Evidence map›Paper›PMID 39043451›Full record

ArticleEmerging infectious diseases2024

Spatiotemporal Modeling of Cholera, Uvira, Democratic Republic of the Congo, 2016-2020.

Ruwan Ratnayake, Jackie Knee, Oliver Cumming, Jaime Mufitini Saidi, Baron Bashige Rumedeka, Flavio Finger, Andrew S Azman, W John Edmunds, Francesco Checchi, Karin Gallandat

Abstract readHistorical Article
In one paragraph

Article in Emerging infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

10 authors.

Ruwan Ratnayake
Jackie Knee
Oliver Cumming
Jaime Mufitini Saidi
Baron Bashige Rumedeka
Flavio Finger
Andrew S Azman
W John Edmunds
Francesco Checchi
Karin Gallandat

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the spatiotemporal clustering of rapid diagnostic test-positive cholera cases in Uvira, eastern Democratic Republic of the Congo. We detected spatiotemporal clusters that consistently overlapped with major rivers, and we outlined the extent of zones of increased risk that are compatible with the radii currently used for targeted interventions.

Indexed as

CholeraSpatio-Temporal AnalysisCluster AnalysisDemocratic Republic of the CongoHistory, 21st CenturyHumansbacteriacholeraDemocratic Republic of the Congodisease clustersoutbreaksprevention AND controlspatiotemporal modelingtransmission dynamicsVibrio cholerae

Identifiers

PMID39043451
PMCPMC11286051

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.