Cholera hotspots and surveillance constraints contributing to recurrent epidemics in Tanzania
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...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | English |
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2020
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| Online Access: | https://hdl.handle.net/10356/142592 |
| _version_ | 1826122153329688576 |
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| author | Hounmanou, Yaovi Mahuton Gildas Mølbak, Kåre Kähler, Jonas Mdegela, Robinson Hammerthon Olsen, John Elmerdahl Dalsgaard, Anders |
| author2 | School of Chemical and Biomedical Engineering |
| author_facet | School of Chemical and Biomedical Engineering Hounmanou, Yaovi Mahuton Gildas Mølbak, Kåre Kähler, Jonas Mdegela, Robinson Hammerthon Olsen, John Elmerdahl Dalsgaard, Anders |
| author_sort | Hounmanou, Yaovi Mahuton Gildas |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T05:43:50Z |
| format | Journal Article |
| id | ntu-10356/142592 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:43:50Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1425922023-12-29T06:49:46Z Cholera hotspots and surveillance constraints contributing to recurrent epidemics in Tanzania Hounmanou, Yaovi Mahuton Gildas Mølbak, Kåre Kähler, Jonas Mdegela, Robinson Hammerthon Olsen, John Elmerdahl Dalsgaard, Anders School of Chemical and Biomedical Engineering Engineering::Chemical engineering Cholera Tanzania 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. Published version 2020-06-25T03:17:30Z 2020-06-25T03:17:30Z 2019 Journal Article 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 1756-0500 https://hdl.handle.net/10356/142592 10.1186/s13104-019-4731-0 31639037 2-s2.0-85073740362 1 12 en BMC Research Notes © 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. application/pdf |
| spellingShingle | Engineering::Chemical engineering Cholera Tanzania Hounmanou, Yaovi Mahuton Gildas Mølbak, Kåre Kähler, Jonas Mdegela, Robinson Hammerthon Olsen, John Elmerdahl Dalsgaard, Anders Cholera hotspots and surveillance constraints contributing to recurrent epidemics in Tanzania |
| title | Cholera hotspots and surveillance constraints contributing to recurrent epidemics in Tanzania |
| title_full | Cholera hotspots and surveillance constraints contributing to recurrent epidemics in Tanzania |
| title_fullStr | Cholera hotspots and surveillance constraints contributing to recurrent epidemics in Tanzania |
| title_full_unstemmed | Cholera hotspots and surveillance constraints contributing to recurrent epidemics in Tanzania |
| title_short | Cholera hotspots and surveillance constraints contributing to recurrent epidemics in Tanzania |
| title_sort | cholera hotspots and surveillance constraints contributing to recurrent epidemics in tanzania |
| topic | Engineering::Chemical engineering Cholera Tanzania |
| url | https://hdl.handle.net/10356/142592 |
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