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一个基于微型计算机的生命记录数据库,用于对各州和地方进行交互式图形评估。

A microcomputer-based vital records data base with interactive graphic assessment for states and localities.

作者信息

Wartenberg D, Agamennone V J, Ozonoff D, Berry R J

机构信息

Department of Environmental and Community Medicine, UMDNJ--Robert Wood Johnson Medical School, Piscataway 08854.

出版信息

Am J Public Health. 1989 Nov;79(11):1531-6. doi: 10.2105/ajph.79.11.1531.

Abstract

Vital records data bases describe large populations over long periods of time, yet their organization and size often preclude or discourage their use. We constructed a microcomputer-based data base of all singleton births in Massachusetts, 1975-84. The original data were stored in 700,000 records, each 174 bytes long, occupying a total of over 120 megabytes (MB). By removing redundant information and unique identifiers, and packing the data, we store 21 fields of this information in a 16-byte record resulting in a data base of 11.1 MB, a saving of over 90 percent of disk space. By using programs written expressly for this data base, we can display a birth weight frequency plot of the entire data set in under 65 seconds on an IBM-compatible PC-AT. Comparable assessments in SAS-PC took over 105 minutes and in main frame SAS on an AS-9000 took over 37 CPU seconds. Implementing similar systems for state registries on births, deaths, cancers, and birth defects potentially offers investigators easy access to vast stores of information and would enable public health officials to produce timely reports, initiate a variety of surveillance activities, and respond rapidly to residents' inquiries about clusters and anomalous disease patterns.

摘要

生命统计数据库描述了长时间内的大量人群,但它们的组织方式和规模常常阻碍或不利于人们使用。我们构建了一个基于微型计算机的数据库,涵盖了1975年至1984年马萨诸塞州所有单胎出生情况。原始数据存储在700,000条记录中,每条记录长174字节,总共占用超过120兆字节(MB)的空间。通过去除冗余信息和唯一标识符,并对数据进行压缩,我们将这些信息的21个字段存储在一个16字节的记录中,从而得到一个11.1 MB的数据库,节省了超过90%的磁盘空间。通过使用专门为这个数据库编写的程序,我们可以在一台IBM兼容的PC-AT上,在65秒内显示整个数据集的出生体重频率图。在SAS-PC中进行类似评估需要超过105分钟,而在AS-9000主机上使用主框架SAS进行评估需要超过37个CPU秒。为州出生、死亡、癌症和出生缺陷登记处实施类似系统,可能会让研究人员轻松访问大量信息,并使公共卫生官员能够及时生成报告、开展各种监测活动,并迅速回应居民对聚集性疾病和异常疾病模式的询问。

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