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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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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. |
format | Online Article Text |
id | pubmed-5397782 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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