Evidence map›Paper›PMID 38765293›Full record

ArticleInfectious Disease Modelling2024

Prediction and control of cholera outbreak: Study case of Cameroon.

C Hameni Nkwayep, R Glèlè Kakaï, S Bowong

Abstract read
In one paragraph

Article in Infectious Disease Modelling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors.

C Hameni NkwayepLaboratory of Mathematics, Department of Mathematics and Computer Science, University of Douala, PO Box 24157, Douala, Cameroon.
R Glèlè KakaïBiomathematics and Forest Modeling, University of Abomey-Calavi, Calavi, Benin.
S BowongLaboratory of Mathematics, Department of Mathematics and Computer Science, University of Douala, PO Box 24157, Douala, Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper deals with the problem of the prediction and control of cholera outbreak using real data of Cameroon. We first develop and analyze a deterministic model with seasonality for the cholera, the novelty of which lies in the incorporation of undetected cases. We present the basic properties of the model and compute two explicit threshold parameters

Indexed as

Basic reproduction numberEnsemble Kalman filterImpulsive controlMathematical modelsVibrio cholerae

Identifiers

PMID38765293
PMCPMC11099323

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.