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Nationwide school malaria parasitaemia survey in public primary schools, the United Republic of Tanzania
BACKGROUND: A nationwide, school, malaria survey was implemented to assess the risk factors of malaria prevalence and bed net use among primary school children in mainland Tanzania. This allowed the mapping of malaria prevalence at council level and assessment of malaria risk factors among school ch...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6280377/ https://www.ncbi.nlm.nih.gov/pubmed/30518365 http://dx.doi.org/10.1186/s12936-018-2601-1 |
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author | Chacky, Frank Runge, Manuela Rumisha, Susan F. Machafuko, Pendael Chaki, Prosper Massaga, Julius J. Mohamed, Ally Pothin, Emilie Molteni, Fabrizio Snow, Robert W. Lengeler, Christian Mandike, Renata |
author_facet | Chacky, Frank Runge, Manuela Rumisha, Susan F. Machafuko, Pendael Chaki, Prosper Massaga, Julius J. Mohamed, Ally Pothin, Emilie Molteni, Fabrizio Snow, Robert W. Lengeler, Christian Mandike, Renata |
author_sort | Chacky, Frank |
collection | PubMed |
description | BACKGROUND: A nationwide, school, malaria survey was implemented to assess the risk factors of malaria prevalence and bed net use among primary school children in mainland Tanzania. This allowed the mapping of malaria prevalence at council level and assessment of malaria risk factors among school children. METHODS: A cross-sectional, school, malaria parasitaemia survey was conducted in 25 regions, 166 councils and 357 schools in three phases: (1) August to September 2014; (2) May 2015; and, (3) October 2015. Children were tested for malaria parasites using rapid diagnostic tests and were interviewed about household information, parents’ education, bed net indicators as well as recent history of fever. Multilevel mixed effects logistic regression models were fitted to estimate odds ratios of risk factors for malaria infection and for bed net use while adjusting for school effect. RESULTS: In total, 49,113 children were interviewed and tested for malaria infection. The overall prevalence of malaria was 21.6%, ranging from < 0.1 to 53% among regions and from 0 to 76.4% among councils. The malaria prevalence was below 5% in 62 of the 166 councils and above 50% in 18 councils and between 5 and 50% in the other councils. The variation of malaria prevalence between schools was greatest in regions with a high mean prevalence, while the variation was marked by a few outlying schools in regions with a low mean prevalence. Overall, 70% of the children reported using mosquito nets, with the highest percentage observed among educated parents (80.7%), low land areas (82.7%) and those living in urban areas (82.2%). CONCLUSIONS: The observed prevalence among school children showed marked variation at regional and sub-regional levels across the country. Findings of this survey are useful for updating the malaria epidemiological profile and for stratification of malaria transmission by region, council and age groups, which is essential for guiding resource allocation, evaluation and prioritization of malaria interventions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-018-2601-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6280377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62803772018-12-10 Nationwide school malaria parasitaemia survey in public primary schools, the United Republic of Tanzania Chacky, Frank Runge, Manuela Rumisha, Susan F. Machafuko, Pendael Chaki, Prosper Massaga, Julius J. Mohamed, Ally Pothin, Emilie Molteni, Fabrizio Snow, Robert W. Lengeler, Christian Mandike, Renata Malar J Research BACKGROUND: A nationwide, school, malaria survey was implemented to assess the risk factors of malaria prevalence and bed net use among primary school children in mainland Tanzania. This allowed the mapping of malaria prevalence at council level and assessment of malaria risk factors among school children. METHODS: A cross-sectional, school, malaria parasitaemia survey was conducted in 25 regions, 166 councils and 357 schools in three phases: (1) August to September 2014; (2) May 2015; and, (3) October 2015. Children were tested for malaria parasites using rapid diagnostic tests and were interviewed about household information, parents’ education, bed net indicators as well as recent history of fever. Multilevel mixed effects logistic regression models were fitted to estimate odds ratios of risk factors for malaria infection and for bed net use while adjusting for school effect. RESULTS: In total, 49,113 children were interviewed and tested for malaria infection. The overall prevalence of malaria was 21.6%, ranging from < 0.1 to 53% among regions and from 0 to 76.4% among councils. The malaria prevalence was below 5% in 62 of the 166 councils and above 50% in 18 councils and between 5 and 50% in the other councils. The variation of malaria prevalence between schools was greatest in regions with a high mean prevalence, while the variation was marked by a few outlying schools in regions with a low mean prevalence. Overall, 70% of the children reported using mosquito nets, with the highest percentage observed among educated parents (80.7%), low land areas (82.7%) and those living in urban areas (82.2%). CONCLUSIONS: The observed prevalence among school children showed marked variation at regional and sub-regional levels across the country. Findings of this survey are useful for updating the malaria epidemiological profile and for stratification of malaria transmission by region, council and age groups, which is essential for guiding resource allocation, evaluation and prioritization of malaria interventions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-018-2601-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-05 /pmc/articles/PMC6280377/ /pubmed/30518365 http://dx.doi.org/10.1186/s12936-018-2601-1 Text en © The Author(s) 2018 Open AccessThis 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. |
spellingShingle | Research Chacky, Frank Runge, Manuela Rumisha, Susan F. Machafuko, Pendael Chaki, Prosper Massaga, Julius J. Mohamed, Ally Pothin, Emilie Molteni, Fabrizio Snow, Robert W. Lengeler, Christian Mandike, Renata Nationwide school malaria parasitaemia survey in public primary schools, the United Republic of Tanzania |
title | Nationwide school malaria parasitaemia survey in public primary schools, the United Republic of Tanzania |
title_full | Nationwide school malaria parasitaemia survey in public primary schools, the United Republic of Tanzania |
title_fullStr | Nationwide school malaria parasitaemia survey in public primary schools, the United Republic of Tanzania |
title_full_unstemmed | Nationwide school malaria parasitaemia survey in public primary schools, the United Republic of Tanzania |
title_short | Nationwide school malaria parasitaemia survey in public primary schools, the United Republic of Tanzania |
title_sort | nationwide school malaria parasitaemia survey in public primary schools, the united republic of tanzania |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6280377/ https://www.ncbi.nlm.nih.gov/pubmed/30518365 http://dx.doi.org/10.1186/s12936-018-2601-1 |
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