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Monitoring changes in malaria epidemiology and effectiveness of interventions in Ethiopia and Uganda: Beyond Garki Project baseline survey

BACKGROUND: Scale-up of malaria interventions seems to have contributed to a decline in the disease but other factors may also have had some role. Understanding changes in transmission and determinant factors will help to adapt control strategies accordingly. METHODS: Four sites in Ethiopia and Ugan...

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Autores principales: Abeku, Tarekegn A., Helinski, Michelle E. H., Kirby, Matthew J., Kefyalew, Takele, Awano, Tessema, Batisso, Esey, Tesfaye, Gezahegn, Ssekitooleko, James, Nicholas, Sarala, Erdmanis, Laura, Nalwoga, Angela, Bass, Chris, Cose, Stephen, Assefa, Ashenafi, Kebede, Zelalem, Habte, Tedila, Katamba, Vincent, Nuwa, Anthony, Bakeera-Ssali, Stella, Akiror, Sarah C., Kyomuhagi, Irene, Tekalegne, Agonafer, Magumba, Godfrey, Meek, Sylvia R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4559172/
https://www.ncbi.nlm.nih.gov/pubmed/26337671
http://dx.doi.org/10.1186/s12936-015-0852-7
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author Abeku, Tarekegn A.
Helinski, Michelle E. H.
Kirby, Matthew J.
Kefyalew, Takele
Awano, Tessema
Batisso, Esey
Tesfaye, Gezahegn
Ssekitooleko, James
Nicholas, Sarala
Erdmanis, Laura
Nalwoga, Angela
Bass, Chris
Cose, Stephen
Assefa, Ashenafi
Kebede, Zelalem
Habte, Tedila
Katamba, Vincent
Nuwa, Anthony
Bakeera-Ssali, Stella
Akiror, Sarah C.
Kyomuhagi, Irene
Tekalegne, Agonafer
Magumba, Godfrey
Meek, Sylvia R.
author_facet Abeku, Tarekegn A.
Helinski, Michelle E. H.
Kirby, Matthew J.
Kefyalew, Takele
Awano, Tessema
Batisso, Esey
Tesfaye, Gezahegn
Ssekitooleko, James
Nicholas, Sarala
Erdmanis, Laura
Nalwoga, Angela
Bass, Chris
Cose, Stephen
Assefa, Ashenafi
Kebede, Zelalem
Habte, Tedila
Katamba, Vincent
Nuwa, Anthony
Bakeera-Ssali, Stella
Akiror, Sarah C.
Kyomuhagi, Irene
Tekalegne, Agonafer
Magumba, Godfrey
Meek, Sylvia R.
author_sort Abeku, Tarekegn A.
collection PubMed
description BACKGROUND: Scale-up of malaria interventions seems to have contributed to a decline in the disease but other factors may also have had some role. Understanding changes in transmission and determinant factors will help to adapt control strategies accordingly. METHODS: Four sites in Ethiopia and Uganda were set up to monitor epidemiological changes and effectiveness of interventions over time. Here, results of a survey during the peak transmission season of 2012 are reported, which will be used as baseline for subsequent surveys and may support adaptation of control strategies. Data on malariometric and entomological variables, socio-economic status (SES) and control coverage were collected. RESULTS: Malaria prevalence varied from 1.4 % in Guba (Ethiopia) to 9.9 % in Butemba (Uganda). The most dominant species was Plasmodium vivax in Ethiopia and Plasmodium falciparum in Uganda. The majority of human-vector contact occurred indoors in Uganda, ranging from 83 % (Anopheles funestus sensu lato) to 93 % (Anopheles gambiae s.l.), which is an important factor for the effectiveness of insecticide-treated nets (ITNs) or indoor residual spraying (IRS). High kdr-L1014S (resistance genotype) frequency was observed in A. gambiae sensu stricto in Uganda. Too few mosquitoes were collected in Ethiopia, so it was not possible to assess vector habits and insecticide resistance levels. ITN ownership did not vary by SES and 56–98 % and 68–78 % of households owned at least one ITN in Ethiopia and Uganda, respectively. In Uganda, 7 % of nets were purchased by households, but the nets were untreated. In three of the four sites, 69–76 % of people with access to ITNs used them. IRS coverage ranged from 84 to 96 % in the three sprayed sites. Half of febrile children in Uganda and three-quarters in Ethiopia for whom treatment was sought received diagnostic tests. High levels of child undernutrition were detected in both countries carrying important implications on child development. In Uganda, 7–8 % of pregnant women took the recommended minimum three doses of intermittent preventive treatment. CONCLUSION: Malaria epidemiology seems to be changing compared to earlier published data, and it is essential to have more data to understand how much of the changes are attributable to interventions and other factors. Regular monitoring will help to better interpret changes, identify determinants, modify strategies and improve targeting to address transmission heterogeneity.
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spelling pubmed-45591722015-09-04 Monitoring changes in malaria epidemiology and effectiveness of interventions in Ethiopia and Uganda: Beyond Garki Project baseline survey Abeku, Tarekegn A. Helinski, Michelle E. H. Kirby, Matthew J. Kefyalew, Takele Awano, Tessema Batisso, Esey Tesfaye, Gezahegn Ssekitooleko, James Nicholas, Sarala Erdmanis, Laura Nalwoga, Angela Bass, Chris Cose, Stephen Assefa, Ashenafi Kebede, Zelalem Habte, Tedila Katamba, Vincent Nuwa, Anthony Bakeera-Ssali, Stella Akiror, Sarah C. Kyomuhagi, Irene Tekalegne, Agonafer Magumba, Godfrey Meek, Sylvia R. Malar J Research BACKGROUND: Scale-up of malaria interventions seems to have contributed to a decline in the disease but other factors may also have had some role. Understanding changes in transmission and determinant factors will help to adapt control strategies accordingly. METHODS: Four sites in Ethiopia and Uganda were set up to monitor epidemiological changes and effectiveness of interventions over time. Here, results of a survey during the peak transmission season of 2012 are reported, which will be used as baseline for subsequent surveys and may support adaptation of control strategies. Data on malariometric and entomological variables, socio-economic status (SES) and control coverage were collected. RESULTS: Malaria prevalence varied from 1.4 % in Guba (Ethiopia) to 9.9 % in Butemba (Uganda). The most dominant species was Plasmodium vivax in Ethiopia and Plasmodium falciparum in Uganda. The majority of human-vector contact occurred indoors in Uganda, ranging from 83 % (Anopheles funestus sensu lato) to 93 % (Anopheles gambiae s.l.), which is an important factor for the effectiveness of insecticide-treated nets (ITNs) or indoor residual spraying (IRS). High kdr-L1014S (resistance genotype) frequency was observed in A. gambiae sensu stricto in Uganda. Too few mosquitoes were collected in Ethiopia, so it was not possible to assess vector habits and insecticide resistance levels. ITN ownership did not vary by SES and 56–98 % and 68–78 % of households owned at least one ITN in Ethiopia and Uganda, respectively. In Uganda, 7 % of nets were purchased by households, but the nets were untreated. In three of the four sites, 69–76 % of people with access to ITNs used them. IRS coverage ranged from 84 to 96 % in the three sprayed sites. Half of febrile children in Uganda and three-quarters in Ethiopia for whom treatment was sought received diagnostic tests. High levels of child undernutrition were detected in both countries carrying important implications on child development. In Uganda, 7–8 % of pregnant women took the recommended minimum three doses of intermittent preventive treatment. CONCLUSION: Malaria epidemiology seems to be changing compared to earlier published data, and it is essential to have more data to understand how much of the changes are attributable to interventions and other factors. Regular monitoring will help to better interpret changes, identify determinants, modify strategies and improve targeting to address transmission heterogeneity. BioMed Central 2015-09-04 /pmc/articles/PMC4559172/ /pubmed/26337671 http://dx.doi.org/10.1186/s12936-015-0852-7 Text en © Abeku et al. 2015 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
Abeku, Tarekegn A.
Helinski, Michelle E. H.
Kirby, Matthew J.
Kefyalew, Takele
Awano, Tessema
Batisso, Esey
Tesfaye, Gezahegn
Ssekitooleko, James
Nicholas, Sarala
Erdmanis, Laura
Nalwoga, Angela
Bass, Chris
Cose, Stephen
Assefa, Ashenafi
Kebede, Zelalem
Habte, Tedila
Katamba, Vincent
Nuwa, Anthony
Bakeera-Ssali, Stella
Akiror, Sarah C.
Kyomuhagi, Irene
Tekalegne, Agonafer
Magumba, Godfrey
Meek, Sylvia R.
Monitoring changes in malaria epidemiology and effectiveness of interventions in Ethiopia and Uganda: Beyond Garki Project baseline survey
title Monitoring changes in malaria epidemiology and effectiveness of interventions in Ethiopia and Uganda: Beyond Garki Project baseline survey
title_full Monitoring changes in malaria epidemiology and effectiveness of interventions in Ethiopia and Uganda: Beyond Garki Project baseline survey
title_fullStr Monitoring changes in malaria epidemiology and effectiveness of interventions in Ethiopia and Uganda: Beyond Garki Project baseline survey
title_full_unstemmed Monitoring changes in malaria epidemiology and effectiveness of interventions in Ethiopia and Uganda: Beyond Garki Project baseline survey
title_short Monitoring changes in malaria epidemiology and effectiveness of interventions in Ethiopia and Uganda: Beyond Garki Project baseline survey
title_sort monitoring changes in malaria epidemiology and effectiveness of interventions in ethiopia and uganda: beyond garki project baseline survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4559172/
https://www.ncbi.nlm.nih.gov/pubmed/26337671
http://dx.doi.org/10.1186/s12936-015-0852-7
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