Introduction In today’s complex and dynamic world, understanding the stability and fragility of systems and users is crucial for ensuring resilience and mitigating potential risks. Resilience capacity and vulnerability index are important in measuring the ability of systems and users to withstand and recover from disruptions. Resilience Capacity Resilience capacity refers to the ability of systems and users to absorb and adapt to disturbances, maintaining their functionality and performance. Resilience capacity has three components (Fig.

Introduction The Dyn4cast function was launched purposely to facilitate fast and easy forecast of COVID-19 cases in Nigeria. It was converted to a package and the development version of the package was launched on the 17th of February, 2021 with a single function DynamicForecast. The tenet of this package is to present functions that are easy to implement and use. Over the last five years, additions continue to come up as the need arises and today, there are more than 10 functions that are up mostly in one line of codes.

Introduction This blog is about the improved function, quicksummary in the Dyn4cast package. The function provides quick overview of data and particularly outputting five different means. Observational study involves procuring large mass of data for analysis and modeling. So, there is always need to have an overview of the data to decide on the appropriate analysis to be undertaken. This is where this function is unique because five different means are computed simultaneously, in spite of the one line code arguments.