Cargando…
A comparison of malaria prevalence, control and management strategies in irrigated and non-irrigated areas in eastern Kenya
BACKGROUND: This study was conducted in Bura irrigation scheme in Tana River County and the pastoral area in Ijara, Garissa County in the eastern Kenya to establish the knowledge, attitude and practices on malaria transmission, control and management, and determine malaria prevalence and the associa...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982001/ https://www.ncbi.nlm.nih.gov/pubmed/27515696 http://dx.doi.org/10.1186/s12936-016-1458-4 |
_version_ | 1782447691957010432 |
---|---|
author | Muriuki, John Muthii Kitala, Philip Muchemi, Gerald Njeru, Ian Karanja, Joan Bett, Bernard |
author_facet | Muriuki, John Muthii Kitala, Philip Muchemi, Gerald Njeru, Ian Karanja, Joan Bett, Bernard |
author_sort | Muriuki, John Muthii |
collection | PubMed |
description | BACKGROUND: This study was conducted in Bura irrigation scheme in Tana River County and the pastoral area in Ijara, Garissa County in the eastern Kenya to establish the knowledge, attitude and practices on malaria transmission, control and management, and determine malaria prevalence and the associated risk factors. METHODS: A cross sectional survey design that involved 493 randomly selected people from 334 households was used between November and December 2013. All the randomly selected people were screened for malaria parasites using rapid diagnostic test (RDT)—Carestart™ malaria HRP2 (pf) kit. A questionnaire was administered to determine potential risk factors and perceptions on malaria exposure within a period of 2 months prior to the survey. Two logistic regression models were fitted to the data; one used the RDT results while the other used data from the questionnaire survey. RESULTS: Using RDT, the prevalence of malaria was 4.68 % (95 % CI: 1.48–7.88 %) and 0.31 % (−0.30 to 0.92 %) in irrigated and non-irrigated areas, respectively. From the questionnaires, 14.62 % (9.27–19.97 %) and 23.91 % (19.23–28.60 %) of the participants perceived to have had malaria in the irrigated and pastoral areas, respectively. The main malaria control measure was the use of bed nets: average of three nets per household in Bura irrigation scheme and one in Ijara. Artemether–lumefantrine was the main drug of choice mainly in the irrigated area while sulfadoxine–pyrimethamine was likely to be used in the non-irrigated area. Households located >5 km from the nearest health facility had higher prevalence of Plasmodium infection than those located ≤5 km. CONCLUSION: The residents of Bura irrigation scheme were more likely to be infected compared to those living in the non-irrigated area of Ijara. However, those in the non-irrigated area were more likely to be treated or use over-the-counter medication for perceived malaria illnesses compared to those in the irrigated area. There is a need, therefore, to formulate effective ways of managing malaria especially in irrigated areas and build capacity on differential diagnosis for malaria, especially in the pastoral areas. |
format | Online Article Text |
id | pubmed-4982001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49820012016-08-13 A comparison of malaria prevalence, control and management strategies in irrigated and non-irrigated areas in eastern Kenya Muriuki, John Muthii Kitala, Philip Muchemi, Gerald Njeru, Ian Karanja, Joan Bett, Bernard Malar J Research BACKGROUND: This study was conducted in Bura irrigation scheme in Tana River County and the pastoral area in Ijara, Garissa County in the eastern Kenya to establish the knowledge, attitude and practices on malaria transmission, control and management, and determine malaria prevalence and the associated risk factors. METHODS: A cross sectional survey design that involved 493 randomly selected people from 334 households was used between November and December 2013. All the randomly selected people were screened for malaria parasites using rapid diagnostic test (RDT)—Carestart™ malaria HRP2 (pf) kit. A questionnaire was administered to determine potential risk factors and perceptions on malaria exposure within a period of 2 months prior to the survey. Two logistic regression models were fitted to the data; one used the RDT results while the other used data from the questionnaire survey. RESULTS: Using RDT, the prevalence of malaria was 4.68 % (95 % CI: 1.48–7.88 %) and 0.31 % (−0.30 to 0.92 %) in irrigated and non-irrigated areas, respectively. From the questionnaires, 14.62 % (9.27–19.97 %) and 23.91 % (19.23–28.60 %) of the participants perceived to have had malaria in the irrigated and pastoral areas, respectively. The main malaria control measure was the use of bed nets: average of three nets per household in Bura irrigation scheme and one in Ijara. Artemether–lumefantrine was the main drug of choice mainly in the irrigated area while sulfadoxine–pyrimethamine was likely to be used in the non-irrigated area. Households located >5 km from the nearest health facility had higher prevalence of Plasmodium infection than those located ≤5 km. CONCLUSION: The residents of Bura irrigation scheme were more likely to be infected compared to those living in the non-irrigated area of Ijara. However, those in the non-irrigated area were more likely to be treated or use over-the-counter medication for perceived malaria illnesses compared to those in the irrigated area. There is a need, therefore, to formulate effective ways of managing malaria especially in irrigated areas and build capacity on differential diagnosis for malaria, especially in the pastoral areas. BioMed Central 2016-08-11 /pmc/articles/PMC4982001/ /pubmed/27515696 http://dx.doi.org/10.1186/s12936-016-1458-4 Text en © The Author(s) 2016 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 Muriuki, John Muthii Kitala, Philip Muchemi, Gerald Njeru, Ian Karanja, Joan Bett, Bernard A comparison of malaria prevalence, control and management strategies in irrigated and non-irrigated areas in eastern Kenya |
title | A comparison of malaria prevalence, control and management strategies in irrigated and non-irrigated areas in eastern Kenya |
title_full | A comparison of malaria prevalence, control and management strategies in irrigated and non-irrigated areas in eastern Kenya |
title_fullStr | A comparison of malaria prevalence, control and management strategies in irrigated and non-irrigated areas in eastern Kenya |
title_full_unstemmed | A comparison of malaria prevalence, control and management strategies in irrigated and non-irrigated areas in eastern Kenya |
title_short | A comparison of malaria prevalence, control and management strategies in irrigated and non-irrigated areas in eastern Kenya |
title_sort | comparison of malaria prevalence, control and management strategies in irrigated and non-irrigated areas in eastern kenya |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982001/ https://www.ncbi.nlm.nih.gov/pubmed/27515696 http://dx.doi.org/10.1186/s12936-016-1458-4 |
work_keys_str_mv | AT muriukijohnmuthii acomparisonofmalariaprevalencecontrolandmanagementstrategiesinirrigatedandnonirrigatedareasineasternkenya AT kitalaphilip acomparisonofmalariaprevalencecontrolandmanagementstrategiesinirrigatedandnonirrigatedareasineasternkenya AT muchemigerald acomparisonofmalariaprevalencecontrolandmanagementstrategiesinirrigatedandnonirrigatedareasineasternkenya AT njeruian acomparisonofmalariaprevalencecontrolandmanagementstrategiesinirrigatedandnonirrigatedareasineasternkenya AT karanjajoan acomparisonofmalariaprevalencecontrolandmanagementstrategiesinirrigatedandnonirrigatedareasineasternkenya AT bettbernard acomparisonofmalariaprevalencecontrolandmanagementstrategiesinirrigatedandnonirrigatedareasineasternkenya AT muriukijohnmuthii comparisonofmalariaprevalencecontrolandmanagementstrategiesinirrigatedandnonirrigatedareasineasternkenya AT kitalaphilip comparisonofmalariaprevalencecontrolandmanagementstrategiesinirrigatedandnonirrigatedareasineasternkenya AT muchemigerald comparisonofmalariaprevalencecontrolandmanagementstrategiesinirrigatedandnonirrigatedareasineasternkenya AT njeruian comparisonofmalariaprevalencecontrolandmanagementstrategiesinirrigatedandnonirrigatedareasineasternkenya AT karanjajoan comparisonofmalariaprevalencecontrolandmanagementstrategiesinirrigatedandnonirrigatedareasineasternkenya AT bettbernard comparisonofmalariaprevalencecontrolandmanagementstrategiesinirrigatedandnonirrigatedareasineasternkenya |