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Our research developed multiple mathematical tools in estimating health access and disease prevalence, as well as various data analysis tools such as visualization, regression analysis, and statistical inference. Our group has elected to make much of the code available to others, for specific applications or to build upon in research. We believe that both the scientific community and the public health community will benefit from having access to this tools . We ask only that appropriate citations be made to acknowledge the work of the students and researchers that went into developing the original model. We welcome researchers to utilize our tools and appreciate any suggestion for improvement.
In this section we will divide the tools by subsections to make it easier to find a specific application (some will be listed under more than one category). We will also provide outputs resulting from various projects, e.g., maps that can be used to inform interventions.