Early Detection of Public Health Threats from Social Media Data R package episomer version 3.0.32 It allows you to automatically monitor trends of social media messages by time, place and topic aiming at detecting public health threats early through the detection of signals (i.e., an unusual increase in the number of messages per time, topic and location). It was designed to focus on infectious diseases, and it can be extended to all hazards or other fields of study by modifying the topics and keywords. More information on the original package 'epitweetr' is available in the peer-review publication Espinosa et al. (2022) <doi:10.2807/1560-7917.ES.2022.27.39.2200177>. Software Imports: dplyr, curl, DT, emayili, future, httr, htmltools, jsonlite, keyring, ggplot2, janitor, magrittr, parallel, plotly, processx, readxl, rlang, rmarkdown, rnaturalearthdata, openxlsx, shiny, stringr, stats, tibble, tools, utils, xtable, httr2, lubridate, sf, cli Suggests: knitr, taskscheduleR, testthat (>= 3.0.0) Laura Espinosa <laura.espinosa@ecdc.europa.eu> Comprehensive R Archive Network (CRAN) Laura Espinosa [aut, fnd, cre] (ORCID: <https://orcid.org/0000-0003-0748-9657>, Project manager, author of the design and concept of the package, and package maintainer), Francisco Orchard [aut, ctr] (ORCID: <https://orcid.org/0000-0001-5793-3301>, Author of the package and original code), Gianfranco Spiteri [ctb, fnd], Ariana Wijermans [ctb] (Contributor to the design and concept of the original version of the package), Thomas Mollet [ctb] (Contributor to the design and concept of the original version of the package), Adrian Prodan [ctb], Martin Norling [ctb], Enrique Delgado [ctb], Thomas Czernichow [ctb], Maria Prieto Gonzalez [ctb], Esther Kissling [ctb], Michael Höhle [ctb], Yohann Mansiaux [ctb] EUPL 2026-03-18 application/tgz https://CRAN.R-project.org/package=episomer doi:10.32614/CRAN.package.episomer