Evidence map›Paper›PMID 27837655›Full record

ArticleThe Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases

Snow's case revisited: new tool in geographic profiling of epidemiology.

Alessio Papini, Ugo Santosuosso

Abstract read
In one paragraph

Article in The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases. 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

2 authors.

Alessio PapiniUniversity of Florence, Department of Biology, Firenze, Italy. Electronic address: alpapini@unifi.it.
Ugo SantosuossoUniversity of Florence, Department of Clinical and Experimental Medicine, Firenze, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geographic Profiling technique is used to find the origin of a series of crimes. The method was recently extended to other fields. One of the best renowned data in epidemiology is that by John Snow during an outburst of cholera in London. We wrote Python scripts to perform the analyses to apply the Geographic Profiling for individuating the starting origin of an infection by using the old Snow's data set. We modified the method by applying a weight to each point of the map where cases of cholera were reported. The weight was proportional to the number of cases in a given location. This modification of the Geographic Profiling method allowed to individuate in the map an area of maximum probability of the infection source, which was a few meters wide and including the historically known source of cholera, that is the "classical" water pump at Broad Street. The method appears to be a useful complement in order to individuate the source of epidemics when available data about the cases of the infections can be summarized on a map.

Indexed as

Geographic Information SystemsGeographic MappingMaps as TopicCholeraHumansItalyProgramming LanguagesReproducibility of ResultsSpatio-Temporal AnalysisTopography, MedicalCholeraGeographic epidemiologyGeographic profilingJohn Snow

Identifiers

PMID27837655
PMCPMC9425470

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.