Title |
Novel molecular diagnostic tools for malaria elimination: a review of options from the point of view of high-throughput and applicability in resource limited settings
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Published in |
Malaria Journal, February 2016
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DOI | 10.1186/s12936-016-1158-0 |
Pubmed ID | |
Authors |
Sumudu Britton, Qin Cheng, James S. McCarthy |
Abstract |
As malaria transmission continues to decrease, an increasing number of countries will enter pre-elimination and elimination. To interrupt transmission, changes in control strategies are likely to require more accurate identification of all carriers of Plasmodium parasites, both symptomatic and asymptomatic, using diagnostic tools that are highly sensitive, high throughput and with fast turnaround times preferably performed in local health service settings. Currently available immunochromatographic lateral flow rapid diagnostic tests and field microscopy are unlikely to consistently detect infections at parasite densities less than 100 parasites/µL making them insufficiently sensitive for detecting all carriers. Molecular diagnostic platforms, such as PCR and LAMP, are currently available in reference laboratories, but at a cost both financially and in turnaround time. This review describes the recent progress in developing molecular diagnostic tools in terms of their capacity for high throughput and potential for performance in non-reference laboratories for malaria elimination. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Members of the public | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | <1% |
United States | 1 | <1% |
Greece | 1 | <1% |
Germany | 1 | <1% |
Unknown | 250 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 43 | 17% |
Student > Master | 39 | 15% |
Researcher | 32 | 13% |
Student > Bachelor | 28 | 11% |
Student > Postgraduate | 14 | 6% |
Other | 34 | 13% |
Unknown | 64 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 43 | 17% |
Medicine and Dentistry | 39 | 15% |
Agricultural and Biological Sciences | 34 | 13% |
Immunology and Microbiology | 23 | 9% |
Engineering | 10 | 4% |
Other | 25 | 10% |
Unknown | 80 | 31% |