Identification of plant viruses, and study of how they infect and spread are of a great value in preventing the diseases they cause. The information collected annually in various parts of the country through ELISA tests is too bulky and complicated for manual interpretation. A database has therefore been developed to store the information, and to enable rapid comparisons to be made between different regions, years and plants. Raw information obtained by ELISA, using a spectrophotometer, is stored in the database, along with supplementary information, e.g. time of testing, locality of collection, and type and other features of specimens. The results of data processing are stored in a separate logical "Yes/No" table (assessment of digital data is automatic). After the keyboarding of ELISA results, control values are separated (in the case of several controls, they are separated into groups which can be further dynamically recombined). All this information is then processed by an integrated analysis program, which creates a similar table of logical data based on the chosen controls. A further step in the data analysis is the ability to make complex queries. For example, it may be necessary to find connexions between the presence of a virus in an agricultural crop and soil type, or in weeds during any period in several regions simultaneously. Using the information contained in this database, it is possible to establish the risk of an epiphytotic developing, or to predict the behaviour of a virus in different plant communities, or to analyse possible ways of their spread and the effect of crop rotation as a whole. From a theoretical point of view it is interesting to uncover virus-vector-host-holder inter-connexions, and their inter-relations by indirect but statistically reliable techniques.