Molecular Method Is Essential to Identify Asymptomatic Malaria Reservoirs : A Successful Experience in the Malaria Elimination Program in Iran

Background: The accurate diagnosis of malaria cases, especially asymptotic and low-parasitemia patients, using robust molecular methods (nested-PCR) have been emphasized. The goal of this study was to detect active cases of malaria in areas with a history of local malaria transmission focusing on the use of molecular tools to ensure that the malaria elimination program has been implemented successfully. Methods: In this cross-sectional study, 816 blood samples were taken from immigrants and local residents of malaria-endemic areas in Hormozgan province, Iran. In order to identify asymptomatic malaria parasite reservoirs, the samples were examined using microscopic, RDT, and nested-PCR techniques. Results: About twelve positive asymptomatic malaria cases were identified when the molecular method (nested-PCR) was used. The positivity rates among immigrants and local residents were 2.07% and 0.93%, respectively. No positive cases were detected using microscopic and RDT methods. Conclusions: The finding of the research emphasize that in addition to microscopy and RDTs methods, sensitive molecular tools as a standard and essential strategy are needed in the diagnosis and detection of asymptomatic parasite reservoir.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

Diagnostics (Basel, Switzerland) - 12(2022), 12 vom: 02. Dez.

Sprache:

Englisch

Beteiligte Personen:

Shamseddin, Jebreil [VerfasserIn]
Ghanbarnejad, Amin [VerfasserIn]
Zakeri, Abdoljabbar [VerfasserIn]
Abedi, Farshid [VerfasserIn]
Khojasteh, Shaghayegh [VerfasserIn]
Turki, Habibollah [VerfasserIn]

Links:

Volltext

Themen:

Case detection
Diagnostic
Elimination program
Journal Article
Low-density infection
Malaria
Molecular techniques

Anmerkungen:

Date Revised 25.12.2022

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/diagnostics12123025

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM35064554X