Abstract
Epidemiological modeling includes handling disease transmission data that originated from various processes influencing the given disease transmission. The nature of these data is highly diverse, not perfectly reliable, and they are complex with respect to the underlying data generation process. The more complex the data are, the less the application of classical statistical methods can be used for analysis to reveal critical information that is hidden. This study focuses on introducing mathematical tools that are powerful in analyzing time-dependent disease transmission data specifically related to dengue outbreaks. These dengue cases are processed with respect to external variables in a local context to identify any time-dependent relationships.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
