A review of three years experience using email and videoconferencing for the delivery of post-acute burns care to children in Queensland

A virtual outpatient service has been established in Queensland for the delivery of post-acute burns care to children living in rural and remote areas of the state. The integration of telepaediatrics as a routine service has reduced the need for patient travel to the specialist burns unit situated in Brisbane. We have conducted 293 patient consultations over a period of 3 years. A retrospective review of our experience has shown that post-acute burns care can be delivered using videoconferencing, email and the telephone. Telepaediatric bums services have been valuable in two key areas. The first area involves a programme of routine specialist clinics via videoconference. The second area relates to ad-hoc patient consultations for collaborative management during acute presentations and at times of urgent clinical need. The families of patients have expressed a high degree of satisfaction with the service. Telepaediatric services have helped improve access to specialist services for people living in rural and remote communities throughout Queensland. (C) 2003 Elsevier Ltd and ISBI. All rights reserved.

Stochastic modelling of the invasion process of nematodes in fly larvae

Stochastic models based on Markov birth processes are constructed to describe the process of invasion of a fly larva by entomopathogenic nematodes. Various forms for the birth (invasion) rates are proposed. These models are then fitted to data sets describing the observed numbers of nematodes that have invaded a fly larval after a fixed period of time. Non-linear birthrates are required to achieve good fits to these data, with their precise form leading to different patterns of invasion being identified for three populations of nematodes considered. One of these (Nemasys) showed the greatest propensity for invasion. This form of modelling may be useful more generally for analysing data that show variation which is different from that expected from a binomial distribution.