Colloquium by Dr. Kamrujjaman

January 19, 2023 - 3:30 PM to 4:30 PM
CHHS 128
Dr. Kamrujjaman from the University of Dhaka, Bangladesh, will give a talk on Jan 19 (Thursday) at 3:30 pm in CHHS 128. The title and abstract of the talk are given below.
 
TitleCommunicable and non-communicable disease modeling 
AbstractFrom the first century to tomorrow, habitat loss, degradation, war-hunting, climate change, deforestation, industrialization, and disturbance of nature are alarming and significant threats to the human population. Every moment researchers face a new challenge of disease outbreak, including the pandemic of various bacterial and viruses menace. Besides maintaining health precautions, vaccination has been the only prevention from all major pandemics as an alternative to medication. However, no clinically proven 100% effective vaccine has been developed for many disorders, like HIV, Influenza, Malaria, Dengue, Diphtheria, etc. At this stage, to withhold the debris of multiple pandemics, communicable and non-communicable diseases, experts need to know the impact of the vaccine efficacy rate’s threshold, development of new vaccines, and therapeutic for successful control to protect the threats to human life. In this study, several mathematical models have been presented on the importance of diseased dynamics, vaccination efficiency rate for COVID-19 with forecasting, data-driven experiments, diffusion of disease, and their controlling strategies. Mosquito species Aedes aegypti serves as a vector for the propagation of the Dengue Virus (DENV), which causes Dengue fever. It has been a difficulty for public health experts to deal with since its inception, as it demonstrates intense outbreaks at specific times of the year. The goal of this phase is to use the vector host model to study the disease’s population dynamics in the vector (Aedes aegypti) and host (Homo sapiens) populations, as well as to calculate the disease’s basic reproduction number (BRN) using an improved algorithm for linear operator method, and numerically project our findings using real-world data of Bangladesh. Finally, we consider the dynamics of vector-host models together with stochastic behavior. The proposed vector-host models illustrate the malaria transmission model along with sensitivity analysis. Furthermore, the present study elaborates on the seasonal variability and calculates the probability of disease outbreaks. The effects of different parameters on the compartments are shown in detail. Our findings highlight the role of the disease outbreak based on the sensitivity analysis and the basic reproduction number. In the future, such analysis can help decision-makers understand the impact of various parameters to prevent such disease outbreaks.