Evidence map›Paper›PMID 33333823›Full record

ArticleInternational journal of environmental research and public health2020

Cholera Risk: A Machine Learning Approach Applied to Essential Climate Variables.

Amy Marie Campbell, Marie-Fanny Racault, Stephen Goult, Angus Laurenson

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 10% of its field
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

12 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Recent epidemiological and management approaches for cholera in India.Proceedings (Baylor University. Medical Center) · 2026
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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 at 2 institutions in 1 country.

Amy Marie CampbellEuropean Space Agency, Climate Office, ECSAT, Harwell OX11 0FD, UK.ORCID 0000-0003-4111-8286
Marie-Fanny RacaultPlymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL1 3DH, UK.ORCID 0000-0002-7584-2515
Stephen GoultPlymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL1 3DH, UK.ORCID 0000-0002-7095-4032
Angus LaurensonPlymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL1 3DH, UK.ORCID 0000-0003-1947-5797
Plymouth Marine Laboratory · GBEuropean Centre for Space Applications and Telecommunications · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oceanic and coastal ecosystems have undergone complex environmental changes in recent years, amid a context of climate change. These changes are also reflected in the dynamics of water-borne diseases as some of the causative agents of these illnesses are ubiquitous in the aquatic environment and their survival rates are impacted by changes in climatic conditions. Previous studies have established strong relationships between essential climate variables and the coastal distribution and seasonal dynamics of the bacteria

Indexed as

CholeraEcosystemHumansIndiaMachine LearningOceans and SeasAIcholeraclimatecoastal environmentessential climate variablesmachine learningrandom forestremote sensing

Identifiers

PMID33333823
PMCPMC7765326
OpenAlexW3111581013

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.