About
OUR WORK
Our main objective is to be the world leaders in the application of NIR for predicting crucial parameters that aid transmission of mosquito-borne diseases. Some of our prominent work include;
- Detection of Zika virus in Aedes mosquitoes[1]
- Detection of Wolbachia in Aedes mosquitoes[2]
- Detection of Plasmodium in Anopheles mosquitoes[3]
- Age grading and species identification Anopheles mosquitoes [4-11]
- Age grading Aedes aegypti[12] and Aedes albopictus[13] mosquitoes
Call To Action
We are the world’s leading experts in the application of Near-infrared spectroscopy (NIR) technique for mosquito borne diseases. The group partners with labs around the world to develop rapid and inexpensive Near-infrared based models for predicting parameters such as age, infection and species identity.
Patners
OUR PATNERS
Instituto Oswaldo Cruz-Fiocruz
Rio de Janeiro, Brazil.
Here is where we do all our NIR arbovirus work
Kenya Medical Research Institute
Kenya,
We work with Dr Ochomo’s and Dr Maia’s labs to do our NIR malaria work
Marquette University
Marquette, USA
We partner with Marquette University, Wisconsin, USA to develop and refine our machine learning algorithms and to develop novel units for use in developing countries
United States Department of Agriculture
Kansas, USA
USDA enables capacity building for NIRSID by providing hardware and training
Our Team
Our Team
Publications
Publications
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Fernandes JN, dos Santos LMB, Chouin-Carneiro T,
Pavan MG, Garcia GA, David MR, Beier JC, Dowell FE, Maciel-de-Freitas R,
Sikulu-Lord MT: Rapid, noninvasive detection of Zika virus in Aedes aegypti
mosquitoes by near-infrared spectroscopy. Science Advances 2018, 4. -
Sikulu-Lord MT, Maia MF, Milali MP, Henry M, Mkandawile G, Kho EA, Wirtz RA,
Hugo LE, Dowell FE, Devine GJ: Rapid and Non-destructive Detection and Identification of Two Strains
of Wolbachia Aedes aegypti by Near-Infrared Spectroscopy. PLoS Negl Trop Dis 2016, 10:e0004759. -
Maia MF, Kapulu M, Muthui M, Wagah MG, Ferguson HM, Dowell FE, Baldini F,
The influence of physiological status on age prediction of Anopheles arabiensis using near infra-red spectroscopy. Parasite Vector 2013, 6:298.
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Ntamatungiro A, Mayagaya V, Rieben S, Moore S, Dowell F, Maia M:
The influence of physiological status on age prediction of Anopheles arabiensis using
near infra-red spectroscopy. Parasite Vector 2013, 6:298. -
Mayagaya V, Michel K, Benedict M, Killeen G, Wirtz R, Ferguson H, Dowell F:
Non-destructive determination of age and species of Anopheles gambiae s.l. using Near-infrared spectroscopy. Am J Trop Med Hyg 2009, 81:622 – 630.
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Masabho Peter Milali MTS-L, Samson S Kiware, Floyd E Dowell, Richard J Povinelli and George F. Corliss. :
Do NIR Spectra Collected for Laboratory reared Mosquitoes Differ from Those Collected from Wild Mosquitoes. PLOS ONE 2018, Recommended for publication. Final minor comments submitted on 15/03/2018.
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Dowell FE, Noutcha AEM, Michel K: The effect of preservation methods on
predicting mosquito age by near Infrared spectroscopy. Am J Trop Med Hyg 2011, 85:1093-1096.
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Sikulu M, Dowell K, Hugo L, Wirtz R, Michel K, Peiris K, Moore S, Killeen G,
Dowell F: Evaluating RNAlater as a preservative for using near-infrared spectroscopy to predict Anopheles gambiae age and species. Malar J 2011, 10:186.
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Sikulu M, Killeen G, Hugo L, Ryan P, Dowell K, Wirtz R, Moore S, Dowell F:
Near-infrared spectroscopy as a complementary age grading and species identification tool for African malaria vectors. Parasite Vector 2010, 3:49.
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Sikulu MT, Majambere S, Khatib BO, Ali AS, Hugo LE, Dowell FE:
Using a Near-infrared spectrometer to estimate the age of Anopheles mosquitoes exposed to pyrethroids. PLoS One 2014, 9:e90657.
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Milali MP, Sikulu-Lord MT, Kiware SS, Dowell FE, Povinelli RJ, Corliss GF:
Do NIR spectra collected from laboratory-reared mosquitoes differ from those collected from wild mosquitoes? PloS one 2018, 13:e0198245.
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Sikulu-Lord MT, Milali MP, Henry M, Wirtz RA, Hugo LE, Dowell FE, Devine GJ:
Near-infrared spectroscopy, a rapid method for predicting the age of male and female wild-type and Wolbachia infected Aedes aegypti. PLoS Negl Trop Dis 2016, 10:e0005040.
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Sikulu-Lord MT, Devine GJ, Hugo LE, Dowell FE:
First report on the application of near-infrared spectroscopy to predict the age of Aedes albopictus Skuse. Scientific Reports 2018, 8:9590.
Contact
Contact Us
Location:
Worldwide
Email:
hello@specdataconsultants.com