Evidence map›Paper›PMID 39959340›Full record

ArticleMathematics (Basel, Switzerland)2025

Estimating the Relative Risks of Spatial Clusters Using a Predictor-Corrector Method.

Majid Bani-Yaghoub, Kamel Rekab, Julia Pluta, Said Tabharit

Abstract read
In one paragraph

Article in Mathematics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Majid Bani-YaghoubDivision of Computing, Analytics and Mathematics, School of Science and Engineering, University of Missouri-Kansas City, Kansas City, MO 64110, USA.
Kamel RekabDivision of Computing, Analytics and Mathematics, School of Science and Engineering, University of Missouri-Kansas City, Kansas City, MO 64110, USA.
Julia PlutaDivision of Computing, Analytics and Mathematics, School of Science and Engineering, University of Missouri-Kansas City, Kansas City, MO 64110, USA.
Said TabharitDivision of Computing, Analytics and Mathematics, School of Science and Engineering, University of Missouri-Kansas City, Kansas City, MO 64110, USA.

Funding

ACL HHS U01CK000671NCEZID CDC HHS U01 CK000671
6 · The paper itself

Abstract

Spatial, temporal, and space-time scan statistics can be used for geographical surveillance, identifying temporal and spatial patterns, and detecting outliers. While statistical cluster analysis is a valuable tool for identifying patterns, optimizing resource allocation, and supporting decision-making, accurately predicting future spatial clusters remains a significant challenge. Given the known relative risks of spatial clusters over the past

Indexed as

Cluster AnalysisCOVID-19Exponential SmoothingMortalityRegressionRelative Risk

Identifiers

PMID39959340
PMCPMC11827645

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.