Malaria amongst children under five in sub-Saharan Africa: a sco** review of prevalence, risk factors and preventive interventions

JO Sarfo, M Amoadu, PY Kordorwu, AK Adams… - European Journal of …, 2023 - Springer
Introduction Africa has a higher burden of malaria-related cases and deaths globally.
Children under five accounted for over two-thirds of all malaria deaths in sub-Saharan Africa …

Towards digital diagnosis of malaria: How far have we reached?

S Aqeel, Z Haider, W Khan - Journal of Microbiological Methods, 2023 - Elsevier
The need for precise and early diagnosis of malaria and its distinction from other febrile
illnesses is no doubt a prerequisite, primarily when standard rapid diagnostic tests (RDTs) …

Influencing factors and multi-scenario prediction of China's ecological footprint based on the STIRPAT model

H Ma, Y Liu, Z Li, Q Wang - Ecological Informatics, 2022 - Elsevier
Focusing on the spatial and temporal pattern, evolution law, influencing factors and
prediction of regional ecological footprint (EF) is conducive to promoting sustainable …

EV charging load forecasting model mining algorithm based on hybrid intelligence

S Deng, J Wang, L Tao, S Zhang, H Sun - Computers and Electrical …, 2023 - Elsevier
Precise EV charging load forecasting plays a critical role in optimizing resource allocation
and facilitating economic operation and energy management of EV charging stations, as …

[HTML][HTML] Evaluation of a natural language processing approach to identify diagnostic errors and analysis of safety learning system case review data: retrospective …

A Tabaie, A Tran, T Calabria, SS Bennett… - Journal of Medical …, 2024 - jmir.org
Background Diagnostic errors are an underappreciated cause of preventable mortality in
hospitals and pose a risk for severe patient harm and increase hospital length of stay …

[HTML][HTML] Map** heat vulnerability in Australian capital cities: A machine learning and multi-source data analysis

F Li, T Yigitcanlar, M Nepal, K Nguyen, F Dur… - Sustainable Cities and …, 2025 - Elsevier
Heat vulnerability has emerged as a global concern amidst ongoing urbanisation and
climate change. While numerous studies have examined heat vulnerability, a gap remains in …

[HTML][HTML] Geographically weighted logistic regression model for identifying risk factors for malaria infection among under-5 children in Ghana

EK Appiah, EN Aidoo, RK Avuglah, SK Appiah - Scientific African, 2024 - Elsevier
Malaria remains a significant public health challenge globally, particularly affecting children
under-5 years of age due to their underdeveloped immune systems. Identifying the risk …

Classifying the risk for myasthenic crisis using data-driven explainable machine learning with informative feature design and variance control-a pilot study

S Bershan, A Meisel, P Mergenthaler - medRxiv, 2023 - medrxiv.org
Key Points Question: Can machine learning models be used to classify Myasthenia gravis
patients into groups at high or low risk for myasthenic crisis with high precision based on …

Interaction of black carbon surface mass with meteorological variables and spatial pattern across the 36 states of tropical Nigeria

AT Etchie - Remote Sensing Applications: Society and …, 2024 - Elsevier
Black carbon (BC) has been linked to cardio-pulmonary diseases and lung cancer. It is also
the second largest contributor to climate change, after carbon dioxide (CO 2), Effective …

The clinical risk factors of adenovirus pneumonia in children based on the logistic regression model: correlation with lactate dehydrogenase

Y Liu, Y Shen, B Wei - International Journal of Clinical Practice, 2022 - Wiley Online Library
Background and Objective. Adenovirus pneumonia is a severe disease in children.
Constructing a prognostic model contributes to individualized treatment of children with …