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Regime shifts and heterogeneous trends in malaria time series from Western Kenya Highlands
Large malaria epidemics in the East African highlands during the mid and late 1990s kindled a stream of research on the role that global warming might have on malaria transmission. Most of the inferences using temporal information have been derived from a malaria incidence time series from Kericho....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3252560/ https://www.ncbi.nlm.nih.gov/pubmed/21996447 http://dx.doi.org/10.1017/S0031182011001685 |
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author | CHAVES, LUIS FERNANDO HASHIZUME, MASAHIRO SATAKE, AKIKO MINAKAWA, NOBORU |
author_facet | CHAVES, LUIS FERNANDO HASHIZUME, MASAHIRO SATAKE, AKIKO MINAKAWA, NOBORU |
author_sort | CHAVES, LUIS FERNANDO |
collection | PubMed |
description | Large malaria epidemics in the East African highlands during the mid and late 1990s kindled a stream of research on the role that global warming might have on malaria transmission. Most of the inferences using temporal information have been derived from a malaria incidence time series from Kericho. Here, we report a detailed analysis of 5 monthly time series, between 15 and 41 years long, from West Kenya encompassing an altitudinal gradient along Lake Victoria basin. We found decreasing, but heterogeneous, malaria trends since the late 1980s at low altitudes (<1600 m), and the early 2000s at high altitudes (>1600 m). Regime shifts were present in 3 of the series and were synchronous in the 2 time series from high altitudes. At low altitude, regime shifts were associated with a shift from increasing to decreasing malaria transmission, as well as a decrease in variability. At higher altitudes, regime shifts reflected an increase in malaria transmission variability. The heterogeneity in malaria trends probably reflects the multitude of factors that can drive malaria transmission and highlights the need for both spatially and temporally fine-grained data to make sound inferences about the impacts of climate change and control/elimination interventions on malaria transmission. |
format | Online Article Text |
id | pubmed-3252560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32525602012-01-11 Regime shifts and heterogeneous trends in malaria time series from Western Kenya Highlands CHAVES, LUIS FERNANDO HASHIZUME, MASAHIRO SATAKE, AKIKO MINAKAWA, NOBORU Parasitology Research Article Large malaria epidemics in the East African highlands during the mid and late 1990s kindled a stream of research on the role that global warming might have on malaria transmission. Most of the inferences using temporal information have been derived from a malaria incidence time series from Kericho. Here, we report a detailed analysis of 5 monthly time series, between 15 and 41 years long, from West Kenya encompassing an altitudinal gradient along Lake Victoria basin. We found decreasing, but heterogeneous, malaria trends since the late 1980s at low altitudes (<1600 m), and the early 2000s at high altitudes (>1600 m). Regime shifts were present in 3 of the series and were synchronous in the 2 time series from high altitudes. At low altitude, regime shifts were associated with a shift from increasing to decreasing malaria transmission, as well as a decrease in variability. At higher altitudes, regime shifts reflected an increase in malaria transmission variability. The heterogeneity in malaria trends probably reflects the multitude of factors that can drive malaria transmission and highlights the need for both spatially and temporally fine-grained data to make sound inferences about the impacts of climate change and control/elimination interventions on malaria transmission. Cambridge University Press 2012-01 2011-10-14 /pmc/articles/PMC3252560/ /pubmed/21996447 http://dx.doi.org/10.1017/S0031182011001685 Text en Copyright © Cambridge University Press 2011. The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike licence <http://creativecommons.org/licenses/by-nc-sa/2.5/>. The written permission of Cambridge University Press must be obtained for commercial re-use. http://creativecommons.org/licenses/by-nc-sa/2.5/ The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike licence <http://creativecommons.org/licenses/by-nc-sa/2.5/>. (http://creativecommons.org/licenses/by-nc-sa/2.5/>) The written permission of Cambridge University Press must be obtained for commercial re-use. |
spellingShingle | Research Article CHAVES, LUIS FERNANDO HASHIZUME, MASAHIRO SATAKE, AKIKO MINAKAWA, NOBORU Regime shifts and heterogeneous trends in malaria time series from Western Kenya Highlands |
title | Regime shifts and heterogeneous trends in malaria time series from Western Kenya Highlands |
title_full | Regime shifts and heterogeneous trends in malaria time series from Western Kenya Highlands |
title_fullStr | Regime shifts and heterogeneous trends in malaria time series from Western Kenya Highlands |
title_full_unstemmed | Regime shifts and heterogeneous trends in malaria time series from Western Kenya Highlands |
title_short | Regime shifts and heterogeneous trends in malaria time series from Western Kenya Highlands |
title_sort | regime shifts and heterogeneous trends in malaria time series from western kenya highlands |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3252560/ https://www.ncbi.nlm.nih.gov/pubmed/21996447 http://dx.doi.org/10.1017/S0031182011001685 |
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