Remove trailing spaces

Epidemiology.md

@@ -195,8 +195,8 @@ task view, which has a dedicated section on
   cross-sectional surveys, and for calibrating tests for recent infection.
   Implements and extends the method of
   [Kassanjee et al. (2012)](https://doi.org/10.1097/EDE.0b013e3182576c07).
-- `r pkg("epiCo")`: Tools for visualization and characterization of 
-  vector-borne disease outbreaks, with a specific focus on the Colombian 
+- `r pkg("epiCo")`: Tools for visualization and characterization of
+  vector-borne disease outbreaks, with a specific focus on the Colombian
   context.
 - `r pkg("sivirep")`: Automated reports for the analysis of surveillance data
   from the SIVIGILA (Sistema Nacional de Vigilancia en Salud Pública) in 
@@ -227,7 +227,7 @@ task view, which has a dedicated section on
   simulations.
 - `r pkg("epiworldR")` and its Shiny interface `r pkg("epiworldRShiny")`: A
   framework for agent-based modelling with a C++ backend for high performance.
-  
+
 #### Digital Epidemiology
 
 - `r pkg("argo")`: Augmented Regression with General Online data (ARGO) for
@@ -408,11 +408,11 @@ task view, which has a dedicated section on
 
 - `r pkg("vaccineff")`: Tools for estimating vaccine effectiveness and related
   metrics.
-- `r pkg("excessmort")`: Implementation of method for estimating excess 
-  mortality and other health related outcomes from weekly or daily count data 
-  described in [Acosta and Irizarry 
+- `r pkg("excessmort")`: Implementation of method for estimating excess
+  mortality and other health related outcomes from weekly or daily count data
+  described in [Acosta and Irizarry
   (2021)](https://doi.org/10.1097/ede.0000000000001445).
-  
+
 ### Plant epidemiology
 
 - `r pkg("epiphy")`: A toolbox to analyze plant disease epidemics. It provides
@@ -674,8 +674,8 @@ COVID-19 section.
 - `r pkg("epiparameter")` and `r pkg("epiparameterDB")`: a harmonized database
   and standardized tools to manipulate published epidemiological parameters
   (serial interval, generation time, etc.) for a number of diseases.
-- `r pkg("hmsidwR")`: A collection of datasets and supporting functions 
-  accompanying [Health Metrics and the Spread of Infectious Diseases by Federica 
+- `r pkg("hmsidwR")`: A collection of datasets and supporting functions
+  accompanying [Health Metrics and the Spread of Infectious Diseases by Federica
   Gazzelloni (2024)](https://doi.org/10.5281%2Fzenodo.10818338).
 
 ## Links