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...
Gespeichert in:
Veröffentlicht in: | Scientific reports 2023-07, Vol.13 (1) |
---|---|
Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 1 |
container_start_page | |
container_title | Scientific reports |
container_volume | 13 |
creator | 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 |
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. |
doi_str_mv | 10.1038/s41598-023-38147-0 |
format | Article |
fullrecord | <record><control><sourceid>hal</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_inserm_04297968v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>oai_HAL_inserm_04297968v1</sourcerecordid><originalsourceid>FETCH-hal_primary_oai_HAL_inserm_04297968v13</originalsourceid><addsrcrecordid>eNqVjTFOAzEQRS0EIhHkAlRzgBhsr5fs0kVASEEHol0Nm8nuIO86sh2kdNwBTshJcEFBy2_-l-bN_0JcaHWpVVFdRavLupLKFLKotF1IdSSmRtlSmsKY4z95ImYxvqms0tRW16diUiysMaWyU_H1QF7Sjjc0sHe-O4DfwoAOAyPw2ObD2FJOkHqCl56GV4I7jilwmyB56PYZgYSho0QbIMcDj5jYj5AhTNQxxTk8-X3q5XKb33AORuny--MzW3UDCM636CBQ3OeWPHcuTrboIs1-_UzMV_fPt2vZo2t2gQcMh8YjN-vlY8NjpDA0ypp6UV9X77r4J_4DY_9mww</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015–2018: a local resurgence</title><source>DOAJ Directory of Open Access Journals</source><source>Springer Nature OA Free Journals</source><source>Nature Free</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>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</creator><creatorcontrib>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</creatorcontrib><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.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-023-38147-0</identifier><identifier>PMID: 37422504</identifier><language>eng</language><publisher>Nature Publishing Group</publisher><subject>Life Sciences ; Santé publique et épidémiologie</subject><ispartof>Scientific reports, 2023-07, Vol.13 (1)</ispartof><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,864,885,27924,27925</link.rule.ids><backlink>$$Uhttps://inserm.hal.science/inserm-04297968$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Dieng, Sokhna</creatorcontrib><creatorcontrib>Adebayo-Ojo, Temitope Christina</creatorcontrib><creatorcontrib>Kruger, Taneshka</creatorcontrib><creatorcontrib>Riddin, Megan</creatorcontrib><creatorcontrib>Trehard, Helene</creatorcontrib><creatorcontrib>Tumelero, Serena</creatorcontrib><creatorcontrib>Bendiane, Marc-Karim</creatorcontrib><creatorcontrib>de Jager, Christiaan</creatorcontrib><creatorcontrib>Patrick, Sean</creatorcontrib><creatorcontrib>Bornman, Riana</creatorcontrib><creatorcontrib>Gaudart, Jean</creatorcontrib><title>Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015–2018: a local resurgence</title><title>Scientific reports</title><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.</description><subject>Life Sciences</subject><subject>Santé publique et épidémiologie</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqVjTFOAzEQRS0EIhHkAlRzgBhsr5fs0kVASEEHol0Nm8nuIO86sh2kdNwBTshJcEFBy2_-l-bN_0JcaHWpVVFdRavLupLKFLKotF1IdSSmRtlSmsKY4z95ImYxvqms0tRW16diUiysMaWyU_H1QF7Sjjc0sHe-O4DfwoAOAyPw2ObD2FJOkHqCl56GV4I7jilwmyB56PYZgYSho0QbIMcDj5jYj5AhTNQxxTk8-X3q5XKb33AORuny--MzW3UDCM636CBQ3OeWPHcuTrboIs1-_UzMV_fPt2vZo2t2gQcMh8YjN-vlY8NjpDA0ypp6UV9X77r4J_4DY_9mww</recordid><startdate>20230708</startdate><enddate>20230708</enddate><creator>Dieng, Sokhna</creator><creator>Adebayo-Ojo, Temitope Christina</creator><creator>Kruger, Taneshka</creator><creator>Riddin, Megan</creator><creator>Trehard, Helene</creator><creator>Tumelero, Serena</creator><creator>Bendiane, Marc-Karim</creator><creator>de Jager, Christiaan</creator><creator>Patrick, Sean</creator><creator>Bornman, Riana</creator><creator>Gaudart, Jean</creator><general>Nature Publishing Group</general><scope>1XC</scope><scope>VOOES</scope></search><sort><creationdate>20230708</creationdate><title>Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015–2018: a local resurgence</title><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-hal_primary_oai_HAL_inserm_04297968v13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Life Sciences</topic><topic>Santé publique et épidémiologie</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dieng, Sokhna</creatorcontrib><creatorcontrib>Adebayo-Ojo, Temitope Christina</creatorcontrib><creatorcontrib>Kruger, Taneshka</creatorcontrib><creatorcontrib>Riddin, Megan</creatorcontrib><creatorcontrib>Trehard, Helene</creatorcontrib><creatorcontrib>Tumelero, Serena</creatorcontrib><creatorcontrib>Bendiane, Marc-Karim</creatorcontrib><creatorcontrib>de Jager, Christiaan</creatorcontrib><creatorcontrib>Patrick, Sean</creatorcontrib><creatorcontrib>Bornman, Riana</creatorcontrib><creatorcontrib>Gaudart, Jean</creatorcontrib><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dieng, Sokhna</au><au>Adebayo-Ojo, Temitope Christina</au><au>Kruger, Taneshka</au><au>Riddin, Megan</au><au>Trehard, Helene</au><au>Tumelero, Serena</au><au>Bendiane, Marc-Karim</au><au>de Jager, Christiaan</au><au>Patrick, Sean</au><au>Bornman, Riana</au><au>Gaudart, Jean</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015–2018: a local resurgence</atitle><jtitle>Scientific reports</jtitle><date>2023-07-08</date><risdate>2023</risdate><volume>13</volume><issue>1</issue><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>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.</abstract><pub>Nature Publishing Group</pub><pmid>37422504</pmid><doi>10.1038/s41598-023-38147-0</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2045-2322 |
ispartof | Scientific reports, 2023-07, Vol.13 (1) |
issn | 2045-2322 2045-2322 |
language | eng |
recordid | cdi_hal_primary_oai_HAL_inserm_04297968v1 |
source | DOAJ Directory of Open Access Journals; Springer Nature OA Free Journals; Nature Free; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Life Sciences Santé publique et épidémiologie |
title | Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015–2018: a local resurgence |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T09%3A00%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-hal&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Geo-epidemiology%20of%20malaria%20incidence%20in%20the%20Vhembe%20District%20to%20guide%20targeted%20elimination%20strategies,%20South-Africa,%202015%E2%80%932018:%20a%20local%20resurgence&rft.jtitle=Scientific%20reports&rft.au=Dieng,%20Sokhna&rft.date=2023-07-08&rft.volume=13&rft.issue=1&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/s41598-023-38147-0&rft_dat=%3Chal%3Eoai_HAL_inserm_04297968v1%3C/hal%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/37422504&rfr_iscdi=true |