Imperial College London
Portrait Picture

ProfessorThomasChurcher

Faculty of Medicine, School of Public Health

Professor of Infectious Disease Dynamics
 
 
 
//

Contact

 

thomas.churcher

 
 
//

Location

 

G35Medical SchoolSt Mary's Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Ong:2020:10.1186/s13071-020-04031-3,
author = {Ong, OTC and Kho, EA and Esperanca, PM and Freebairn, C and Dowell, FE and Devine, GJ and Churcher, TS},
doi = {10.1186/s13071-020-04031-3},
journal = {Parasites and Vectors},
title = {Ability of near-infrared spectroscopy and chemometrics to predict the age of mosquitoes reared under different conditions},
url = {http://dx.doi.org/10.1186/s13071-020-04031-3},
volume = {13},
year = {2020}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundPractical, field-ready age-grading tools for mosquito vectors of disease are urgently needed because of the impact that daily survival has on vectorial capacity. Previous studies have shown that near-infrared spectroscopy (NIRS), in combination with chemometrics and predictive modeling, can forecast the age of laboratory-reared mosquitoes with moderate to high accuracy. It remains unclear whether the technique has utility for identifying shifts in the age structure of wild-caught mosquitoes. Here we investigate whether models derived from the laboratory strain of mosquitoes can be used to predict the age of mosquitoes grown from pupae collected in the field.MethodsNIRS data from adult female Aedes albopictus mosquitoes reared in the laboratory (2, 5, 8, 12 and 15 days-old) were analysed against spectra from mosquitoes emerging from wild-caught pupae (1, 7 and 14 days-old). Different partial least squares (PLS) regression methods trained on spectra from laboratory mosquitoes were evaluated on their ability to predict the age of mosquitoes from more natural environments.ResultsModels trained on spectra from laboratory-reared material were able to predict the age of other laboratory-reared mosquitoes with moderate accuracy and successfully differentiated all day 2 and 15 mosquitoes. Models derived with laboratory mosquitoes could not differentiate between field-derived age groups, with age predictions relatively indistinguishable for day 1–14. Pre-processing of spectral data and improving the PLS regression framework to avoid overfitting can increase accuracy, but predictions of mosquitoes reared in different environments remained poor. Principal components analysis confirms substantial spectral variations between laboratory and field-derived mosquitoes despite both originating from the same island population.ConclusionsModels trained on laboratory mosquitoes were able to predict ages of laboratory mosquitoes with good sensitivity and specificity though
AU  - Ong,OTC
AU  - Kho,EA
AU  - Esperanca,PM
AU  - Freebairn,C
AU  - Dowell,FE
AU  - Devine,GJ
AU  - Churcher,TS
DO  - 10.1186/s13071-020-04031-3
PY  - 2020///
SN  - 1756-3305
TI  - Ability of near-infrared spectroscopy and chemometrics to predict the age of mosquitoes reared under different conditions
T2  - Parasites and Vectors
UR  - http://dx.doi.org/10.1186/s13071-020-04031-3
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000523701000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/79023
VL  - 13
ER  -
Download