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Aline Uwimana et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2023
Hydroxyurea for Children with Sickle Cell Disease in sub-Saharan Africa: A Summary of the Evidence, Opportunities, and Challenges.
Daniel Dexter et al. Pharmacotherapy 2023
WebGIS-Based Real-Time Surveillance and Response System for Vector-Borne Infectious Diseases.
Momna Javaid et al. International journal of environmental research and public health 2023 20(4)
Artificial intelligence-based tools applied to pathological diagnosis of microbiological diseases.
Stefano Marletta et al. Pathology, research and practice 2023 243154362
Patient-level performance evaluation of a smartphone-based malaria diagnostic application.
Hang Yu et al. Malaria journal 2023 22(1) 33
A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria.
Trimarsanto Hidayat et al. Communications biology 2022 5(1) 1411
The science events to watch for in 2023 Moon landings, mRNA vaccines and climate finance are among the developments set to shape research in the coming year.
M Naddaf et al, Nature, December 19, 2022
Towards digital diagnosis of malaria: How far have we reached?
Aqeel Sana et al. Journal of microbiological methods 2022 204106630
Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings.
Beck Hans-Peter et al. Frontiers in artificial intelligence 2022 5510483
Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review.
Maturana Carles Rubio et al. Frontiers in microbiology 2022 131006659
Contribution of malaria and sickle cell disease to anaemia among children aged 6-59 months in Nigeria: a cross-sectional study using data from the 2018 Demographic and Health Survey.
Chao Dennis L et al. BMJ open 2022 12(11) e063369
Evaluating the Performance of Deep Learning Frameworks for Malaria Parasite Detection Using Microscopic Images of Peripheral Blood Smears.
Uzun Ozsahin Dilber et al. Diagnostics (Basel, Switzerland) 2022 12(11)
Predicting infectious disease for biopreparedness and response: A systematic review of machine learning and deep learning approaches.
Keshavamurthy Ravikiran et al. One health (Amsterdam, Netherlands) 2022 15100439
Monoclonal antibodies for malaria prevention.
Aleshnick Maya et al. Molecular therapy : the journal of the American Society of Gene Therapy 2022 4 (5) 1810-1821
Deep Learning and Transfer Learning for Malaria Detection.
Jameela Tayyaba et al. Computational intelligence and neuroscience 2022 20222221728
Distribution of HbS Allele and Haplotypes in a Multi-Ethnic Population of Guinea Bissau, West Africa: Implications for Public Health Screening.
Martella Maddalena et al. Frontiers in pediatrics 2022 10826262
DNA testing for sickle cell anemia in Africa: Implementation choices for the Democratic Republic of Congo.
Ngole Mamy et al. Journal of clinical laboratory analysis 2022 e24398
Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning.
Das Debashish et al. Malaria journal 2022 21(1) 122
Predicting the impact of climate change on the re-emergence of malaria cases in China using LSTMSeq2Seq deep learning model: a modelling and prediction analysis study.
Kamana Eric et al. BMJ open 2022 12(3) e053922
An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis.
Loddo Andrea et al. Journal of imaging 2022 8(3)
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.