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Shiny Applications for Epidemiology

epiapps.com is a public hosted repository of useful statistical tools in the area of epidemiology. These applications are hosted and maintained by Fellows Statistics Inc.. To report an issue or bug, please create a GitHub issue on the repository.


Consensus Estimation

This tool assists in synthesizing multiple independent estimates of a quantity (e.g. population size or prevalence). Stakeholders may add additional information regarding the methodological quality of the studies and prior knowledge of the metric.

Details:

Authors: Ian E. Fellows
Github Repository: https://github.com/fellstat/combine_estimates

Multiple Source Capture Recapture

Implements user interfaces for log-linear models, Bayesian model averaging and Bayesian Dirichlet process mixture models.

Details:

Authors: Ian E. Fellows
Video Tutorial: https://www.youtube.com/watch?v=PgmyUnFlo5Y&feature=youtu.be
Manual: https://fellstat.github.io/shinyrecap/
Github Repository: https://github.com/fellstat/shinyrecap

Population Size Estimation Using Multiple Data Sources

Implements a user interface for an algorithm for presenting a Bayesian hierarchical model for estimating the sizes of local and national populations. The model incorporates multiple commonly used data sources including mapping data, surveys, interventions, capture-recapture data, estimates or guesstimates from organizations, and expert opinion.

Details:

Authors: Jacob Parsons using the algorithm developed by Le Bao, Adrian E. Raftery and Kyongwon Kim
CRAN Repository: https://CRAN.R-project.org/package=SizeEstimation
Reference: Bao, L., Raftery, A. E., & Reddy, A. (2015). Estimating the sizes of populations at risk of HIV infection from multiple data sources using a Bayesian hierarchical model. Statistics and its Interface, 8(2), 125-136.

Incidence Estimation In Cross-sectional Surveys Using Testing History

Utilizes crosssectional survey data containing information on participants' testing history and diagnosis to estimate incidence.

Details:

Authors: Ian E. Fellows
Video Tutorial: https://www.youtube.com/watch?v=YVPcLLs9zxc&t=08s
Manual: https://github.com/fellstat/TestingHistoryIncidence/wiki/Shiny-App-Documentation
Github Repository: https://github.com/fellstat/TestingHistoryIncidence
Example Data: https://raw.githubusercontent.com/fellstat/TestingHistoryIncidence/master/inst/shiny_ui/tstdat.csv