Application of a Computerized General Purpose Information Management System (SELGEM) (SELf-GEnerating Master) to Medically Important Arthropods (Diptera: Culicidae).

Abstract

The Mosquito Information Management Project (MIMP), a collaborative venture between the U.S. Army Biosystematic Unit, WRAIR, and the Department of Entomology, Smithsonian Institution, was initiated in 1979 for the purpose of developing a computer-based systematic and ecological master file (data bank) of the National Museum Mosquito Collection. The approximately one million specimens with associated data, in the Smithsonian Institution, constitute the best mosquito collection in the world. The data management system (SELGEM) (SELf GEnerating Master) was adapted to meet the needs of MIMP. Submission of the data recorded on the collection forms to the Honeywell Series 60 Level 66/20 computer system is via the Nixdorf 6000/55 minicomputer data entry system. Input of the 1,939 collection records pertaining to the Albimanus Section of the subgenus Nyssorhynchus of Anopheles and all associated species has been completed. Also, about 1,100 and 540 collection forms.,of the project Mosquitoes of Middle America (MOMA), for Panama and Colombia respectively have been submitted to the computer. Six separate files have been established based on geographic groupings for the countries of Middle and South America for ease and economy in querying these files.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1981
Accession Number
ADA138298

Entities

People

  • T. L. Erwin

Organizations

  • Smithsonian Institution

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Arboviruses
  • Biomedical Research
  • Colombia
  • Computers
  • Costa Rica
  • Data Management
  • Databases
  • Ecology
  • Entomology
  • French Guiana
  • Information Exchange
  • Islands
  • Lesser Antilles
  • Maps
  • South America
  • Tropical Medicine

Readers

  • Clinical Trial Research.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Vector-Borne Disease and Entomology