The 'R4EPIs' project <https://r4epi.github.io/sitrep/> seeks
    to provide a set of standardized tools for analysis of outbreak and
    survey data in humanitarian aid settings. This package currently
    provides standardized data dictionaries from Medecins Sans Frontieres
    Operational Centre Amsterdam for outbreak scenarios (Acute Jaundice
    Syndrome, Cholera, Diphtheria, Measles, Meningitis) and surveys
    (Retrospective mortality and access to care, Malnutrition, Vaccination
    coverage and Event Based Surveillance) - as described in the following
    <https://scienceportal.msf.org/assets/standardised-mortality-surveys?utm_source=chatgpt.com>.
    In addition, a data generator from these dictionaries is provided. It
    is also possible to read in any Open Data Kit format data dictionary.

Integrates methods for epidemiological analysis, modeling, and visualization, including functions for summary statistics, SIR (Susceptible-Infectious-Recovered) modeling, DALY (Disability-Adjusted Life Years) estimation, age standardization, diagnostic test evaluation, NLP (Natural Language Processing) keyword extraction, clinical trial power analysis, survival analysis, SNP (Single Nucleotide Polymorphism) association, and machine learning methods such as logistic regression, k-means clustering, Random Forest, and Support Vector Machine (SVM). Includes datasets for prevalence estimation, SIR modeling, genomic analysis, clinical trials, DALY, diagnostic tests, and survival analysis. Methods are based on Gelman et al. (2013) <doi:10.1201/b16018> and Wickham et al. (2019, ISBN:9781492052040>.

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.