. This issue is especially acute in rural areas, where limited access to reliable health information, lower education, and religious concerns intersect. Despite targeted campaigns, a nuanced understanding of behavioral risk factors driving hesitancy remains limited. We aim to bridge this gap by identifying the complex, evolving drivers of hesitancy among caregivers of children under two years old in Pampanga and other underserved communities. Using both quantitative (VHS survey) and qualitative methods, we will collect localized behavioral data, analyze sociodemographic influences, and distinguish rural-urban differences. The insights generated will serve to inform community-tailored interventions, boost vaccine trust, and help prevent future outbreaks of preventable diseases.
What is your solution?
Our solution is an AI-powered, data-driven behavioral health tool that maps vaccine hesitancy at the community level. Built upon validated WHO SAGE Vaccine Hesitancy Scale data collected from Filipino caregivers, the platform uses machine learning to identify behavioral patterns and sociodemographic correlations with hesitancy. It integrates survey inputs from rural and urban caregivers with real-time media sentiment analysis and local health access indicators to generate vaccine confidence risk profiles. These profiles can inform policymakers and health workers on where and how to intervene most effectively. AI4Trust allows NGOs, local governments, and clinics to visualize hotspot areas of concern, identify the root causes of low uptake, and deploy targeted, culturally sensitive messaging or services. The platform is designed to be mobile-accessible, low-bandwidth, and adaptable to other LMIC settings. Unlike traditional health mapping, our system combines grassroots behavioral research with automated, scalable analytics—building a more actionable, human-centered approach to vaccine delivery.
Who does your solution serve, and in what ways will the solution impact their lives?
We serve mothers and primary caregivers of children under two in underserved rural and peri-urban areas of the Philippines, where mistrust of vaccines remains alarmingly high. These caregivers are often women from low-income households with limited access to health information, transportation, or trusted providers. Many are influenced by community elders, social media misinformation, or religious beliefs that discourage immunization. Our solution directly empowers these caregivers by integrating their voices and lived experiences into data-driven health planning. By highlighting their concerns—whether around safety, access, or trust in institutions—our tool enables health professionals to tailor interventions to local needs. It also supports community health workers by providing actionable insights into which areas need education, service expansion, or media outreach. Ultimately, the goal is to restore vaccine confidence, increase immunization rates, and protect the next generation from preventable diseases, while creating a scalable model for other LMICs facing similar post-crisis vaccine mistrust.
