AIMC Topic: Malaria

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Unraveling global malaria incidence and mortality using machine learning and artificial intelligence-driven spatial analysis.

Scientific reports Aug 4, 2025
Malaria remains a significant global health concern, contributing to substantial morbidity and mortality worldwide. To inform efforts aimed at alleviating the global malaria burden, this study utilized spatial analysis, advanced machine learning (ML)...
Humans Incidence Malaria Spatial Analysis Artificial Intelligence Machine Learning Global Health
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Automated multi-model framework for malaria detection using deep learning and feature fusion.

Scientific reports Jul 16, 2025
Malaria remains a critical global health challenge, particularly in tropical and subtropical regions. While traditional methods for diagnosis are effective, they face some limitations related to accuracy, time consumption, and manual effort. This stu...
Support Vector Machine Malaria Algorithms Deep Learning Humans
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Understanding the determinants of treated bed net use in Ethiopia: A machine learning classification approach using PMA Ethiopia 2023 survey data.

PloS one Jul 7, 2025
INTRODUCTION: Malaria remains a significant public health challenge in Ethiopia, with over 7.3 million cases and 1,157 deaths reported between January 1 and October 20, 2024. Despite extensive distribution campaigns, 35% of insecticide-treated nets (...
Female Adult Male Humans Machine Learning Family Characteristics Malaria Mosquito Control Insecticide-Treated Bednets Logistic Models Middle Aged Socioeconomic Factors Surveys and Questionnaires Ethiopia
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Technologies for the point-of-care diagnosis of malaria: a scoping review.

Infectious diseases of poverty Jun 23, 2025
BACKGROUND: Malaria continues to pose a significant health challenge, particularly in low-resource settings (LRS), where access to reliable and timely diagnostics is often limited. In this context, point-of-care (POC) in vitro diagnostics (IVDs) play...
Sensitivity and Specificity Point-of-Care Systems Point-of-Care Testing Humans Malaria
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Application of ConvNeXt with transfer learning and data augmentation for malaria parasite detection in resource-limited settings using microscopic images.

PloS one Jun 4, 2025
Malaria continues to be a severe health problem across the globe, especially within resource-limited areas which lack both skilled diagnostic personnel and diagnostic equipment. This study investigates the use of deep learning diagnosis for malaria t...
Humans Microscopy Deep Learning Plasmodium falciparum Image Processing, Computer-Assisted Resource-Limited Settings Malaria
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Spatiotemporal patterns and climate-induced macroeconomic burden of malaria in sub-Saharan Africa.

BMC public health May 29, 2025
BACKGROUND: The global malaria burden is characterized by economic, geographical, and climatic disparities, especially in sub-Saharan Africa (SSA). Moreover, meteorological factors have become increasingly important to understand the malaria burden i...
Cost of Illness Bayes Theorem Malaria Weather Africa South of the Sahara Climate Change Geographic Information Systems Spatio-Temporal Analysis Incidence Humans Machine Learning
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Computer Viewing Model for Classification of Erythrocytes Infected with spp. Applied to Malaria Diagnosis Using Optical Microscope.

Medicina (Kaunas, Lithuania) May 21, 2025
Malaria is a disease that can result in a variety of complications. Diagnosis is carried out by an optical microscope and depends on operator experience. The use of artificial intelligence to identify morphological patterns in erythrocytes would imp...
Machine Learning Algorithms Humans Malaria Microscopy Neural Networks, Computer Erythrocytes Plasmodium
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Forecasting malaria cases using climate variability in Sierra Leone.

Malaria journal May 20, 2025
BACKGROUND: Malaria continues to pose a public health challenge in Sierra Leone, where timely and accurate forecasting can guide more effective interventions. Although seasonal models such as Seasonal Autoregressive Integrated Moving Average (SARIMA)...
Neural Networks, Computer Forecasting Incidence Models, Statistical Sierra Leone Malaria Seasons Humans Climate
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Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models.

BMC medical informatics and decision making Apr 11, 2025
BACKGROUND: Malaria, an infectious disease caused by protozoan parasites belonging to the Plasmodium genus, remains a significant public health challenge, with African regions bearing the heaviest burden. Machine learning techniques have shown great ...
Middle Aged Adolescent Nigeria Humans Adult Child, Preschool Machine Learning Female Child Aged Male Malaria Young Adult
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Deep learning method for malaria parasite evaluation from microscopic blood smear.

Artificial intelligence in medicine Mar 15, 2025
OBJECTIVE: Malaria remains a leading cause of global morbidity and mortality, responsible for approximately 5,97,000 deaths according to World Malaria Report 2024. The study aims to systematically review current methodologies for automated analysis o...
Malaria Humans Microscopy Plasmodium Deep Learning
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