Abstract
A model, using stochastic processes, is developed to estimate some epidemiological parameters of malaria in a homogeneous population from longitudinal data. Assessments of transition probabilities from one state of health to the other are made taking "lost to follow-up" as a competing risk. The model is based on the assumptions that individuals are transferred at constant rate between states, and only one transition is possible between two consecutive surveys. It shows a good fit to the observed data; the model is simple to understand and can easily be used if computer facilities are not available.
Full text
PDF
Selected References
These references are in PubMed. This may not be the complete list of references from this article.
- Bekessy A., Molineaux L., Storey J. Estimation of incidence and recovery rates of Plasmodium falciparum parasitaemia from longitudinal data. Bull World Health Organ. 1976;54(6):685–693. [PMC free article] [PubMed] [Google Scholar]
- FIX E., NEYMAN J. A simple stochastic model of recovery, relapse, death and loss of patients. Hum Biol. 1951 Sep;23(3):205–241. [PubMed] [Google Scholar]
- Verma B. L., Ray S. K., Srivastava R. N. Stochastic approach to the estimation of infective force and malaria parasite incidence rate in infants from longitudinal data. J Commun Dis. 1980 Sep;12(3):118–125. [PubMed] [Google Scholar]