Open AccessImplementation of molecular method in routine malaria diagnosis and entomological studies
Author(s) -
Nitika Pradhan,
Animesha Rath,
Barsa Baisalini Panda,
Ipsita Mohanty,
Nilam Somalkar,
Rupenangshu K. Hazra
Publication year - 2020
Publication title -
journal of vector borne diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.581
H-Index - 41
ISSN - 0972-9062
DOI - 10.4103/0972-9062.313973
Subject(s) - malaria , diagnosis of malaria , vector (molecular biology) , identification (biology) , gold standard (test) , computer science , biology , computational biology , artificial intelligence , medicine , plasmodium falciparum , ecology , immunology , biochemistry , gene , recombinant dna
Molecular methods for malaria vector species and parasite identification have received great attention in recent years. Accurate and precise identification of the target species has direct medical and practical implications, such as in malaria diagnosis and vector dynamics study. Translation of molecular techniques will help in evaluation of epidemiological and entomological profile of malaria even in highly inaccessible areas where there is lack of an expert microscopist or entomologist.