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Dr Maggy Lord
Dr

Maggy Lord

Email: 
Phone: 
+61 7 336 52516

Overview

Background

Dr Lord currently leads the Lord lab within the School of the Environment at the University of Queensland. The Lord lab research focuses on developing novel and rapid next generation surveillance and diagnostic tools for detection of pathogens in humans, animals and the environment and for characterising disease carrying vectors. Their current specialisation include the development of non-invasive tools based on spectroscopy techniques. Dr Lord pioneered the application of near-infrared spectroscopy technique for non-invasive detection of several pathogens in mosquito vectors such as Wolbachia, Zika, Dengue and Chikungunya and for differentiation of morphologically identical mosquito species. Her lab recently pioneered its application for non-invasive detection of malaria through tthe skin of people in partnership with the Australian Defence Force and Instituto Oswaldo Cruz, Brazil.

In the last 5 years, the Lord team attracted multi-site, national and international research funding from the Bill and Melinda Gates Foundation, USAID, NHMRC, AQIRF and Grand challenges Canada as the Chief Investigator to develop rapid tools for large scale surveillance of vector control programs

Current Research interests: Development of spectroscopy tools for ports of entry for rapid identification of exotic insect species, detection of pathogens in humans and the environment

STEM Spotlight is a STEM mentorship program directed by Dr Lord whose main aim is to provide a safe and engaging space for students from CALD communities to engage in STEM activities at UQ.The program aims to encourage Students from CALD Backgrounds to pursue STEM career options. In 2023 Dr Lord was awarded Diversity and Inclusion Champion award by the Department of Multicultural affairs for this work (Diversity and Inclusion Champion award 2023).

The next STEM Spotlight event will be held at UQ St Lucia campus on the 22nd Nov, 2024. If your school would like to participate in this event, please fill in the expression of interest form Here

Availability

Dr Maggy Lord is:
Available for supervision
Media expert

Qualifications

  • Doctor of Philosophy, Griffith University

Research interests

  • Mosquitoes of medical importance

    Characterization of mosquito population to determine disease transmission capability

  • Mosquito-borne disease

    Development of rapid and non-invasive diagnostic tools

Research impacts

Our team develops rapid and non-invasive novel surveillance and diagnostic tools for multiple infectious diseases for humans and the environment. We collaborate with scientists from Fiocruz, CDC, USDA, JCU, Instituto Oswaldo Cruz (Brazil), Australian Defence Force, and Kenya Medical Research Institute. We focus on testing the applicability of next generation tools using rapid, high throughput, cost effective and user friendly light-based, spectroscopy devices. These tools are intended to inform public health personnel in a timely manner, on the effectiveness of an intervention, guide ellimination and predict potential disease hotspots to stop a possible outbreak.

Works

Search Professor Maggy Lord’s works on UQ eSpace

56 works between 2009 and 2024

1 - 20 of 56 works

2024

Journal Article

Rapid assessment of the blood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spectroscopy and machine learning

Mwanga, Emmanuel P., Mchola, Idrisa S., Makala, Faraja E., Mshani, Issa H., Siria, Doreen J., Mwinyi, Sophia H., Abbasi, Said, Seleman, Godian, Mgaya, Jacqueline N., Jiménez, Mario González, Wynne, Klaas, Sikulu-Lord, Maggy T., Selvaraj, Prashanth, Okumu, Fredros O., Baldini, Francesco and Babayan, Simon A. (2024). Rapid assessment of the blood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spectroscopy and machine learning. Malaria Journal, 23 (1) 86. doi: 10.1186/s12936-024-04915-0

Rapid assessment of the blood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spectroscopy and machine learning

2024

Journal Article

Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning

Sikulu-Lord, Maggy T., Edstein, Michael D., Goh, Brendon, Lord, Anton R., Travis, Jye A., Dowell, Floyd E., Birrell, Geoffrey W. and Chavchich, Marina (2024). Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning. PLoS One, 19 (3) e0289232, 1-18. doi: 10.1371/journal.pone.0289232

Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning

2023

Journal Article

Near-infrared spectroscopy and machine learning algorithms for rapid and non-invasive detection of Trichuris

Kariyawasam, Tharanga N., Ciocchetta, Silvia, Visendi, Paul, Soares Magalhães, Ricardo J., Smith, Maxine E., Giacomin, Paul R. and Sikulu-Lord, Maggy T. (2023). Near-infrared spectroscopy and machine learning algorithms for rapid and non-invasive detection of Trichuris. PLOS Neglected Tropical Diseases, 17 (11) e0011695, e0011695. doi: 10.1371/journal.pntd.0011695

Near-infrared spectroscopy and machine learning algorithms for rapid and non-invasive detection of Trichuris

2023

Journal Article

Key considerations, target product profiles, and research gaps in the application of infrared spectroscopy and artificial intelligence for malaria surveillance and diagnosis

Mshani, Issa H., Siria, Doreen J., Mwanga, Emmanuel P., Sow, Bazoumana Bd., Sanou, Roger, Opiyo, Mercy, Sikulu-Lord, Maggy T., Ferguson, Heather M., Diabate, Abdoulaye, Wynne, Klaas, González-Jiménez, Mario, Baldini, Francesco, Babayan, Simon A. and Okumu, Fredros (2023). Key considerations, target product profiles, and research gaps in the application of infrared spectroscopy and artificial intelligence for malaria surveillance and diagnosis. Malaria Journal, 22 (1) 346. doi: 10.1186/s12936-023-04780-3

Key considerations, target product profiles, and research gaps in the application of infrared spectroscopy and artificial intelligence for malaria surveillance and diagnosis

2023

Other Outputs

Machine learning and detection of Trichuris muris in mice

Kariyawasam, Tharanga, Lord, Maggy and Ciocchetta, Silvia (2023). Machine learning and detection of Trichuris muris in mice. The University of Queensland. (Dataset) doi: 10.48610/7f11f9f

Machine learning and detection of Trichuris muris in mice

2023

Journal Article

Rapid and non-invasive detection of Aedes aegypti co-infected with Zika and dengue viruses using near infrared spectroscopy

Garcia, Gabriela A., Lord, Anton R., Santos, Lilha M. B., Kariyawasam, Tharanga N., David, Mariana R., Couto-Lima, Dinair, Tátila-Ferreira, Aline, Pavan, Márcio G., Sikulu-Lord, Maggy T. and Maciel-de-Freitas, Rafael (2023). Rapid and non-invasive detection of Aedes aegypti co-infected with Zika and dengue viruses using near infrared spectroscopy. Viruses, 15 (1) 11, 11. doi: 10.3390/v15010011

Rapid and non-invasive detection of Aedes aegypti co-infected with Zika and dengue viruses using near infrared spectroscopy

2023

Journal Article

State of the art and the future of fecal analysis using infrared spectroscopy

Kho, Elise A., Fernandes, Jill N., Tilbrook, Alan J., Fox, Glen P., Sikulu-Lord, Maggy T., Kotze, Andrew C., Beasley, Anne M., James, Peter J., Tolleson, Douglas R. and Cozzolino, Daniel (2023). State of the art and the future of fecal analysis using infrared spectroscopy. Applied Spectroscopy Reviews, 58 (10), 755-785. doi: 10.1080/05704928.2022.2143795

State of the art and the future of fecal analysis using infrared spectroscopy

2023

Other Outputs

Spectral Data for Plasmodium

Lord, Maggy (2023). Spectral Data for Plasmodium. The University of Queensland. (Dataset) doi: 10.48610/5ecd1e8

Spectral Data for Plasmodium

2022

Other Outputs

Infrared signtures collected non-invasively from malaria positive and negative indviduals in Brazil

Kariyawasam Haputhanthri Kankanamge, Tharanga and Lord, Maggy (2022). Infrared signtures collected non-invasively from malaria positive and negative indviduals in Brazil. The University of Queensland. (Dataset) doi: 10.48610/e19e6fc

Infrared signtures collected non-invasively from malaria positive and negative indviduals in Brazil

2022

Conference Publication

Novel diagnostic tools for soil transmitted helminths with non-invasive capability. The nearinfrared spectroscopy and artificial intelligence

Sikulu-Lord, Maggy T., Kariyawasam, Tharanga, Ciocchetta, Silvia, Soares Magalhaes, Ricardo J. and Giacomin, Paul (2022). Novel diagnostic tools for soil transmitted helminths with non-invasive capability. The nearinfrared spectroscopy and artificial intelligence. American Society of Tropical Medicine and Hygiene 2022 Annual Meeting, Seattle, WA, United States, October 30 - November 3, 2022. Arlington, VA United States: American Society of Tropical Medicine and Hygiene.

Novel diagnostic tools for soil transmitted helminths with non-invasive capability. The nearinfrared spectroscopy and artificial intelligence

2022

Conference Publication

In vitro detection of dengue 1 virus in human whole blood, plasma, and serum with nearinfrared spectroscopy

Goh, Brendon, Visendi, Paul, Ciocchetta, Silvia, Soares, Ricardo, Liu, Wenjun and Lord, Maggy (2022). In vitro detection of dengue 1 virus in human whole blood, plasma, and serum with nearinfrared spectroscopy. American Society of Tropical Medicine and Hygiene 2022 Annual Meeting, Seattle, WA, United States, October 30 - November 3, 2022. Arlington, VA United States: American Society of Tropical Medicine and Hygiene.

In vitro detection of dengue 1 virus in human whole blood, plasma, and serum with nearinfrared spectroscopy

2022

Journal Article

Malaria absorption peaks acquired through the skin of patients with infrared light can detect patients with varying parasitemia

Garcia, Gabriela A., Kariyawasam, Tharanga N., Lord, Anton R., da Costa, Cristiano Fernandes, Chaves, Lana Bitencourt, Lima-Junior, Josué da Costa, Maciel-de-Freitas, Rafael and Sikulu-Lord, Maggy T. (2022). Malaria absorption peaks acquired through the skin of patients with infrared light can detect patients with varying parasitemia. PNAS Nexus, 1 (5) pgac272, pgac272. doi: 10.1093/pnasnexus/pgac272

Malaria absorption peaks acquired through the skin of patients with infrared light can detect patients with varying parasitemia

2022

Journal Article

First report of the detection of DENV1 in human blood plasma with near-infrared spectroscopy

Goh, Brendon, Visendi, Paul, Lord, Anton R., Ciocchetta, Silvia, Liu, Wenjun and Sikulu-Lord, Maggy T. (2022). First report of the detection of DENV1 in human blood plasma with near-infrared spectroscopy. Viruses, 14 (10) 2248, 2248. doi: 10.3390/v14102248

First report of the detection of DENV1 in human blood plasma with near-infrared spectroscopy

2022

Journal Article

Near-infrared spectroscopy as a feasible method for the differentiation of Neisseria gonorrhoeae from Neisseria commensals and antimicrobial resistant from susceptible gonococcal strains

Alharbi, Bushra, Cozzolino, Daniel, Sikulu-Lord, Maggy, Whiley, David and Trembizki, Ella (2022). Near-infrared spectroscopy as a feasible method for the differentiation of Neisseria gonorrhoeae from Neisseria commensals and antimicrobial resistant from susceptible gonococcal strains. Journal of Microbiological Methods, 201 106576, 106576. doi: 10.1016/j.mimet.2022.106576

Near-infrared spectroscopy as a feasible method for the differentiation of Neisseria gonorrhoeae from Neisseria commensals and antimicrobial resistant from susceptible gonococcal strains

2022

Book Chapter

Application of infrared techniques for characterisation of vector-borne disease vectors

Sikulu-Lord, Maggy and Maciel-de-Freitas, Rafael (2022). Application of infrared techniques for characterisation of vector-borne disease vectors. Infrared Spectroscopy - Perspectives and Applications [Working Title]. (pp. 1-19) edited by Marwa El-Azazy, Khalid Al-Saad and Ahmed S. El-Shafie. London, United Kingdom: IntechOpen. doi: 10.5772/intechopen.106941

Application of infrared techniques for characterisation of vector-borne disease vectors

2021

Journal Article

Near infrared spectroscopy accurately detects Trypanosoma cruzi non-destructively in midguts, rectum and excreta samples of Triatoma infestans

Tátila-Ferreira, Aline, Garcia, Gabriela A., dos Santos, Lilha M. B., Pavan, Márcio G., de C. Moreira, Carlos José, Victoriano, Juliana C., da Silva-Junior, Renato, dos Santos-Mallet, Jacenir R., Verly, Thaiane, Britto, Constança, Sikulu-Lord, Maggy T. and Maciel-de-Freitas, Rafael (2021). Near infrared spectroscopy accurately detects Trypanosoma cruzi non-destructively in midguts, rectum and excreta samples of Triatoma infestans. Scientific Reports, 11 (1) 23884, 23884. doi: 10.1038/s41598-021-03465-8

Near infrared spectroscopy accurately detects Trypanosoma cruzi non-destructively in midguts, rectum and excreta samples of Triatoma infestans

2021

Conference Publication

The near-infrared spectroscopy technique can non-invasively detect malaria parasites through the skin of mice

Sikulu-Lord, Maggy, Lord, Anton Richard, Goh, Brendon, Travis, Jye, Birrell, Geoffrey W., Chavchich, Marina, Harris, Ivor E., Mcleod-Robertson, Stephen, Kent, Anthony, Vanbreda, Karin and Edstein, Michael D. (2021). The near-infrared spectroscopy technique can non-invasively detect malaria parasites through the skin of mice. ASTMH Annual Meeting, Virtual, 17-21 November 2021. Deerfield, IL, United States: American Society of Tropical Medicine and Hygiene. doi: 10.4269/ajtmh.abstract2021

The near-infrared spectroscopy technique can non-invasively detect malaria parasites through the skin of mice

2021

Journal Article

The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence

Goh, Brendon, Ching, Koek, Soares Magalhães, Ricardo J., Ciocchetta, Silvia, Edstein, Michael D., Maciel-de-Freitas, Rafael and Sikulu-Lord, Maggy T. (2021). The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence. PLoS Neglected Tropical Diseases, 15 (4) e0009218, 1-24. doi: 10.1371/journal.pntd.0009218

The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence

2021

Journal Article

High throughput estimates of Wolbachia, Zika and chikungunya infection in Aedes aegypti by near-infrared spectroscopy to improve arbovirus surveillance

Santos, Lilha M. B., Mutsaers, Mathijs, Garcia, Gabriela A., David, Mariana R., Pavan, Marcio G., Petersen, Martha T., Correa-Antonio, Jessica, Couto-Lima, Dinair, Maes, Louis, Dowell, Floyd, Lord, Anton, Sikulu-Lord, Maggy and Maciel-de-Freitas, Rafael (2021). High throughput estimates of Wolbachia, Zika and chikungunya infection in Aedes aegypti by near-infrared spectroscopy to improve arbovirus surveillance. Communications Biology, 4 (1) 67, 67. doi: 10.1038/s42003-020-01601-0

High throughput estimates of Wolbachia, Zika and chikungunya infection in Aedes aegypti by near-infrared spectroscopy to improve arbovirus surveillance

2020

Journal Article

Influence of environmental factors on the detection of blood in sheep faeces using visible-near-infrared spectroscopy as a measure of Haemonchus contortus infection

Kho, Elise A., Fernandes, Jill N., Kotze, Andrew C., Fox, Glen P., Sikulu-Lord, Maggy T., Beasley, Anne M., Moore, Stephen S. and James, Peter J. (2020). Influence of environmental factors on the detection of blood in sheep faeces using visible-near-infrared spectroscopy as a measure of Haemonchus contortus infection. Parasites and Vectors, 13 (1) 591, 591. doi: 10.1186/s13071-020-04468-6

Influence of environmental factors on the detection of blood in sheep faeces using visible-near-infrared spectroscopy as a measure of Haemonchus contortus infection

Funding

Current funding

  • 2021 - 2025
    Advancing enhanced biosecurity of major arboviral and other vector-borne diseases in Australia through near infrared spectroscopy technology
    NHMRC IDEAS Grants
    Open grant

Past funding

  • 2019 - 2023
    Development of instantaneous ultra-sensitive diagnostic tool to guide malaria elimination
    NHMRC Project Grant
    Open grant
  • 2019 - 2020
    UQ AWARE - Dr Maggy Lord
    UQ Amplify Women's Academic Research Equity
    Open grant
  • 2017
    Dr Maggy Lord - Maternity Funding (Advance Queensland Women's Academic Fund)
    Queensland Government Advance Queensland Women's Academic Fund
    Open grant
  • 2016 - 2019
    Application of NIRS for arbovirus detection
    United States Agency for International Development
    Open grant

Supervision

Availability

Dr Maggy Lord is:
Available for supervision

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Available projects

  • Mosquito microbiome and pathogen interaction

    This PhD project aims to assess the role of probiotics as a potential transmission blocking tool for arboviruses and parasites transmitted by mosquitoes. Interested students will analyse the interaction of the mosquito microbiome and various pathogens

Media

Enquiries

Contact Dr Maggy Lord directly for media enquiries about:

  • infrared spectroscopy
  • malaria
  • Mosquitoes
  • non-invasive diagnostic tools
  • surveillance

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au