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Spatio-temporal patterns of malaria infection in Bhutan: a country embarking on malaria elimination

BACKGROUND: At the verge of elimination of malaria in Bhutan, this study was carried out to analyse the trend of malaria in the endemic districts of Bhutan and to identify malaria clusters at the sub-districts. The findings would aid in implementing the control activities. Poisson regression was per...

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Autores principales: Wangdi, Kinley, Kaewkungwal, Jaranit, Singhasivanon, Pratap, Silawan, Tassanee, Lawpoolsri, Saranath, White, Nicholas J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3094227/
https://www.ncbi.nlm.nih.gov/pubmed/21496285
http://dx.doi.org/10.1186/1475-2875-10-89
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author Wangdi, Kinley
Kaewkungwal, Jaranit
Singhasivanon, Pratap
Silawan, Tassanee
Lawpoolsri, Saranath
White, Nicholas J
author_facet Wangdi, Kinley
Kaewkungwal, Jaranit
Singhasivanon, Pratap
Silawan, Tassanee
Lawpoolsri, Saranath
White, Nicholas J
author_sort Wangdi, Kinley
collection PubMed
description BACKGROUND: At the verge of elimination of malaria in Bhutan, this study was carried out to analyse the trend of malaria in the endemic districts of Bhutan and to identify malaria clusters at the sub-districts. The findings would aid in implementing the control activities. Poisson regression was performed to study the trend of malaria incidences at district level from 1994 to 2008. Spatial Empirical Bayesian smoothing was deployed to identify clusters of malaria at the sub-district level from 2004 to 2008. RESULTS: Trend of the overall districts and most of the endemic districts have decreased except Pemagatshel, which has an increase in the trend. Spatial cluster-outlier analysis showed that malaria clusters were mostly concentrated in the central and eastern Bhutan in three districts of Dagana, Samdrup Jongkhar and Sarpang. The disease clusters were reported throughout the year. Clusters extended to the non-transmission areas in the eastern Bhutan. CONCLUSIONS: There is significant decrease in the trend of malaria with the elimination at the sight. The decrease in the trend can be attributed to the success of the control and preventive measures. In order to realize the target of elimination of malaria, the control measure needs to be prioritized in these high-risk clusters of malaria.
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spelling pubmed-30942272011-05-14 Spatio-temporal patterns of malaria infection in Bhutan: a country embarking on malaria elimination Wangdi, Kinley Kaewkungwal, Jaranit Singhasivanon, Pratap Silawan, Tassanee Lawpoolsri, Saranath White, Nicholas J Malar J Research BACKGROUND: At the verge of elimination of malaria in Bhutan, this study was carried out to analyse the trend of malaria in the endemic districts of Bhutan and to identify malaria clusters at the sub-districts. The findings would aid in implementing the control activities. Poisson regression was performed to study the trend of malaria incidences at district level from 1994 to 2008. Spatial Empirical Bayesian smoothing was deployed to identify clusters of malaria at the sub-district level from 2004 to 2008. RESULTS: Trend of the overall districts and most of the endemic districts have decreased except Pemagatshel, which has an increase in the trend. Spatial cluster-outlier analysis showed that malaria clusters were mostly concentrated in the central and eastern Bhutan in three districts of Dagana, Samdrup Jongkhar and Sarpang. The disease clusters were reported throughout the year. Clusters extended to the non-transmission areas in the eastern Bhutan. CONCLUSIONS: There is significant decrease in the trend of malaria with the elimination at the sight. The decrease in the trend can be attributed to the success of the control and preventive measures. In order to realize the target of elimination of malaria, the control measure needs to be prioritized in these high-risk clusters of malaria. BioMed Central 2011-04-16 /pmc/articles/PMC3094227/ /pubmed/21496285 http://dx.doi.org/10.1186/1475-2875-10-89 Text en Copyright ©2011 Wangdi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Wangdi, Kinley
Kaewkungwal, Jaranit
Singhasivanon, Pratap
Silawan, Tassanee
Lawpoolsri, Saranath
White, Nicholas J
Spatio-temporal patterns of malaria infection in Bhutan: a country embarking on malaria elimination
title Spatio-temporal patterns of malaria infection in Bhutan: a country embarking on malaria elimination
title_full Spatio-temporal patterns of malaria infection in Bhutan: a country embarking on malaria elimination
title_fullStr Spatio-temporal patterns of malaria infection in Bhutan: a country embarking on malaria elimination
title_full_unstemmed Spatio-temporal patterns of malaria infection in Bhutan: a country embarking on malaria elimination
title_short Spatio-temporal patterns of malaria infection in Bhutan: a country embarking on malaria elimination
title_sort spatio-temporal patterns of malaria infection in bhutan: a country embarking on malaria elimination
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3094227/
https://www.ncbi.nlm.nih.gov/pubmed/21496285
http://dx.doi.org/10.1186/1475-2875-10-89
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