Causal Inference in Spatial Mapping. Issue 10 (October 2019)

• Record Type: Journal Article
• Authors: Kraemer, Moritz U.G.; Reiner, Robert C.; Bhatt, Samir
• Is Part Of: Trends in parasitology. Volume 35:Issue 10(2019)
• Page Start: 743
• Page End: 746
• Publication Date: 2019-10
• Subjects: disease mapping -- causality -- inference -- prediction -- public health interventions; Parasitology -- Periodicals; Parasitology -- Periodicals; Biology -- Periodicals; Parasitology; Biology; Parasitologie -- Périodiques; Online resources; 571.999
• DOI: 10.1016/j.pt.2019.06.005
• Languages: English
• ISSNs: 1471-4922

Abstract

Abstract : Disease mapping has evolved to a powerful field in epidemiology and public health to focus interventions. Increased precision has come at the expense of interpretability. We propose that future efforts should focus on causal inference to evaluate and predict the effectiveness of intervention strategies to guide decisions more effectively.