A collection of tools for representing epidemiological contact data, composed of case line lists and contacts between cases. Also contains procedures for data handling, interactive graphics, and statistics.

Routines for epidemiological contact tracing
    and visualisation of network of contacts.

Creates simple or stacked epidemic curves for hourly, daily, weekly or monthly outcome data.

The Economic Policy Institute (<https://www.epi.org/>) provides
    researchers, media, and the public with easily accessible, up-to-date, and
    comprehensive historical data on the American labor force. It is compiled
    from Economic Policy Institute analysis of government data sources. Use
    it to research wages, inequality, and other economic indicators over time
    and among demographic groups. Data is usually updated monthly.

The Delphi 'Epidata' API provides real-time access to
    epidemiological surveillance data for influenza, 'COVID-19', and other
    diseases for the USA at various geographical resolutions, both from
    official government sources such as the Center for Disease Control
    (CDC) and Google Trends and private partners such as Facebook and
    Change 'Healthcare'. It is built and maintained by the Carnegie Mellon
    University Delphi research group. To cite this API: David C. Farrow,
    Logan C. Brooks, Aaron 'Rumack', Ryan J. 'Tibshirani', 'Roni'
    'Rosenfeld' (2015). Delphi 'Epidata' API.
    <https://github.com/cmu-delphi/delphi-epidata>.

Package for data exploration and result presentation. Full 'epicalc' package with data management functions is available at '<https://medipe.psu.ac.th/epicalc/>'.

Contains utilities and functions for the cleaning, processing and
    management of patient level public health data for surveillance
    and analysis held by the UK Health Security Agency, UKHSA.

Mathematical models of infectious diseases in humans and animals.
    Both, deterministic and stochastic models can be simulated and plotted.

Tools to quantify transmissibility throughout
    an epidemic from the analysis of time series of incidence as described in
    Cori et al. (2013) <doi:10.1093/aje/kwt133> and Wallinga and Teunis (2004) 
    <doi:10.1093/aje/kwh255>.