Mathematical Biology emphasizes on mathematical modeling, with biology the sole application area. Mathematical Biology is the most exciting modern application of mathematics and it is first growing. The use of mathematics in biology is inescapable because nowadays biology becomes more quantitative. The better models show how a process works and then predict what may follow. If these predictions are not already obvious to the biologists and the predictions turn out to be right, then the mathematicians would be the main key persons to the biologists.
In particular, mathematical modeling (and analysis) plays a major role in epidemiology in helping to address the various public health concern, by providing deeper qualitative insights into the underlying mechanisms for the spread of infectious diseases. Modeling also allows for the theoretical assessment of the potential impact of intervention strategies (both pharmaceutical and non-pharmaceutical) for controlling or mitigating, the impact of the disease in a population.
The interactive courses or lectures will be focused on mainly foundational topics in Mathematical Biology including population modeling, infectious disease modeling, genetics and evolution, in-host dynamics, optimal control, statistics in epidemiology.
In addition to these lectures, participants will develop novel research collaborations in-group projects aimed at biological modeling; course instructors will act as mentors and organizers may lead these research projects. The results of the collaborative research projects will be expected to present during the poster sessions, and/or as a research talk in any International Conference on Mathematics Applications, organized by either the Bangladesh Mathematical Society or any other mathematics/biology-related organization at home and abroad in future.
Registration Deadline for CIMPA International Participants: January 02, 2022
Registration Deadline for CIMPA Local Participants: February 15, 2022
Registration Link for International Participants: https://www.cimpa.info/en/node/40
Registration Link for Local Participants: https://forms.gle/cMWG58v56Q3wvpJS6