article · Stochastic Environmental Research and Risk Assessment

Bayesian semi-parametric spatial modeling of dispersed count data with INLA: applications in public health and climate risk

2026University of Pretoria

In plain language

No abstract is available for this record, so no summary has been generated.

Research topics

Statistical Methods and Bayesian Inference
Data-Driven Disease Surveillance
Spatial and Panel Data Analysis

Sustainable Development Goals

13Climate Action

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

View on publisher site Record on OpenAlex

DOI: 10.1007/s00477-025-03165-z

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.

New to MARATTO™? Create a free account.