Detecting Dental Epidemics.
Abstract
Dental diseases are typically regarded as if they were noncommunicable. For this reason, training in methods appropriate to the analysis of classical epidemics is not common during dental education. Recent emphasis on the control of cross contamination potentials would seem to enhance the importance of epidemiological monitoring of disease outbreaks. Monitoring allows for the identification of unusual clustering and perhaps eventually to the determination of causative agents. The purpose of this paper is to describe efficient methods for the statistical analysis of continuous time distributions of dental events. A single data example is chosen but the methods could apply in a variety of situations. The following data could conceivably represent post- surgical complications following removal of third molars, periapical infections following a first phase of endodontic treatment, and so forth. (KT)
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1989
- Accession Number
- ADA212751
Entities
People
- J. S. Arthur
- J. W. Rodden
- M. E. Cohen
- R. G. Burcal