Comparing different approaches of epidemiological modeling
Karong'oi, Ann Njambi (2018)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2018052924942
https://urn.fi/URN:NBN:fi-fe2018052924942
Tiivistelmä
Disease prevention, control and eradication has remained a major challenge for centuries. Epidemiological modeling is a key and powerful tool that plays a role in establishing integrated control methods that can be applied to lessen the disease burden and reduce mortality rates especially during epidemics. Different kind of epidemiological models are developed depending on the dynamics of the disease and are mostly compartmental models.
This thesis aims to compare different modeling approaches that can be applied to epidemiological models to yield results that are close to reality. In particular, we concentrate on the discrete modeling rather than the classical ODE based modeling that has some drawbacks that makes it inefficient in some cases of disease modeling. We also double check if the waiting times in the model compartments can be said to come from any other distribution rather than the exponential distribution.
This thesis aims to compare different modeling approaches that can be applied to epidemiological models to yield results that are close to reality. In particular, we concentrate on the discrete modeling rather than the classical ODE based modeling that has some drawbacks that makes it inefficient in some cases of disease modeling. We also double check if the waiting times in the model compartments can be said to come from any other distribution rather than the exponential distribution.