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Converging human and malaria vector diagnostics with data management towards an integrated holistic One Health approach

Mitsakakis, Konstantinos and Hin, Sebastian and Müller, Pie and Wipf, Nadja and Thomsen, Edward and Coleman, Michael and Zengerle, Roland and Vontas, John and Mavridis, Konstantinos. (2018) Converging human and malaria vector diagnostics with data management towards an integrated holistic One Health approach. International journal of environmental research and public health, 15 (2). p. 259.

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Abstract

Monitoring malaria prevalence in humans, as well as vector populations, for the presence of Plasmodium, is an integral component of effective malaria control, and eventually, elimination. In the field of human diagnostics, a major challenge is the ability to define, precisely, the causative agent of fever, thereby differentiating among several candidate (also non-malaria) febrile diseases. This requires genetic-based pathogen identification and multiplexed analysis, which, in combination, are hardly provided by the current gold standard diagnostic tools. In the field of vectors, an essential component of control programs is the detection of Plasmodium species within its mosquito vectors, particularly in the salivary glands, where the infective sporozoites reside. In addition, the identification of species composition and insecticide resistance alleles within vector populations is a primary task in routine monitoring activities, aiming to support control efforts. In this context, the use of converging diagnostics is highly desirable for providing comprehensive information, including differential fever diagnosis in humans, and mosquito species composition, infection status, and resistance to insecticides of vectors. Nevertheless, the two fields of human diagnostics and vector control are rarely combined, both at the diagnostic and at the data management end, resulting in fragmented data and mis- or non-communication between various stakeholders. To this direction, molecular technologies, their integration in automated platforms, and the co-assessment of data from multiple diagnostic sources through information and communication technologies are possible pathways towards a unified human vector approach.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Health Interventions > Vector Control Centre (Müller)
UniBasel Contributors:Müller, Pie and Wipf, Nadja
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Multidisciplinary Digital Publishing Institute
ISSN:1661-7827
e-ISSN:1660-4601
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Identification Number:
Last Modified:14 Feb 2018 14:17
Deposited On:14 Feb 2018 14:17

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