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  "Title": "Digital Epidemiological Analysis and Visualization Tools",
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  "Description": "Integrates methods for epidemiological analysis, modeling,\nand visualization, including functions for summary statistics,\nSIR (Susceptible-Infectious-Recovered) modeling, DALY\n(Disability-Adjusted Life Years) estimation, age\nstandardization, diagnostic test evaluation, NLP (Natural\nLanguage Processing) keyword extraction, clinical trial power\nanalysis, survival analysis, SNP (Single Nucleotide\nPolymorphism) association, and machine learning methods such as\nlogistic regression, k-means clustering, Random Forest, and\nSupport Vector Machine (SVM). Includes datasets for prevalence\nestimation, SIR modeling, genomic analysis, clinical trials,\nDALY, diagnostic tests, and survival analysis. Methods are\nbased on Gelman et al. (2013) <doi:10.1201/b16018> and Wickham\net al. (2019, ISBN:9781492052040>.",
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