Many countries have introduced policies and programs to advance cervical cancer prevention, but burden remains high. This project aims to (A) collect primary (qualitative and quantitative) and secondary (quantitative) data about cervical cancer prevention at multiple levels; and use these data in (B) multi-level modeling to identify what is most strongly associated with cervical cancer prevention, and (C) agent-based models to explore increasing population-level coverage of recommended cervical cancer prevention tools. Kenya and Malawi were selected for this study due to their high cervical cancer burden, and different approaches to implementing their national cervical cancer prevention and control programs. To our knowledge, this would be the first large-scale study on this topic. The project will leverage research partnerships between NYU and highly experienced research partners.
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