Literature DB >> 31836285

Mosquito Age Grading and Vector-Control Programmes.

Brian J Johnson1, Leon E Hugo1, Thomas S Churcher2, Oselyne T W Ong1, Gregor J Devine3.   

Abstract

An ability to characterize the age of mosquito populations could provide cost-effective and compelling entomological evidence for the potential epidemiological impacts of vector control. The average age of a mosquito population is the most important determinant of vectorial capacity and the likelihood of disease transmission. Yet, despite decades of research, defining the age of a wild-caught mosquito remains a challenging, impractical, and unreliable process. Emerging chemometric and existing transcriptional approaches may overcome many of the limitations of current morphological techniques, but their utility in terms of field-based monitoring programmes remains largely untested. Herein, we review the potential advantages and disadvantages of new and existing age-grading tools in an operational context.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  Aedes; Anopheles; age grading; dengue; malaria; mosquito; vector control

Mesh:

Year:  2019        PMID: 31836285     DOI: 10.1016/j.pt.2019.10.011

Source DB:  PubMed          Journal:  Trends Parasitol        ISSN: 1471-4922


  4 in total

1.  Back to the Future: Quantifying Wing Wear as a Method to Measure Mosquito Age.

Authors:  Lyndsey Gray; Bryce C Asay; Blue Hephaestus; Ruth McCabe; Greg Pugh; Erin D Markle; Thomas S Churcher; Brian D Foy
Journal:  Am J Trop Med Hyg       Date:  2022-07-18       Impact factor: 3.707

2.  Rapid age-grading and species identification of natural mosquitoes for malaria surveillance.

Authors:  Doreen J Siria; Roger Sanou; Joshua Mitton; Emmanuel P Mwanga; Abdoulaye Niang; Issiaka Sare; Paul C D Johnson; Geraldine M Foster; Adrien M G Belem; Klaas Wynne; Roderick Murray-Smith; Heather M Ferguson; Mario González-Jiménez; Simon A Babayan; Abdoulaye Diabaté; Fredros O Okumu; Francesco Baldini
Journal:  Nat Commun       Date:  2022-03-21       Impact factor: 14.919

3.  Age-structured vectorial capacity reveals timing, not magnitude of within-mosquito dynamics is critical for arbovirus fitness assessment.

Authors:  E Handly Mayton; A Ryan Tramonte; Helen J Wearing; Rebecca C Christofferson
Journal:  Parasit Vectors       Date:  2020-06-15       Impact factor: 3.876

4.  Use of transcriptional age grading technique to determine the chronological age of Sri Lankan Aedes aegypti and Aedes albopictus females.

Authors:  Thilini Chathurika Weeraratne; S H P Parakrama Karunaratne; Lisa Reimer; W A Priyanka P de Silva; Charles S Wondji
Journal:  Parasit Vectors       Date:  2021-09-26       Impact factor: 3.876

  4 in total

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