Evidence map›Paper›PMID 36051429›Full record

ArticleWorld journal of diabetes2022

Epidemiology for public health practice: The application of spatial epidemiology.

Longjian Liu, Garvita Nagar, Ousmane Diarra, Stephanie Shosanya, Geeta Sharma, David Afesumeh, Akshatha Krishna

Abstract read
In one paragraph

Article in World journal of diabetes, 2022. 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. Review
  2. Article
  3. Review
  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

7 authors.

Longjian LiuEpidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA 19104, United States. ll85@drexel.edu.
Garvita NagarEpidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA 19104, United States.
Ousmane DiarraEpidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA 19104, United States.
Stephanie ShosanyaEpidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA 19104, United States.
Geeta SharmaEpidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA 19104, United States.
David AfesumehEpidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA 19104, United States.
Akshatha KrishnaEpidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA 19104, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial epidemiology is the description and analysis of geographic patterns and variations in disease risk factors, morbidity and mortality with respect to their distributions associated with demographic, socioeconomic, environmental, health behavior, and genetic risk factors, and time-varying changes. In the Letter to Editor, we had a brief description of the practice for the mortality and the space-time patterns of John Snow's map of cholera epidemic in London, United Kingdom in 1854. This map is one of the earliest public heath practices of developing and applying spatial epidemiology. In the early history, spatial epidemiology was predominantly applied in infectious disease and risk factor studies. However, since the recent decades, noncommunicable diseases have become the leading cause of death in both developing and developed countries, spatial epidemiology has been used in the study of noncommunicable disease. In the Letter, we addressed two examples that applied spatial epidemiology to cluster and identify stroke belt and diabetes belt across the states and counties in the United States. Similar to any other epidemiological study design and analysis approaches, spatial epidemiology has its limitations. We should keep in mind when applying spatial epidemiology in research and in public health practice.

Indexed as

Diabetes beltDiabetes mellitusPublic health practiceSpatial epidemiology

Identifiers

PMID36051429
PMCPMC9329838

What OpenQuestion holds

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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.