epi >> {mlspatial, WarnEpi}

Author: ercbk

qmd/epidemiology.qmd

@@ -19,6 +19,10 @@
     -   [{]{style="color: #990000"}[infectiousR](https://lightbluetitan.github.io/infectiousr/){style="color: #990000"}[}]{style="color: #990000"} - Interface to access real-time data on infectious diseases through the disease.sh API, a RESTful API offering global health statistics.
         -   Enables users to explore up-to-date information on disease outbreaks, vaccination progress, and surveillance metrics across countries, continents, and U.S. states.
         -   Includes a set of API-related functions to retrieve real-time statistics on COVID-19, influenza-like illnesses from the Centers for Disease Control and Prevention (CDC), and vaccination coverage worldwide.
+    -   [{]{style="color: #990000"}[mlspatial](https://cran.r-project.org/web/packages/mlspatial/index.html){style="color: #990000"}[}]{style="color: #990000"} - Provides tools for the integration, visualisation, and modelling of spatial epidemiological data
+        -   Enables users to import and pre-process shapefile and associated demographic or disease incidence data, generate richly annotated thematic maps, and apply predictive models, including Random Forest, 'XGBoost', and Support Vector Regression, to identify spatial patterns and risk factors.
+    -   [{]{style="color: #990000"}[WarnEpi](https://cran.r-project.org/web/packages/WarnEpi/index.html){style="color: #990000"}[}]{style="color: #990000"} - A Comprehensive Tool for Early Warning in Infectious Disease
+        -   Provides statistical tools for analyzing time-series monitoring data through three core methods: a) EWMA (Exponentially Weighted Moving Average) b) Modified-CUSUM (Modified Cumulative Sum) c) Adjusted-Serfling model
 -   Resources
     -   [The Epidemiologist R Handbook](https://epirhandbook.com/en/)
     -   [R4EPIs](https://r4epis.netlify.app/) - A project to develop standardized data cleaning, analysis and reporting tools to cover common types of outbreaks and population-based surveys that would be conducted in an MSF emergency response setting (automated outbreak templates)