User profiles for Doreen J. Siria

Doreen Siria

Research Scientist (Junior Medical Entomologist) at Ifakara Health Institute
Verified email at ihi.or.tz
Cited by 329

[HTML][HTML] Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning

…, L Ranford-Cartwright, A Niang, DJ Siria… - Wellcome open …, 2019 - ncbi.nlm.nih.gov
Despite the global efforts made in the fight against malaria, the disease is resurging. One of
the main causes is the resistance that Anopheles mosquitoes, vectors of the disease, have …

[HTML][HTML] Detection of malaria parasites in dried human blood spots using mid-infrared spectroscopy and logistic regression analysis

…, MG Jiménez, JK Swai, S Abbasi, HS Ngowo, DJ Siria… - Malaria journal, 2019 - Springer
Background Epidemiological surveys of malaria currently rely on microscopy, polymerase
chain reaction assays (PCR) or rapid diagnostic test kits for Plasmodium infections (RDTs). …

[HTML][HTML] Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis

…, DJ Siria, HS Ngowo, F Nangacha, J Mgando… - Malaria Journal, 2019 - Springer
Background The propensity of different Anopheles mosquitoes to bite humans instead of
other vertebrates influences their capacity to transmit pathogens to humans. Unfortunately, …

[HTML][HTML] 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… - Parasites & vectors, 2018 - Springer
Background Controlled blood-feeding is essential for maintaining laboratory colonies of
disease-transmitting mosquitoes and investigating pathogen transmission. We evaluated a low-…

[HTML][HTML] Rapid age-grading and species identification of natural mosquitoes for malaria surveillance

DJ Siria, R Sanou, J Mitton, EP Mwanga… - Nature …, 2022 - nature.com
The malaria parasite, which is transmitted by several Anopheles mosquito species, requires
more time to reach its human-transmissible stage than the average lifespan of mosquito …

[HTML][HTML] Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid …

EP Mwanga, DJ Siria, J Mitton, IH Mshani… - BMC …, 2023 - Springer
Background Old mosquitoes are more likely to transmit malaria than young ones. Therefore,
accurate prediction of mosquito population age can drastically improve the evaluation of …

[HTML][HTML] Field evaluation of the BG-Malaria trap for monitoring malaria vectors in rural Tanzanian villages

…, H Ngowo, M Opiyo, GK Shubis, FC Meza, DJ Siria… - PloS one, 2018 - journals.plos.org
BG-Malaria (BGM) trap is a simple adaptation of the widely-used BG-Sentinel trap (BGS). It is
proven to be highly effective for trapping the Brazilian malaria vector, Anopheles darlingi, in …

[HTML][HTML] 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… - Malaria Journal, 2024 - Springer
Background The degree to which Anopheles mosquitoes prefer biting humans over other
vertebrate hosts, ie the human blood index (HBI), is a crucial parameter for assessing malaria …

[HTML][HTML] Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus

EP Mwanga, DJ Siria, IH Mshani, SH Mwinyi… - Parasites & …, 2024 - Springer
Background Accurately determining the age and survival probabilities of adult mosquitoes
is crucial for understanding parasite transmission, evaluating the effectiveness of control …

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

IH Mshani, DJ Siria, EP Mwanga, BBD Sow, R Sanou… - Malaria Journal, 2023 - Springer
Studies on the applications of infrared (IR) spectroscopy and machine learning (ML) in
public health have increased greatly in recent years. These technologies show enormous …