Evidence map›Paper›PMID 32520210›Full record

SynthesisRevista do Instituto de Medicina Tropical de Sao Paulo2020

Geoprocessing and spatial analysis for identifying leptospirosis risk areas: a systematic review.

Isabela Pereira de Oliveira Souza, Marlene Salete Uberti, Wagner de Souza Tassinari

Abstract readSystematic Review
In one paragraph

Synthesis in Revista do Instituto de Medicina Tropical de Sao Paulo, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Risk of human leptospirosis in Colombia: spatiotemporal analysis and related hydroclimatic factors.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2024
    Article
  8. Spatial, temporal, and space-time analysis of leptospirosis cases in Acre, 2001-2022.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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.

Isabela Pereira de Oliveira SouzaUniversidade Federal Rural do Rio de Janeiro, Instituto de Medicina Veterinária, Departamento de Parasitologia Animal, Seropédica, Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0001-7746-0206
Marlene Salete UbertiUniversidade Federal Rural do Rio de Janeiro, Instituto de Tecnologia, Departamento de Engenharia, Seropédica, Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0002-5643-0304
Wagner de Souza TassinariUniversidade Federal Rural do Rio de Janeiro, Instituto de Medicina Veterinária, Departamento de Parasitologia Animal, Seropédica, Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0002-3799-1261

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leptospirosis is a reemerging zoonosis caused by bacteria of the genus Leptospira sp. with global importance in the medical and veterinary fields, being responsible for about 59 thousand deaths each year in the world. The use of Geographic Information Systems (GIS) in the health sector is propitious and has been adopted by human and animal health professionals as an important tool in spatial analyses of health. The objective of this study was to conduct a systematic review on the geoprocessing and spatial analysis techniques adopted for mapping risk areas of human and animal leptospirosis. The articles were collected on scientific platforms by entering the following terms: SIG/GIS, leptospirose/leptospirosis, area de risco/risk area and distribuicao espacial/spatial distribution, and included in the study if they met the following criteria: a) publication in the period from 1998 to 2017; b) identification of risk areas and/or spatial distribution of leptospirosis as one of the research topics; and c) application of GIS in the methodology. As a result, we found 40 articles, published by 15 different countries, which adopted GIS for the spatial analysis and identification of risk areas of leptospirosis. Among these, only 45% (18) conducted an spatial statistical analysis. Brazil and USA had the highest numbers of publications, 16 and 7 articles, respectively. From 2007, the use of GIS and spatial analysis techniques, applied to the theme of this study, have been intensified and diversified, and 93% of the articles elected for this review were published from 2007 to 2017. The results point to a progressive interest of health professionals in applying these techniques for monitoring and conducting epidemiological analyses of leptospirosis, besides indicating a greater need for intersectoral integration between health professionals and others, in the use of spatial analysis and GIS techniques.

Indexed as

Geographic Information SystemsHumansLeptospirosisRisk AssessmentSpatial Analysis

Identifiers

PMID32520210
PMCPMC7274766

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.