Modern infectious disease epidemiology makes heavy use of computational model–based approaches and a dynamical systems perspective. The importance of analyzing infectious diseases in such a way keeps increasing. However, infectious disease epidemiology is still often taught mainly from a medical and classical epidemiological study design (e.g., cohort, casecontrol) perspective. While textbooks ...

M uch of microbiological research on infectious agents is increasingly specialized and reductionist, viewing the host as a virtually static environment and thus sharply narrowing the context of the disease under study. We advocate an alternative quantitative approach that enables investigators to go beyond their reliance on conventional and somewhat simplified qualitative terms for describing e...

Brucellosis is an infectious bacterial zoonosis of public health and economic significance. In this paper, a mathematical model describing the propagation of bovine brucellosis within cattle population is formulated. Model analysis is carried out to obtain and establish the stability of the equilibrium points. A threshold parameter referred to as the basic reproduction number $mathcal{R}_{0}$ i...

background the lack of effective use of research evidence in policy-making is a major challenge in most low- and middle-income countries (lmics). there is need to package research data into effective policy tools that will help policy-makers to make evidence-informed policy regarding infectious diseases of poverty (idp). the objective of this study was to assess the usefulness of training works...

The development of vaccines revolutionized the methods controlling infectious diseases and has saved many lives. In this work, an SEIR epidemic model was designed to demonstrate impact vaccination on control diseases. shown possess positive solutions. disease-free equilibrium endemic were derived stability properties two equilibriums examined via theory nonlinear differential equation. An impor...