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Prevalence and associated determinants of malaria parasites among Kenyan children

BACKGROUND: Approximately 80% of deaths attributed to malaria worldwide occurred mainly in Africa in 2015. Kenya is one of the major malaria endemic countries, making malaria the leading public health concern in this country. This study intended to document the prevalence of malaria and determine as...

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Autores principales: Sultana, Marufa, Sheikh, Nurnabi, Mahumud, Rashidul Alam, Jahir, Tania, Islam, Ziaul, Sarker, Abdur Razzaque
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651573/
https://www.ncbi.nlm.nih.gov/pubmed/29085254
http://dx.doi.org/10.1186/s41182-017-0066-5
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author Sultana, Marufa
Sheikh, Nurnabi
Mahumud, Rashidul Alam
Jahir, Tania
Islam, Ziaul
Sarker, Abdur Razzaque
author_facet Sultana, Marufa
Sheikh, Nurnabi
Mahumud, Rashidul Alam
Jahir, Tania
Islam, Ziaul
Sarker, Abdur Razzaque
author_sort Sultana, Marufa
collection PubMed
description BACKGROUND: Approximately 80% of deaths attributed to malaria worldwide occurred mainly in Africa in 2015. Kenya is one of the major malaria endemic countries, making malaria the leading public health concern in this country. This study intended to document the prevalence of malaria and determine associated factors including socioeconomic status among children aged 6 months to 14 years in Kenya. METHODS: This study analyzed the secondary data extracted from the 2015 Kenya Malaria Indicator Survey (KMIS), a cross-sectional country representative survey. Associations of demographic, socioeconomic, community-based, and behavioral factors with the prevalence of malaria in children were analyzed using multivariable logistic regression analysis. RESULTS: Data from 7040 children aged 6 months to 14 years were analyzed. The prevalence of malaria showed an upward trend in terms of age, with the highest prevalence among children aged 11–14 years. Prevalence was also higher among rural children (10.16%) compared to urban children (2.93%), as well as poor children (11.05%) compared to rich children (3.23%). The likelihood of having malaria was higher among children aged 10–14 years (AOR = 4.47, 95% CI = 3.33, 6.02; P < 0.001) compared with children aged under 5 years. The presence of anemia (AOR = 3.52, 95% CI = 2.78, 4.45; P < 0.001), rural residence (AOR = 1.71, 95% CI = 1.31, 2.22; P < 0.001), lack of a hanging mosquito net (AOR = 2.38, 95% CI = 1.78, 3.19; P < 0.001), primary education level of the household head (AOR = 1.15, 95% CI = 1.08, 2.25; P < 0.05), and other factors, such as the household having electricity and access to media such as television or radio, were also associated with the likelihood of infection. CONCLUSION: This study demonstrated the need to focus on awareness programs to prevent malaria and to use existing knowledge in practice to control the malaria burden in Kenya. Furthermore, this study suggests that improving the information available through the mass media and introducing behavior change communication and intervention program specifically for those of poor socioeconomic status will help to reduce malaria cases.
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spelling pubmed-56515732017-10-30 Prevalence and associated determinants of malaria parasites among Kenyan children Sultana, Marufa Sheikh, Nurnabi Mahumud, Rashidul Alam Jahir, Tania Islam, Ziaul Sarker, Abdur Razzaque Trop Med Health Research BACKGROUND: Approximately 80% of deaths attributed to malaria worldwide occurred mainly in Africa in 2015. Kenya is one of the major malaria endemic countries, making malaria the leading public health concern in this country. This study intended to document the prevalence of malaria and determine associated factors including socioeconomic status among children aged 6 months to 14 years in Kenya. METHODS: This study analyzed the secondary data extracted from the 2015 Kenya Malaria Indicator Survey (KMIS), a cross-sectional country representative survey. Associations of demographic, socioeconomic, community-based, and behavioral factors with the prevalence of malaria in children were analyzed using multivariable logistic regression analysis. RESULTS: Data from 7040 children aged 6 months to 14 years were analyzed. The prevalence of malaria showed an upward trend in terms of age, with the highest prevalence among children aged 11–14 years. Prevalence was also higher among rural children (10.16%) compared to urban children (2.93%), as well as poor children (11.05%) compared to rich children (3.23%). The likelihood of having malaria was higher among children aged 10–14 years (AOR = 4.47, 95% CI = 3.33, 6.02; P < 0.001) compared with children aged under 5 years. The presence of anemia (AOR = 3.52, 95% CI = 2.78, 4.45; P < 0.001), rural residence (AOR = 1.71, 95% CI = 1.31, 2.22; P < 0.001), lack of a hanging mosquito net (AOR = 2.38, 95% CI = 1.78, 3.19; P < 0.001), primary education level of the household head (AOR = 1.15, 95% CI = 1.08, 2.25; P < 0.05), and other factors, such as the household having electricity and access to media such as television or radio, were also associated with the likelihood of infection. CONCLUSION: This study demonstrated the need to focus on awareness programs to prevent malaria and to use existing knowledge in practice to control the malaria burden in Kenya. Furthermore, this study suggests that improving the information available through the mass media and introducing behavior change communication and intervention program specifically for those of poor socioeconomic status will help to reduce malaria cases. BioMed Central 2017-10-23 /pmc/articles/PMC5651573/ /pubmed/29085254 http://dx.doi.org/10.1186/s41182-017-0066-5 Text en © The Author(s) 2017 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
Sultana, Marufa
Sheikh, Nurnabi
Mahumud, Rashidul Alam
Jahir, Tania
Islam, Ziaul
Sarker, Abdur Razzaque
Prevalence and associated determinants of malaria parasites among Kenyan children
title Prevalence and associated determinants of malaria parasites among Kenyan children
title_full Prevalence and associated determinants of malaria parasites among Kenyan children
title_fullStr Prevalence and associated determinants of malaria parasites among Kenyan children
title_full_unstemmed Prevalence and associated determinants of malaria parasites among Kenyan children
title_short Prevalence and associated determinants of malaria parasites among Kenyan children
title_sort prevalence and associated determinants of malaria parasites among kenyan children
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651573/
https://www.ncbi.nlm.nih.gov/pubmed/29085254
http://dx.doi.org/10.1186/s41182-017-0066-5
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