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Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015–2018: a local resurgence

In South Africa, the population at risk of malaria is 10% (around six million inhabitants) and concern only three provinces of which Limpopo Province is the most affected, particularly in Vhembe District. As the elimination approaches, a finer scale analysis is needed to accelerate the results. Ther...

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Autores principales: Dieng, Sokhna, Adebayo-Ojo, Temitope Christina, Kruger, Taneshka, Riddin, Megan, Trehard, Helene, Tumelero, Serena, Bendiane, Marc-Karim, de Jager, Christiaan, Patrick, Sean, Bornman, Riana, Gaudart, Jean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329648/
https://www.ncbi.nlm.nih.gov/pubmed/37422504
http://dx.doi.org/10.1038/s41598-023-38147-0
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author Dieng, Sokhna
Adebayo-Ojo, Temitope Christina
Kruger, Taneshka
Riddin, Megan
Trehard, Helene
Tumelero, Serena
Bendiane, Marc-Karim
de Jager, Christiaan
Patrick, Sean
Bornman, Riana
Gaudart, Jean
author_facet Dieng, Sokhna
Adebayo-Ojo, Temitope Christina
Kruger, Taneshka
Riddin, Megan
Trehard, Helene
Tumelero, Serena
Bendiane, Marc-Karim
de Jager, Christiaan
Patrick, Sean
Bornman, Riana
Gaudart, Jean
author_sort Dieng, Sokhna
collection PubMed
description In South Africa, the population at risk of malaria is 10% (around six million inhabitants) and concern only three provinces of which Limpopo Province is the most affected, particularly in Vhembe District. As the elimination approaches, a finer scale analysis is needed to accelerate the results. Therefore, in the process of refining local malaria control and elimination strategies, the aim of this study was to identify and describe malaria incidence patterns at the locality scale in the Vhembe District, Limpopo Province, South Africa. The study area comprised 474 localities in Vhembe District for which smoothed malaria incidence curve were fitted with functional data method based on their weekly observed malaria incidence from July 2015 to June 2018. Then, hierarchical clustering algorithm was carried out considering different distances to classify the 474 smoothed malaria incidence curves. Thereafter, validity indices were used to determine the number of malaria incidence patterns. The cumulative malaria incidence of the study area was 4.1 cases/1000 person-years. Four distinct patterns of malaria incidence were identified: high, intermediate, low and very low with varying characteristics. Malaria incidence increased across transmission seasons and patterns. The localities in the two highest incidence patterns were mainly located around farms, and along the rivers. Some unusual malaria phenomena in Vhembe District were also highlighted as resurgence. Four distinct malaria incidence patterns were found in Vhembe District with varying characteristics. Findings show also unusual malaria phenomena in Vhembe District that hinder malaria elimination in South Africa. Assessing the factors associated with these unusual malaria phenome would be helpful on building innovative strategies that lead South Africa on malaria elimination.
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spelling pubmed-103296482023-07-10 Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015–2018: a local resurgence Dieng, Sokhna Adebayo-Ojo, Temitope Christina Kruger, Taneshka Riddin, Megan Trehard, Helene Tumelero, Serena Bendiane, Marc-Karim de Jager, Christiaan Patrick, Sean Bornman, Riana Gaudart, Jean Sci Rep Article In South Africa, the population at risk of malaria is 10% (around six million inhabitants) and concern only three provinces of which Limpopo Province is the most affected, particularly in Vhembe District. As the elimination approaches, a finer scale analysis is needed to accelerate the results. Therefore, in the process of refining local malaria control and elimination strategies, the aim of this study was to identify and describe malaria incidence patterns at the locality scale in the Vhembe District, Limpopo Province, South Africa. The study area comprised 474 localities in Vhembe District for which smoothed malaria incidence curve were fitted with functional data method based on their weekly observed malaria incidence from July 2015 to June 2018. Then, hierarchical clustering algorithm was carried out considering different distances to classify the 474 smoothed malaria incidence curves. Thereafter, validity indices were used to determine the number of malaria incidence patterns. The cumulative malaria incidence of the study area was 4.1 cases/1000 person-years. Four distinct patterns of malaria incidence were identified: high, intermediate, low and very low with varying characteristics. Malaria incidence increased across transmission seasons and patterns. The localities in the two highest incidence patterns were mainly located around farms, and along the rivers. Some unusual malaria phenomena in Vhembe District were also highlighted as resurgence. Four distinct malaria incidence patterns were found in Vhembe District with varying characteristics. Findings show also unusual malaria phenomena in Vhembe District that hinder malaria elimination in South Africa. Assessing the factors associated with these unusual malaria phenome would be helpful on building innovative strategies that lead South Africa on malaria elimination. Nature Publishing Group UK 2023-07-08 /pmc/articles/PMC10329648/ /pubmed/37422504 http://dx.doi.org/10.1038/s41598-023-38147-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Dieng, Sokhna
Adebayo-Ojo, Temitope Christina
Kruger, Taneshka
Riddin, Megan
Trehard, Helene
Tumelero, Serena
Bendiane, Marc-Karim
de Jager, Christiaan
Patrick, Sean
Bornman, Riana
Gaudart, Jean
Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015–2018: a local resurgence
title Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015–2018: a local resurgence
title_full Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015–2018: a local resurgence
title_fullStr Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015–2018: a local resurgence
title_full_unstemmed Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015–2018: a local resurgence
title_short Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015–2018: a local resurgence
title_sort geo-epidemiology of malaria incidence in the vhembe district to guide targeted elimination strategies, south-africa, 2015–2018: a local resurgence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329648/
https://www.ncbi.nlm.nih.gov/pubmed/37422504
http://dx.doi.org/10.1038/s41598-023-38147-0
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