Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142592
Title: Cholera hotspots and surveillance constraints contributing to recurrent epidemics in Tanzania
Authors: Hounmanou, Yaovi Mahuton Gildas
Mølbak, Kåre
Kähler, Jonas
Mdegela, Robinson Hammerthon
Olsen, John Elmerdahl
Dalsgaard, Anders
Keywords: Engineering::Chemical engineering
Issue Date: 2019
Source: Hounmanou, Y. M. G., Mølbak, K., Kähler, J., Mdegela, R. H., Olsen, J. E., & Dalsgaard, A. (2019). Cholera hotspots and surveillance constraints contributing to recurrent epidemics in Tanzania. BMC Research Notes, 12(1), 664-. doi:10.1186/s13104-019-4731-0
Journal: BMC Research Notes
Abstract: Objective: We described the dynamics of cholera in Tanzania between 2007 and 2017 and assessed the weaknesses of the current surveillance system in providing necessary data in achieving the global roadmap to 2030 for cholera control. Results: The Poisson-based spatial scan identifed cholera hotspots in mainland Tanzania. A zero-infated Poisson regression investigated the relationship between the incidence of cholera and available demographic, socio-economic and climatic exposure variables. Four cholera hotspots were detected covering 17 regions, home to 28 million people, including the central regions and those surrounding the Lakes Victoria, Tanganyika and Nyaza. The risk of experiencing cholera in these regions was up to 2.9 times higher than elsewhere in the country. Regression analyses revealed that every 100 km of water perimeter in a region increased the cholera incidence by 1.5%. Due to the compilation of surveillance data at regional level rather than at district, we were unable to reliably identify any other signifcant risk factors and specifc hotspots. Cholera high-risk populations in Tanzania include those living near lakes and central regions. Successful surveillance require disaggregated data available weekly and at district levels in order to serve as data for action to support the roadmap for cholera control.
URI: https://hdl.handle.net/10356/142592
ISSN: 1756-0500
DOI: 10.1186/s13104-019-4731-0
Rights: © 2019 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/ publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCBE Journal Articles

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