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DataCC0 V1.0, Open Access
Dataset
Underlying data for 'Rapid molecular assays for the detection of the four dengue viruses in infected mosquitoes'
Dryad
Dryad
2022
Abstract
The pantropic emergence of severe dengue disease can partly be attributed to the co-circulation of different dengue viruses (DENVs) in the same geographical location. Effective monitoring for circulation of each of the four DENVs is critical to inform disease mitigation strategies. In low resource settings, this can be effectively achieved by utilizing inexpensive, rapid, sensitive and specific assays to detect viruses in mosquito populations. In this study, we developed four rapid DENV tests with direct applicability for low-resource virus surveillance in mosquitoes. The test protocols utilize a novel sample preparation step, a single-temperature isothermal amplification, and a simple lateral flow detection. Analytical sensitivity testing demonstrated tests could detect down to 1,000 copies/µL of virus-specific DENV RNA, and analytical specificity testing indicated tests were highly specific for their respective virus, and did not detect closely related flaviviruses. All four DENV tests showed excellent diagnostic specificity and sensitivity when used for detection of both individually infected mosquitoes and infected mosquitoes in pools of uninfected mosquitoes. With individually infected mosquitoes, the rapid DENV-1, -2 and -3 tests showed 100% diagnostic sensitivity (95% CI = 69% to 100%, n=8 for DENV-1; n=10 for DENV 2,3) and the DENV-4 test showed 92% diagnostic sensitivity (CI: 62% to 100%, n=12) along with 100% diagnostic specificity (CI: 48–100%) for all four tests. Testing infected mosquito pools, the rapid DENV-2, -3 and -4 tests showed 100% diagnostic sensitivity (95% CI = 69% to 100%, n=10) and the DENV-1 test showed 90% diagnostic sensitivity (55.50% to 99.75%, n=10) together with 100% diagnostic specificity (CI: 48–100%). Our tests reduce the operational time required to perform mosquito infection status surveillance testing from > two hours to only 35 minutes, and have potential to improve accessibility of mosquito screening, improving monitoring and control strategies in low-income countries most affected by dengue outbreaks.
Details
- Title
- Underlying data for 'Rapid molecular assays for the detection of the four dengue viruses in infected mosquitoes'
- Authors
- Joanne Macdonald (Data Collector) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringMadeeha Ahmed (Data Collector) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringNina Pollak (Data Collector) - University of the Sunshine Coast, Queensland, Centre for BioinnovationAndrew Van Den Hurk (Data Collector) - Department of Health and Aged CareLeon Hugo (Data Collector) - QIMR Berghofer Medical Research InstituteJody Hobson-Peters (Data Collector) - The University of Queensland
- Publication details
- Dryad
- Format
- 6 xlsx files and 1 txt file; Total 7.79 MB
- Publisher
- Dryad
- Date published
- 2022
- DOI
- 10.5061/dryad.kd51c5b7d
- Grants
- A single rapid field test for detecting Wolbachia, malaria and dengue in caught material, OPP1140133, Gates Foundation (United States, Seattle) - BMGF
- Grant note
- AQIRF067-2020-CV / Advance Queensland Industry Research Fellowship; DMTC Limited Medical Countermeasures Program; University of the Sunshine Coast (https://ror.org/016gb9e15).
- Organisation Unit
- School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 991146736902621
- Output Type
- Dataset
Metrics
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