Estimation of foot and mouth disease transmission parameters, using outbreak data and transmission experiments.

Quantification of foot-and-mouth disease virus transmission rates using published data.

Foot-and-mouth disease is an extremely infectious and devastating disease affecting all species of cloven-hoofed animals. To understand the epidemiology of the causative virus and predict viral transmission dynamics, quantified transmission parameters are essential to decision makers and modellers alike. However, such quantified parameters are scarcely available, and recently a series of animal...

Integrating genetic and epidemiological data to determine transmission pathways of foot-and-mouth disease virus.

Estimating detailed transmission trees that reflect the relationships between infected individuals or populations during a disease outbreak often provides valuable insights into both the nature of disease transmission and the overall dynamics of the underlying epidemiological process. These trees may be based on epidemiological data that relate to the timing of infection and infectiousness, or ...

Optimal Control of Hand, Foot and Mouth Disease Model using Variational Iteration Method

In this paper, the optimal control of transmission dynamics of hand, foot and mouth disease (HFMD), formulated by a compartmental deterministic SEIPR (Susceptible-Incubation (Exposed)- Infected - Post infection virus shedding - Recovered) model with vaccination and treatment as control parameters is considered. The objective function is based on the combination of minimizing the number of infec...

The outbreak of Foot-and- Mouth disease (ASIA 1 Type) in 1973 in Iran

The construction and analysis of epidemic trees with reference to the 2001 UK foot-and-mouth outbreak.

The case-reproduction ratio for the spread of an infectious disease is a critically important concept for understanding dynamics of epidemics and for evaluating impact of control measures on spread of infection. Reliable estimation of this ratio is a problem central to epidemiology and is most often accomplished by fitting dynamic models to data and estimating combinations of parameters that eq...