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Household level spatio-temporal analysis of Plasmodium falciparum and Plasmodium vivax malaria in Ethiopia

BACKGROUND: The global decline of malaria burden and goals for elimination has led to an increased interest in the fine-scale epidemiology of malaria. Micro-geographic heterogeneity of malaria infection could have implications for designing targeted small-area interventions. METHODS: Two-year longit...

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Autores principales: Seyoum, Dinberu, Yewhalaw, Delenasaw, Duchateau, Luc, Brandt, Patrick, Rosas-Aguirre, Angel, Speybroeck, Niko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397782/
https://www.ncbi.nlm.nih.gov/pubmed/28427451
http://dx.doi.org/10.1186/s13071-017-2124-6
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author Seyoum, Dinberu
Yewhalaw, Delenasaw
Duchateau, Luc
Brandt, Patrick
Rosas-Aguirre, Angel
Speybroeck, Niko
author_facet Seyoum, Dinberu
Yewhalaw, Delenasaw
Duchateau, Luc
Brandt, Patrick
Rosas-Aguirre, Angel
Speybroeck, Niko
author_sort Seyoum, Dinberu
collection PubMed
description BACKGROUND: The global decline of malaria burden and goals for elimination has led to an increased interest in the fine-scale epidemiology of malaria. Micro-geographic heterogeneity of malaria infection could have implications for designing targeted small-area interventions. METHODS: Two-year longitudinal cohort study data were used to explore the spatial and spatio-temporal distribution of malaria episodes in 2040 children aged < 10 years in 16 villages near the Gilgel-Gibe hydropower dam in Southwest Ethiopia. All selected households (HHs) were geo-referenced, and children were followed up through weekly house-to-house visits for two consecutive years to identify febrile episodes of P. falciparum and P. vivax infections. After confirming the spatial dependence of malaria episodes with Ripley’s K function, SatScan(TM) was used to identify purely spatial and space-time clusters (hotspots) of annual malaria incidence for 2 years follow-up: year 1 (July 2008-June 2009) and year 2 (July 2009-June 2010). RESULTS: In total, 685 P. falciparum episodes (in 492 HHs) and 385 P. vivax episodes (in 290 HHs) were identified, representing respectively incidence rates of 14.6 (95% CI: 13.4–15.6) and 8.2 (95% CI: 7.3–9.1) per 1000 child-months at risk. In year 1, the most likely (128 HHs with 63 episodes, RR = 2.1) and secondary (15 HHs with 12 episodes, RR = 5.31) clusters of P. vivax incidence were found respectively in southern and north-western villages; while in year 2, the most likely cluster was located only in north-western villages (85 HHs with 16 episodes, RR = 4.4). Instead, most likely spatial clusters of P. falciparum incidence were consistently located in villages south of the dam in both years: year 1 (167 HHs with 81 episodes, RR = 1.8) and year 2 (133 HHs with 67 episodes, RR = 2.2). Space-time clusters in southern villages for P. vivax were found in August-November 2008 in year 1 and between November 2009 and February 2010 in year 2; while for P. falciparum, they were found in September-November 2008 in year 1 and October-November 2009 in year 2. CONCLUSION: Hotspots of P. falciparum incidence in children were more stable at the geographical level and over time compared to those of P. vivax incidence during the study period. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13071-017-2124-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-53977822017-04-21 Household level spatio-temporal analysis of Plasmodium falciparum and Plasmodium vivax malaria in Ethiopia Seyoum, Dinberu Yewhalaw, Delenasaw Duchateau, Luc Brandt, Patrick Rosas-Aguirre, Angel Speybroeck, Niko Parasit Vectors Research BACKGROUND: The global decline of malaria burden and goals for elimination has led to an increased interest in the fine-scale epidemiology of malaria. Micro-geographic heterogeneity of malaria infection could have implications for designing targeted small-area interventions. METHODS: Two-year longitudinal cohort study data were used to explore the spatial and spatio-temporal distribution of malaria episodes in 2040 children aged < 10 years in 16 villages near the Gilgel-Gibe hydropower dam in Southwest Ethiopia. All selected households (HHs) were geo-referenced, and children were followed up through weekly house-to-house visits for two consecutive years to identify febrile episodes of P. falciparum and P. vivax infections. After confirming the spatial dependence of malaria episodes with Ripley’s K function, SatScan(TM) was used to identify purely spatial and space-time clusters (hotspots) of annual malaria incidence for 2 years follow-up: year 1 (July 2008-June 2009) and year 2 (July 2009-June 2010). RESULTS: In total, 685 P. falciparum episodes (in 492 HHs) and 385 P. vivax episodes (in 290 HHs) were identified, representing respectively incidence rates of 14.6 (95% CI: 13.4–15.6) and 8.2 (95% CI: 7.3–9.1) per 1000 child-months at risk. In year 1, the most likely (128 HHs with 63 episodes, RR = 2.1) and secondary (15 HHs with 12 episodes, RR = 5.31) clusters of P. vivax incidence were found respectively in southern and north-western villages; while in year 2, the most likely cluster was located only in north-western villages (85 HHs with 16 episodes, RR = 4.4). Instead, most likely spatial clusters of P. falciparum incidence were consistently located in villages south of the dam in both years: year 1 (167 HHs with 81 episodes, RR = 1.8) and year 2 (133 HHs with 67 episodes, RR = 2.2). Space-time clusters in southern villages for P. vivax were found in August-November 2008 in year 1 and between November 2009 and February 2010 in year 2; while for P. falciparum, they were found in September-November 2008 in year 1 and October-November 2009 in year 2. CONCLUSION: Hotspots of P. falciparum incidence in children were more stable at the geographical level and over time compared to those of P. vivax incidence during the study period. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13071-017-2124-6) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-20 /pmc/articles/PMC5397782/ /pubmed/28427451 http://dx.doi.org/10.1186/s13071-017-2124-6 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
Seyoum, Dinberu
Yewhalaw, Delenasaw
Duchateau, Luc
Brandt, Patrick
Rosas-Aguirre, Angel
Speybroeck, Niko
Household level spatio-temporal analysis of Plasmodium falciparum and Plasmodium vivax malaria in Ethiopia
title Household level spatio-temporal analysis of Plasmodium falciparum and Plasmodium vivax malaria in Ethiopia
title_full Household level spatio-temporal analysis of Plasmodium falciparum and Plasmodium vivax malaria in Ethiopia
title_fullStr Household level spatio-temporal analysis of Plasmodium falciparum and Plasmodium vivax malaria in Ethiopia
title_full_unstemmed Household level spatio-temporal analysis of Plasmodium falciparum and Plasmodium vivax malaria in Ethiopia
title_short Household level spatio-temporal analysis of Plasmodium falciparum and Plasmodium vivax malaria in Ethiopia
title_sort household level spatio-temporal analysis of plasmodium falciparum and plasmodium vivax malaria in ethiopia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397782/
https://www.ncbi.nlm.nih.gov/pubmed/28427451
http://dx.doi.org/10.1186/s13071-017-2124-6
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