z-logo
open-access-imgOpen Access
Incidence of Malaria in the Interior Division of Sabah, Malaysian Borneo, Based on Nested PCR
Author(s) -
Wan.Fen Joveen-Neoh,
Ka Lung Chong,
Carissa Wong,
Tiek Ying Lau
Publication year - 2011
Publication title -
journal of parasitology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.46
H-Index - 27
eISSN - 2090-0031
pISSN - 2090-0023
DOI - 10.1155/2011/104284
Subject(s) - division (mathematics) , nested polymerase chain reaction , incidence (geometry) , malaria , nested set model , nested case control study , veterinary medicine , medicine , computer science , geography , environmental health , biology , pathology , data mining , polymerase chain reaction , genetics , mathematics , arithmetic , odds ratio , gene , geometry , relational database
. Malaria is currently one of the most prevalent parasite-transmitted diseases caused by parasites of the genus Plasmodium . Misidentification of human malaria parasites especially P. knowlesi based on microscopic examination is very common. The objectives of this paper were to accurately identify the incidence of human malaria parasites in the interior division of Sabah, Malaysian Borneo, based on small subunit ribosomal RNA ( ssrRNA ) and to determine the misidentification rate in human malaria parasites. Methods . Nested PCR was used to detect the presence of human malaria parasites. A total of 243 blood spot samples from patients who had requested for blood film for malaria parasite (BFMP) analyses were used in this study. Results . Nested PCR findings showed that there was no P. malariae infection while the highest prevalent malaria parasite was P. knowlesi , followed by P. vivax , P. falciparum , and mixed infection. Only 69.5% of the 243 samples giving consistent nested PCR and microscopic results. Conclusion . The preliminary findings from molecular detection of malaria showed that P. knowlesi was the most prevalent Plasmodium species in the interior division of Sabah. The findings from this paper may provide a clearer picture on the actual transmission of different Plasmodium species in this region.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom