Article
High throughput estimates of Wolbachia, Zika and chikungunya infection in Aedes aegypti by near-infrared spectroscopy to improve arbovirus surveillance
Registro en:
SANTOS, Lilha M. B. et al. High throughput estimates of Wolbachia, Zika and chikungunya infection in Aedes aegypti by near-infrared spectroscopy to improve arbovirus surveillance. Communications Biology, v. 4, n. 67, 9 p, 2021.
2399-3642
10.1038/s42003-020-01601-0
Autor
Santos, Lilha M. B
Mutsaers, Mathijs
Garcia, Gabriela A.
David, Mariana R.
Pavan, Márcio G.
Petersen, Martha T.
Antônio, Jessica Corrêa
Lima, Dinair Couto
Maes, Louis
Dowell, Floyd
Lord, Anton
Sikulu-Lord, Maggy
Freitas, Rafael Maciel de
Resumen
Deployment of Wolbachia to mitigate dengue (DENV), Zika (ZIKV) and chikungunya
(CHIKV) transmission is ongoing in 12 countries. One way to assess the efficacy of Wolbachia
releases is to determine invasion rates within the wild population of Aedes aegypti following
their release. Herein we evaluated the accuracy, sensitivity and specificity of the Near
Infrared Spectroscopy (NIRS) in estimating the time post death, ZIKV-, CHIKV-, and Wol bachia-infection in trapped dead female Ae. aegypti mosquitoes over a period of 7 days.
Regardless of the infection type, time post-death of mosquitoes was accurately predicted into
four categories (fresh, 1 day old, 2–4 days old and 5–7 days old). Overall accuracies of 93.2,
97 and 90.3% were observed when NIRS was used to detect ZIKV, CHIKV and Wolbachia in
dead Ae. aegypti female mosquitoes indicating NIRS could be potentially applied as a rapid
and cost-effective arbovirus surveillance tool. However, field data is required to demonstrate
the full capacity of NIRS for detecting these infections under field conditions.