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Spatial and Temporal Patterns of Malaria in Phu Yen Province, Vietnam, from 2005 to 2016

Malaria in Vietnam has become focal to a few provinces, including Phu Yen. This study aimed to assess correlations between intervention (population proportion protected by insecticide-treated nets and indoor residual spraying) and climatic variables with malaria incidence in Phu Yen Province. The Vi...

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Autores principales: Wangdi, Kinley, Canavati, Sara E., Ngo, Thang Duc, Nguyen, Thu Minh, Tran, Long Khanh, Kelly, Gerard C., Martin, Nicholas J., Clements, Archie C. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society of Tropical Medicine and Hygiene 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7543816/
https://www.ncbi.nlm.nih.gov/pubmed/32748781
http://dx.doi.org/10.4269/ajtmh.20-0392
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author Wangdi, Kinley
Canavati, Sara E.
Ngo, Thang Duc
Nguyen, Thu Minh
Tran, Long Khanh
Kelly, Gerard C.
Martin, Nicholas J.
Clements, Archie C. A.
author_facet Wangdi, Kinley
Canavati, Sara E.
Ngo, Thang Duc
Nguyen, Thu Minh
Tran, Long Khanh
Kelly, Gerard C.
Martin, Nicholas J.
Clements, Archie C. A.
author_sort Wangdi, Kinley
collection PubMed
description Malaria in Vietnam has become focal to a few provinces, including Phu Yen. This study aimed to assess correlations between intervention (population proportion protected by insecticide-treated nets and indoor residual spraying) and climatic variables with malaria incidence in Phu Yen Province. The Vietnam National Institute of Malariology, Parasitology, and Entomology provided incidence data for Plasmodium falciparum and Plasmodium vivax for 104 communes of Phu Yen Province from January 2005 to December 2016. A multivariable, zero-inflated Poisson regression model was developed with a conditional autoregressive prior structure to identify the underlying spatial structure of the data and quantify associations with covariates. There were a total of 2,778 P. falciparum and 1,770 P. vivax cases during the study period. Plasmodium falciparum and P. vivax incidence increased by 5.4% (95% credible interval [CrI] 5.1%, 5.7%) and 3.2% (95% CrI 2.9%, 3.5%) for a 10-mm increase in precipitation without lag, respectively. Plasmodium falciparum and P. vivax incidence decreased by 7.7% (95% CrI 5.6%, 9.7%) and 10.5% (95% CrI 8.3%, 12.6%) for a 1°C increase in minimum temperature without lag, respectively. There was a > 95% probability of a higher than provincial average trend of P. falciparum and P. vivax in Song Cau and Song Hoa districts. There was a > 95% probability of a lower than provincial average trend in Tuy Dong Xuan and Hoa districts for both species. Targeted distribution of resources, including intensified interventions, in this part of the province will be required for local malaria elimination.
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spelling pubmed-75438162020-10-11 Spatial and Temporal Patterns of Malaria in Phu Yen Province, Vietnam, from 2005 to 2016 Wangdi, Kinley Canavati, Sara E. Ngo, Thang Duc Nguyen, Thu Minh Tran, Long Khanh Kelly, Gerard C. Martin, Nicholas J. Clements, Archie C. A. Am J Trop Med Hyg Articles Malaria in Vietnam has become focal to a few provinces, including Phu Yen. This study aimed to assess correlations between intervention (population proportion protected by insecticide-treated nets and indoor residual spraying) and climatic variables with malaria incidence in Phu Yen Province. The Vietnam National Institute of Malariology, Parasitology, and Entomology provided incidence data for Plasmodium falciparum and Plasmodium vivax for 104 communes of Phu Yen Province from January 2005 to December 2016. A multivariable, zero-inflated Poisson regression model was developed with a conditional autoregressive prior structure to identify the underlying spatial structure of the data and quantify associations with covariates. There were a total of 2,778 P. falciparum and 1,770 P. vivax cases during the study period. Plasmodium falciparum and P. vivax incidence increased by 5.4% (95% credible interval [CrI] 5.1%, 5.7%) and 3.2% (95% CrI 2.9%, 3.5%) for a 10-mm increase in precipitation without lag, respectively. Plasmodium falciparum and P. vivax incidence decreased by 7.7% (95% CrI 5.6%, 9.7%) and 10.5% (95% CrI 8.3%, 12.6%) for a 1°C increase in minimum temperature without lag, respectively. There was a > 95% probability of a higher than provincial average trend of P. falciparum and P. vivax in Song Cau and Song Hoa districts. There was a > 95% probability of a lower than provincial average trend in Tuy Dong Xuan and Hoa districts for both species. Targeted distribution of resources, including intensified interventions, in this part of the province will be required for local malaria elimination. The American Society of Tropical Medicine and Hygiene 2020-10 2020-08-03 /pmc/articles/PMC7543816/ /pubmed/32748781 http://dx.doi.org/10.4269/ajtmh.20-0392 Text en © The American Society of Tropical Medicine and Hygiene This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Articles
Wangdi, Kinley
Canavati, Sara E.
Ngo, Thang Duc
Nguyen, Thu Minh
Tran, Long Khanh
Kelly, Gerard C.
Martin, Nicholas J.
Clements, Archie C. A.
Spatial and Temporal Patterns of Malaria in Phu Yen Province, Vietnam, from 2005 to 2016
title Spatial and Temporal Patterns of Malaria in Phu Yen Province, Vietnam, from 2005 to 2016
title_full Spatial and Temporal Patterns of Malaria in Phu Yen Province, Vietnam, from 2005 to 2016
title_fullStr Spatial and Temporal Patterns of Malaria in Phu Yen Province, Vietnam, from 2005 to 2016
title_full_unstemmed Spatial and Temporal Patterns of Malaria in Phu Yen Province, Vietnam, from 2005 to 2016
title_short Spatial and Temporal Patterns of Malaria in Phu Yen Province, Vietnam, from 2005 to 2016
title_sort spatial and temporal patterns of malaria in phu yen province, vietnam, from 2005 to 2016
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7543816/
https://www.ncbi.nlm.nih.gov/pubmed/32748781
http://dx.doi.org/10.4269/ajtmh.20-0392
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