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An insight to better understanding cross border malaria in Saudi Arabia
BACKGROUND: Border malaria is a major obstacle for the malaria elimination in Saudi Arabia. Today, the southern border of Saudi Arabia is a region where malaria cases are resurging, and malaria control is dwindling mainly due to the humanitarian crisis and the conflict in Yemen. This study analyses...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893606/ https://www.ncbi.nlm.nih.gov/pubmed/36732819 http://dx.doi.org/10.1186/s12936-023-04467-9 |
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author | Abdalal, Shaymaa A. Yukich, Joshua Andrinoplous, Katherine Harakeh, Steve Altwaim, Sarah A. Gattan, Hattan Carter, Brendan Shammaky, Mohammed Niyazi, Hatoon A. Alruhaili, Mohammed H. Keating, Joseph |
author_facet | Abdalal, Shaymaa A. Yukich, Joshua Andrinoplous, Katherine Harakeh, Steve Altwaim, Sarah A. Gattan, Hattan Carter, Brendan Shammaky, Mohammed Niyazi, Hatoon A. Alruhaili, Mohammed H. Keating, Joseph |
author_sort | Abdalal, Shaymaa A. |
collection | PubMed |
description | BACKGROUND: Border malaria is a major obstacle for the malaria elimination in Saudi Arabia. Today, the southern border of Saudi Arabia is a region where malaria cases are resurging, and malaria control is dwindling mainly due to the humanitarian crisis and the conflict in Yemen. This study analyses the current border malaria epidemiology along the southern border of Saudi Arabia from 2015 to 2018. METHODS: All reported cases maintained by the malaria elimination centres in Aledabi and Baish, Jazan Province, Saudi Arabia, from 2015 to 2018 were analysed to examine the epidemiological changes over time. Pearson’s Chi-Square test of differences was utilized to assess differences between the characteristics of imported and local causes and between border cases. A logistic regression model was used to predict imported status was related to living along side of the border area. RESULTS: A total of 3210 malaria cases were reported in Baish and Aledabi malaria centres between 2015 and 2018, of which 170 were classified as local cases and 3040 were classified as imported cases. Reported malaria cases were mainly among males, within the imported cases 61.5% (1868/3039) were residents of the border areas. CONCLUSIONS: Given the complexity of cross-border malaria, creating a malaria buffer zone that covers a certain margin from both sides of the border would allow for a joint force, cross-border malaria elimination programme. To initiate a malaria elimination activity and cases reported as belonging to this zone, rather than being pushed from one country to the other, would allow malaria elimination staff to work collaboratively with local borderland residents and other stakeholders to come up with innovative solutions to combat malaria and reach malaria-free borders. |
format | Online Article Text |
id | pubmed-9893606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98936062023-02-03 An insight to better understanding cross border malaria in Saudi Arabia Abdalal, Shaymaa A. Yukich, Joshua Andrinoplous, Katherine Harakeh, Steve Altwaim, Sarah A. Gattan, Hattan Carter, Brendan Shammaky, Mohammed Niyazi, Hatoon A. Alruhaili, Mohammed H. Keating, Joseph Malar J Research BACKGROUND: Border malaria is a major obstacle for the malaria elimination in Saudi Arabia. Today, the southern border of Saudi Arabia is a region where malaria cases are resurging, and malaria control is dwindling mainly due to the humanitarian crisis and the conflict in Yemen. This study analyses the current border malaria epidemiology along the southern border of Saudi Arabia from 2015 to 2018. METHODS: All reported cases maintained by the malaria elimination centres in Aledabi and Baish, Jazan Province, Saudi Arabia, from 2015 to 2018 were analysed to examine the epidemiological changes over time. Pearson’s Chi-Square test of differences was utilized to assess differences between the characteristics of imported and local causes and between border cases. A logistic regression model was used to predict imported status was related to living along side of the border area. RESULTS: A total of 3210 malaria cases were reported in Baish and Aledabi malaria centres between 2015 and 2018, of which 170 were classified as local cases and 3040 were classified as imported cases. Reported malaria cases were mainly among males, within the imported cases 61.5% (1868/3039) were residents of the border areas. CONCLUSIONS: Given the complexity of cross-border malaria, creating a malaria buffer zone that covers a certain margin from both sides of the border would allow for a joint force, cross-border malaria elimination programme. To initiate a malaria elimination activity and cases reported as belonging to this zone, rather than being pushed from one country to the other, would allow malaria elimination staff to work collaboratively with local borderland residents and other stakeholders to come up with innovative solutions to combat malaria and reach malaria-free borders. BioMed Central 2023-02-02 /pmc/articles/PMC9893606/ /pubmed/36732819 http://dx.doi.org/10.1186/s12936-023-04467-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Abdalal, Shaymaa A. Yukich, Joshua Andrinoplous, Katherine Harakeh, Steve Altwaim, Sarah A. Gattan, Hattan Carter, Brendan Shammaky, Mohammed Niyazi, Hatoon A. Alruhaili, Mohammed H. Keating, Joseph An insight to better understanding cross border malaria in Saudi Arabia |
title | An insight to better understanding cross border malaria in Saudi Arabia |
title_full | An insight to better understanding cross border malaria in Saudi Arabia |
title_fullStr | An insight to better understanding cross border malaria in Saudi Arabia |
title_full_unstemmed | An insight to better understanding cross border malaria in Saudi Arabia |
title_short | An insight to better understanding cross border malaria in Saudi Arabia |
title_sort | insight to better understanding cross border malaria in saudi arabia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893606/ https://www.ncbi.nlm.nih.gov/pubmed/36732819 http://dx.doi.org/10.1186/s12936-023-04467-9 |
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