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淋巴丝虫病——被忽视的热带病数据库管理系统。

Data base management system for lymphatic filariasis--a neglected tropical disease.

机构信息

Biology Division, CSIR-Indian Institute of Chemical Technology, Hyderabad, India.

出版信息

PLoS One. 2012;7(7):e39970. doi: 10.1371/journal.pone.0039970. Epub 2012 Jul 5.

DOI:10.1371/journal.pone.0039970
PMID:22792200
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3390335/
Abstract

BACKGROUND

Researchers working in the area of Public Health are being confronted with large volumes of data on various aspects of entomology and epidemiology. To obtain the relevant information out of these data requires particular database management system. In this paper, we have described about the usages of our developed database on lymphatic filariasis.

METHODS

This database application is developed using Model View Controller (MVC) architecture, with MySQL as database and a web based interface. We have collected and incorporated the data on filariasis in the database from Karimnagar, Chittoor, East and West Godavari districts of Andhra Pradesh, India.

CONCLUSION

The importance of this database is to store the collected data, retrieve the information and produce various combinational reports on filarial aspects which in turn will help the public health officials to understand the burden of disease in a particular locality. This information is likely to have an imperative role on decision making for effective control of filarial disease and integrated vector management operations.

摘要

背景

从事公共卫生领域研究的人员面临着大量有关昆虫学和流行病学各个方面的数据。要从这些数据中获取相关信息，需要特定的数据库管理系统。本文介绍了我们开发的丝虫病数据库的应用情况。

方法

该数据库应用程序采用模型视图控制器（MVC）架构开发，使用 MySQL 作为数据库和基于 Web 的界面。我们从印度安得拉邦的卡林加纳、奇托尔、东高止和西高止地区收集并整合了丝虫病数据。

结论

该数据库的重要性在于存储收集的数据、检索信息并生成关于丝虫病方面的各种组合报告，这反过来将帮助公共卫生官员了解特定地区的疾病负担。这些信息对于决策有效控制丝虫病和综合病媒管理行动具有重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b1/3390335/31db59677f84/pone.0039970.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b1/3390335/c420322700e6/pone.0039970.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b1/3390335/cc17cc0c05d0/pone.0039970.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b1/3390335/782a9f04c343/pone.0039970.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b1/3390335/c42e95d14779/pone.0039970.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b1/3390335/31db59677f84/pone.0039970.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b1/3390335/c420322700e6/pone.0039970.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b1/3390335/cc17cc0c05d0/pone.0039970.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b1/3390335/782a9f04c343/pone.0039970.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b1/3390335/c42e95d14779/pone.0039970.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b1/3390335/31db59677f84/pone.0039970.g005.jpg

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