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The Mandsaur Model: A Blueprint for Scaling Up India's HPV Vaccination Drive?

A district in Madhya Pradesh reports 100% coverage in its HPV vaccination drive by using data analytics and behavioural science. We explain the model, its significance for India’s national cervical cancer campaign, and the challenges in replicating it.

July 3, 20267 min read

The Main Explanatory: Deconstructing the Mandsaur Strategy

The Mandsaur district's approach to the national HPV vaccination campaign has gained attention for its rapid and comprehensive execution. By achieving its target in a short span, it offers a potential template for other districts facing similar challenges of data gaps, logistical hurdles, and community resistance.

### What is the public health challenge being addressed?

India faces a disproportionately high burden of cervical cancer, accounting for nearly a quarter of the global caseload. Official estimates indicate over 1.2 lakh new cases and approximately 80,000 deaths annually (Source: The Hindu, citing public health data). The scientific consensus is that nearly 95% of these cases are caused by persistent infection with high-risk strains of HPV, making cervical cancer a largely preventable disease.

The success of any large-scale vaccination programme hinges on overcoming significant ground-level barriers. These include low public awareness, social stigma surrounding sexual health, and vaccine hesitancy, which is often fuelled by misinformation about side effects like infertility. The Mandsaur model was designed to systematically address these execution challenges.

### What is the Mandsaur Model's core strategy?

The Mandsaur administration, led by the District Magistrate, identified the primary grassroots challenge not as vaccine hesitancy alone, but as “data invisibility.” The model’s core strategy was to first make every eligible girl visible to the health system and then deploy a data-driven, decentralised implementation plan. The administration began by targeting the most vulnerable and hardest-to-reach populations first, including girls from the Banchhada community, nomadic tribes, urban slums, and school dropouts.

To achieve this, it converged multiple government databases—the Rashtriya Bal Swasthya Karyakram (RBSK), Madhya Pradesh's SAMAGRA social security platform, and the Ladli Laxmi Yojana. By cross-referencing these fragmented records using unique identifiers, officials created village-level “Master Line Lists.” According to Aditi Garg, the District Magistrate of Mandsaur, this process transformed scattered data into “actionable intelligence.” Door-to-door surveys subsequently verified these lists, ensuring that girls who had dropped out of school or were otherwise missed by official records were included.

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