Abstract

Schistosomiasis remains a serious health problem in Africa. Although a strong, coordinated agenda for research on this disease has been in place for the last 50 years in Zanzibar, data storage, retrieval of survey data and management remain problem areas. We investigated the use of Google Earth (GE) in conjunction with a hand-held, global positioning system as a pilot project for managing schistosomiasis control. In this way, risk areas can be surveyed and followed up by visualizing both the distribution of human infections and that of the intermediate snail host together with environmental information. A platform with three spatial databases was created: i) Distribution of infected humans; ii) Distribution of the intermediate snail host in ponds (infected and not infected specimens); iii) Distribution of the intermediate snail host in streams (infected and non-infected specimens). The GE spatial database increased the efficiency of follow-up case treatment as well as snail control and contributed also to the discovery of previously unknown areas in need of snail control. We conclude that this platform is advantageous not only by being useful for management and visualization of spatial data, but also because it is easy to operate and available free of charge.

Details

Title
A Google Earth-based database management for schistosomiasis control in Zanzibar
Author
Ming-Zhen He; Li, Wei; Juma, Saleh; Kabole, Fatma; Da-Cheng, Xu; Xin-Yao, Wang; He, Jian; Jiang, Tao; Bergquist, Robert; Yang, Kun
Section
Original Articles
Publication year
2019
Publication date
May 2019
Publisher
PAGEPress Publications
ISSN
18271987
e-ISSN
19707096
Source type
Scholarly Journal
Language of publication
Italian; English
ProQuest document ID
2408285166
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.