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Evidence record 13463 · automatically gathered

Unsupervised Consensus-Based Anomaly Detection for Spatiotemporal Malaria Incidence in Ghana

A consensus anomaly detection framework was applied to monthly malaria surveillance data from Ghana (2014-2023) to identify atypical transmission patterns. Anomalies were highly structured in space and time. Ashanti and Northern Regions accounted for most recurrent anomalies, with persistent hotspots at Tamale, Kumasi, and Accra. A key finding was the spatial distinction between anomaly burden (cumulative cases during anomalous periods) and anomaly frequency (persistence of unusual behaviour). T

Record details

Published: 23 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Privacy
Retrieved: 25 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Privacy

Humanly: A Configurable and Traceable Environment for Human-AI Collaborative Writing

arXiv red teaming query · 23 July 2026

Shared topic: Privacy

M$^3$-Gen: Interpretable Multimodal Generation of Gene Expression Profiles Using Clinical and Imaging Data

arXiv cs.AI · 23 July 2026

Shared topic: Privacy

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification

arXiv cs.CR (AI security) · 23 July 2026

Shared topic: Privacy

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes

arXiv · 23 July 2026

Shared topic: Privacy

PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption

arXiv cs.CR (AI security) · 24 July 2026

Shared topic: Privacy

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data

arXiv cs.LG · 23 July 2026

How to cite this record

ethics.ai (23 July 2026), “Unsupervised Consensus-Based Anomaly Detection for Spatiotemporal Malaria Incidence in Ghana,” evidence record 13463, https://ethics.ai/record/13463 (originally published by arXiv cs.AI).

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