Cargando…
Malaria distribution and performance of malaria diagnostic methods in Malaysia (1980–2019): a systematic review
BACKGROUND: Malaysia has already achieved remarkable accomplishments in reaching zero indigenous human malaria cases in 2018. Prompt malaria diagnosis, surveillance and treatment played a key role in the country’s elimination success. Looking at the dynamics of malaria distribution during the last d...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649001/ https://www.ncbi.nlm.nih.gov/pubmed/33160393 http://dx.doi.org/10.1186/s12936-020-03470-8 |
_version_ | 1783607229232971776 |
---|---|
author | Rahim, Mohd Amirul Fitri A. Munajat, Mohd Bakhtiar Idris, Zulkarnain Md |
author_facet | Rahim, Mohd Amirul Fitri A. Munajat, Mohd Bakhtiar Idris, Zulkarnain Md |
author_sort | Rahim, Mohd Amirul Fitri A. |
collection | PubMed |
description | BACKGROUND: Malaysia has already achieved remarkable accomplishments in reaching zero indigenous human malaria cases in 2018. Prompt malaria diagnosis, surveillance and treatment played a key role in the country’s elimination success. Looking at the dynamics of malaria distribution during the last decades might provide important information regarding the potential challenges of such an elimination strategy. This study was performed to gather all data available in term of prevalence or incidence on Plasmodium infections in Malaysia over the last four decades. METHODS: A systematic review of the published English literature was conducted to identify malaria distribution from 1980 to June 2019 in Malaysia. Two investigators independently extracted data from PubMed, Scopus, Web of Science and Elsevier databases for original papers. RESULTS: The review identified 46 epidemiological studies in Malaysia over the 39-year study period, on which sufficient information was available. The majority of studies were conducted in Malaysia Borneo (31/46; 67.4%), followed by Peninsular Malaysia (13/46; 28.3%) and in both areas (2/46; 4.3%). More than half of all studies (28/46; 60.9%) were assessed by both microscopy and PCR. Furthermore, there was a clear trend of decreases of all human malaria species with increasing Plasmodium knowlesi incidence rate throughout the year of sampling period. The summary estimates of sensitivity were higher for P. knowlesi than other Plasmodium species for both microscopy and PCR. Nevertheless, the specificities of summary estimates were similar for microscopy (40–43%), but varied for PCR (2–34%). CONCLUSIONS: This study outlined the epidemiological changes in Plasmodium species distribution in Malaysia. Malaria cases shifted from predominantly caused by human malaria parasites to simian malaria parasites, which accounted for the majority of indigenous cases particularly in Malaysia Borneo. Therefore, malaria case notification and prompt malaria diagnosis in regions where health services are limited in Malaysia should be strengthened and reinforced to achieving the final goal of malaria elimination in the country. |
format | Online Article Text |
id | pubmed-7649001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76490012020-11-09 Malaria distribution and performance of malaria diagnostic methods in Malaysia (1980–2019): a systematic review Rahim, Mohd Amirul Fitri A. Munajat, Mohd Bakhtiar Idris, Zulkarnain Md Malar J Research BACKGROUND: Malaysia has already achieved remarkable accomplishments in reaching zero indigenous human malaria cases in 2018. Prompt malaria diagnosis, surveillance and treatment played a key role in the country’s elimination success. Looking at the dynamics of malaria distribution during the last decades might provide important information regarding the potential challenges of such an elimination strategy. This study was performed to gather all data available in term of prevalence or incidence on Plasmodium infections in Malaysia over the last four decades. METHODS: A systematic review of the published English literature was conducted to identify malaria distribution from 1980 to June 2019 in Malaysia. Two investigators independently extracted data from PubMed, Scopus, Web of Science and Elsevier databases for original papers. RESULTS: The review identified 46 epidemiological studies in Malaysia over the 39-year study period, on which sufficient information was available. The majority of studies were conducted in Malaysia Borneo (31/46; 67.4%), followed by Peninsular Malaysia (13/46; 28.3%) and in both areas (2/46; 4.3%). More than half of all studies (28/46; 60.9%) were assessed by both microscopy and PCR. Furthermore, there was a clear trend of decreases of all human malaria species with increasing Plasmodium knowlesi incidence rate throughout the year of sampling period. The summary estimates of sensitivity were higher for P. knowlesi than other Plasmodium species for both microscopy and PCR. Nevertheless, the specificities of summary estimates were similar for microscopy (40–43%), but varied for PCR (2–34%). CONCLUSIONS: This study outlined the epidemiological changes in Plasmodium species distribution in Malaysia. Malaria cases shifted from predominantly caused by human malaria parasites to simian malaria parasites, which accounted for the majority of indigenous cases particularly in Malaysia Borneo. Therefore, malaria case notification and prompt malaria diagnosis in regions where health services are limited in Malaysia should be strengthened and reinforced to achieving the final goal of malaria elimination in the country. BioMed Central 2020-11-07 /pmc/articles/PMC7649001/ /pubmed/33160393 http://dx.doi.org/10.1186/s12936-020-03470-8 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Rahim, Mohd Amirul Fitri A. Munajat, Mohd Bakhtiar Idris, Zulkarnain Md Malaria distribution and performance of malaria diagnostic methods in Malaysia (1980–2019): a systematic review |
title | Malaria distribution and performance of malaria diagnostic methods in Malaysia (1980–2019): a systematic review |
title_full | Malaria distribution and performance of malaria diagnostic methods in Malaysia (1980–2019): a systematic review |
title_fullStr | Malaria distribution and performance of malaria diagnostic methods in Malaysia (1980–2019): a systematic review |
title_full_unstemmed | Malaria distribution and performance of malaria diagnostic methods in Malaysia (1980–2019): a systematic review |
title_short | Malaria distribution and performance of malaria diagnostic methods in Malaysia (1980–2019): a systematic review |
title_sort | malaria distribution and performance of malaria diagnostic methods in malaysia (1980–2019): a systematic review |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649001/ https://www.ncbi.nlm.nih.gov/pubmed/33160393 http://dx.doi.org/10.1186/s12936-020-03470-8 |
work_keys_str_mv | AT rahimmohdamirulfitria malariadistributionandperformanceofmalariadiagnosticmethodsinmalaysia19802019asystematicreview AT munajatmohdbakhtiar malariadistributionandperformanceofmalariadiagnosticmethodsinmalaysia19802019asystematicreview AT idriszulkarnainmd malariadistributionandperformanceofmalariadiagnosticmethodsinmalaysia19802019asystematicreview |