| Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning MG Jiménez, SA Babayan, P Khazaeli, M Doyle, F Walton, E Reedy, ... Wellcome open research 4, 2019 | 74 | 2019 |
| Detection of malaria parasites in dried human blood spots using mid-infrared spectroscopy and logistic regression analysis EP Mwanga, EG Minja, E Mrimi, MG Jiménez, JK Swai, S Abbasi, ... Malaria journal 18, 1-13, 2019 | 60 | 2019 |
| Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis EP Mwanga, SA Mapua, DJ Siria, HS Ngowo, F Nangacha, J Mgando, ... Malaria Journal 18, 1-9, 2019 | 50 | 2019 |
| Crowdsourcing vector surveillance: using community knowledge and experiences to predict densities and distribution of outdoor-biting mosquitoes in rural Tanzania SP Mwangungulu, RD Sumaye, AJ Limwagu, DJ Siria, EW Kaindoa, ... Plos one 11 (6), e0156388, 2016 | 50 | 2016 |
| Rapid age-grading and species identification of natural mosquitoes for malaria surveillance DJ Siria, R Sanou, J Mitton, EP Mwanga, A Niang, I Sare, PCD Johnson, ... Nature Communications 13 (1), 1501, 2022 | 42 | 2022 |
| Evaluation of a simple polytetrafluoroethylene (PTFE)-based membrane for blood-feeding of malaria and dengue fever vectors in the laboratory DJ Siria, EPA Batista, MA Opiyo, EF Melo, RD Sumaye, HS Ngowo, ... Parasites & vectors 11, 1-10, 2018 | 38 | 2018 |
| Field evaluation of the BG-Malaria trap for monitoring malaria vectors in rural Tanzanian villages EPA Batista, H Ngowo, M Opiyo, GK Shubis, FC Meza, DJ Siria, AE Eiras, ... PloS one 13 (10), e0205358, 2018 | 25 | 2018 |
| Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra EP Mwanga, DJ Siria, J Mitton, IH Mshani, M González-Jiménez, ... BMC bioinformatics 24 (1), 11, 2023 | 12 | 2023 |
| The effect of light and ventilation on house entry by Anopheles arabiensis sampled using light traps in Tanzania: an experimental hut study AS Mmbando, J Bradley, D Kazimbaya, R Kasubiri, J Knudsen, D Siria, ... Malaria Journal 21 (1), 36, 2022 | 9 | 2022 |
| Prediction of malaria mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning M González-Jiménez, SA Babayan, P Khazaeli, M Doyle, F Walton, ... bioRxiv, 414342, 2018 | 6 | 2018 |
| Key considerations, target product profiles, and research gaps in the application of infrared spectroscopy and artificial intelligence for malaria surveillance and diagnosis IH Mshani, DJ Siria, EP Mwanga, BBD Sow, R Sanou, M Opiyo, ... Malaria Journal 22 (1), 346, 2023 | 5 | 2023 |
| Rapid assessment of the blood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spectroscopy and machine learning EP Mwanga, IS Mchola, FE Makala, IH Mshani, DJ Siria, SH Mwinyi, ... Malaria Journal 23 (1), 86, 2024 | 3 | 2024 |
| Rapid ageing and species identification of natural mosquitoes for malaria surveillance DJ Siria, R Sanou, J Mitton, EP Mwanga, A Niang, I Sare, PCD Johnson, ... bioRxiv, 2020.06. 11.144253, 2020 | 3 | 2020 |
| Effects of sample preservation methods and duration of storage on the performance of mid-infrared spectroscopy for predicting the age of malaria vectors JN Mgaya, DJ Siria, FE Makala, JP Mgando, JM Vianney, EP Mwanga, ... Parasites & Vectors 15 (1), 281, 2022 | 1 | 2022 |
| Screening of malaria infections in human blood samples with varying parasite densities and anaemic conditions using AI-Powered mid-infrared spectroscopy IH Mshani, FM Jackson, RY Mwanga, PA Kweyamba, EP Mwanga, ... Malaria Journal 23 (1), 188, 2024 | | 2024 |
| Reagent-free detection of Plasmodium falciparum malaria infections in field-collected mosquitoes using mid-infrared spectroscopy and machine learning EP Mwanga, PA Kweyamba, DJ Siria, IH Mshani, IS Mchola, FE Makala, ... Scientific Reports 14 (1), 12100, 2024 | | 2024 |
| Using AI-Powered Mid-Infrared Spectroscopy for Malaria Screening Under Varying Parasite Densities and Anaemic Conditions I Mshani, F Jackson, R Mwanga, P Kweyamba, E Mwanga, M Tambwe, ... | | 2024 |
| Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus EP Mwanga, DJ Siria, IH Mshani, SH Mwinyi, S Abbasi, MG Jimenez, ... Parasites & Vectors 17 (1), 143, 2024 | | 2024 |
| Reagent‑free detection of Plasmodium falciparum malaria infections in feld‑collected mosquitoes using mid‑infrared spectroscopy and machine learning FO Okumu, EP Mwanga, PA Kweyamba, DJ Siria, IH Mshani, IS Mchola, ... Nature Research, 2024 | | 2024 |
| USING TRANSFER LEARNING COUPLED WITH DIMENSIONALITY REDUCTION TO IMPROVE GENERALISABILITY OF MACHINE LEARNING PREDICTIONS OF MOSQUITO AGES FROM MID INFRARED SPECTRA EP Mwanga, J Mitton, DJ Siria, F Baldini, FO Okumu, SA Babayan AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE 105 (5), 101-101, 2021 | | 2021 |
