2025

Mukabana, L. N. et al. (2025) Heterogeneous malaria transmission patterns in southeastern Tanzania driven by socio-economic and environmental factors. Malaria Journal, 24, 172. (doi: 10.1186/s12936-025-05418-2) (PMID:40442793) (PMCID:PMC12123885)

2024

Mshani, I. H. et al. (2024) Screening of malaria infections in human blood samples with varying parasite densities and anaemic conditions using AI-Powered mid-infrared spectroscopy. Malaria Journal, 23(1), 188. (doi: 10.1186/s12936-024-05011-z) (PMID:38880870) (PMCID:PMC11181574)

Mwanga, E. P. et al. (2024) Reagent-free detection of Plasmodium falciparum malaria infections in field-collected mosquitoes using mid-infrared spectroscopy and machine learning. Scientific Reports, 14, 12100. (doi: 10.1038/s41598-024-63082-z) (PMID:38802488) (PMCID:PMC11130311)

Mwanga, Emmanuel P., Siria, Doreen Josen, Mshani, Issa H., Mwinyi, Sophia H., Abbas, Said, Gonzalez Jimenez, Mario ORCID: https://orcid.org/0000-0002-8853-0588, Wynne, Klaas ORCID: https://orcid.org/0000-0002-5305-5940, Baldini, Francesco ORCID: https://orcid.org/0000-0002-5904-4070, Babayan, Simon A. ORCID: https://orcid.org/0000-0002-4949-1117 and Okumu, Fredros O. ORCID: https://orcid.org/0000-0003-2731-5654 (2024) Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus. Parasites and Vectors, 17, 143. (doi: 10.1186/s13071-024-06209-5) (PMID:38500231)

Mwanga, E. P. et al. (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) (PMID:38532415) (PMCID:PMC10964711)

2023

Mshani, I. H. et al. (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) (PMID:37950315) (PMCID:PMC10638832)

Mwanga, Emmanuel P., Siria, Doreen J., Mitton, Joshua, Mshani, Issa H., González-Jiménez, Mario ORCID: https://orcid.org/0000-0002-8853-0588, Selvarajah, Prashanth, Wynne, Klaas ORCID: https://orcid.org/0000-0002-5305-5940, Baldini, Francesco ORCID: https://orcid.org/0000-0002-5904-4070, Okumu, Fredros O. ORCID: https://orcid.org/0000-0003-2731-5654 and Babayan, Simon A. ORCID: https://orcid.org/0000-0002-4949-1117 (2023) Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra. BMC Bioinformatics, 24, 11. (doi: 10.1186/s12859-022-05128-5) (PMID:36624386) (PMCID:PMC9830685)

2022

Pinda, P. G. et al. (2022) Relationships between biological age, distance from aquatic habitats and pyrethroid resistance status of Anopheles funestus mosquitoes in south-eastern Tanzania. Malaria Journal, 21, 365. (doi: 10.1186/s12936-022-04389-y) (PMID:36461058) (PMCID:PMC9719249)

Ngowo, Halfan S. ORCID: https://orcid.org/0000-0003-2789-0261, Okumu, Fredros O. ORCID: https://orcid.org/0000-0003-2731-5654, Hape, Emmanuel E., Mshani, Issa H., Ferguson, Heather M. ORCID: https://orcid.org/0000-0002-9625-5176 and Matthiopoulos, Jason ORCID: https://orcid.org/0000-0003-3639-8172 (2022) Using Bayesian state-space models to understand the population dynamics of the dominant malaria vector, Anopheles funestus in rural Tanzania. Malaria Journal, 21(1), 161. (doi: 10.1186/s12936-022-04189-4) (PMID:35658961) (PMCID:PMC9166306)

2021

Nambunga, I. H. et al. (2021) Wild populations of malaria vectors can mate both inside and outside of human buildings. Parasites and Vectors, 14, 514. (doi: 10.1186/s13071-021-04989-8) (PMID:34620227) (PMCID:PMC8499572)

Articles

Mukabana, L. N. et al. (2025) Heterogeneous malaria transmission patterns in southeastern Tanzania driven by socio-economic and environmental factors. Malaria Journal, 24, 172. (doi: 10.1186/s12936-025-05418-2) (PMID:40442793) (PMCID:PMC12123885)

Mshani, I. H. et al. (2024) Screening of malaria infections in human blood samples with varying parasite densities and anaemic conditions using AI-Powered mid-infrared spectroscopy. Malaria Journal, 23(1), 188. (doi: 10.1186/s12936-024-05011-z) (PMID:38880870) (PMCID:PMC11181574)

Mwanga, E. P. et al. (2024) Reagent-free detection of Plasmodium falciparum malaria infections in field-collected mosquitoes using mid-infrared spectroscopy and machine learning. Scientific Reports, 14, 12100. (doi: 10.1038/s41598-024-63082-z) (PMID:38802488) (PMCID:PMC11130311)

Mwanga, Emmanuel P., Siria, Doreen Josen, Mshani, Issa H., Mwinyi, Sophia H., Abbas, Said, Gonzalez Jimenez, Mario ORCID: https://orcid.org/0000-0002-8853-0588, Wynne, Klaas ORCID: https://orcid.org/0000-0002-5305-5940, Baldini, Francesco ORCID: https://orcid.org/0000-0002-5904-4070, Babayan, Simon A. ORCID: https://orcid.org/0000-0002-4949-1117 and Okumu, Fredros O. ORCID: https://orcid.org/0000-0003-2731-5654 (2024) Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus. Parasites and Vectors, 17, 143. (doi: 10.1186/s13071-024-06209-5) (PMID:38500231)

Mwanga, E. P. et al. (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) (PMID:38532415) (PMCID:PMC10964711)

Mshani, I. H. et al. (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) (PMID:37950315) (PMCID:PMC10638832)

Mwanga, Emmanuel P., Siria, Doreen J., Mitton, Joshua, Mshani, Issa H., González-Jiménez, Mario ORCID: https://orcid.org/0000-0002-8853-0588, Selvarajah, Prashanth, Wynne, Klaas ORCID: https://orcid.org/0000-0002-5305-5940, Baldini, Francesco ORCID: https://orcid.org/0000-0002-5904-4070, Okumu, Fredros O. ORCID: https://orcid.org/0000-0003-2731-5654 and Babayan, Simon A. ORCID: https://orcid.org/0000-0002-4949-1117 (2023) Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra. BMC Bioinformatics, 24, 11. (doi: 10.1186/s12859-022-05128-5) (PMID:36624386) (PMCID:PMC9830685)

Pinda, P. G. et al. (2022) Relationships between biological age, distance from aquatic habitats and pyrethroid resistance status of Anopheles funestus mosquitoes in south-eastern Tanzania. Malaria Journal, 21, 365. (doi: 10.1186/s12936-022-04389-y) (PMID:36461058) (PMCID:PMC9719249)

Ngowo, Halfan S. ORCID: https://orcid.org/0000-0003-2789-0261, Okumu, Fredros O. ORCID: https://orcid.org/0000-0003-2731-5654, Hape, Emmanuel E., Mshani, Issa H., Ferguson, Heather M. ORCID: https://orcid.org/0000-0002-9625-5176 and Matthiopoulos, Jason ORCID: https://orcid.org/0000-0003-3639-8172 (2022) Using Bayesian state-space models to understand the population dynamics of the dominant malaria vector, Anopheles funestus in rural Tanzania. Malaria Journal, 21(1), 161. (doi: 10.1186/s12936-022-04189-4) (PMID:35658961) (PMCID:PMC9166306)

Nambunga, I. H. et al. (2021) Wild populations of malaria vectors can mate both inside and outside of human buildings. Parasites and Vectors, 14, 514. (doi: 10.1186/s13071-021-04989-8) (PMID:34620227) (PMCID:PMC8499572)