SynthesisRevista do Instituto de Medicina Tropical de Sao Paulo2020
Geoprocessing and spatial analysis for identifying leptospirosis risk areas: a systematic review.
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.
What it found
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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.
The trial behind it
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Toward One Health: a spatial indicator system to model the facilitation of the spread of zoonotic diseases.Frontiers in public health · 2023Pooled it
- Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review.BMC infectious diseases · 2022Pooled it
- Leptospirosis in Southeast Asia: Investigating Seroprevalence, Transmission Patterns, and Diagnostic Challenges.Tropical medicine and infectious disease · 2026Review
- Analysis of the Spatial Distribution of New Cases of Leprosy in the State of Pernambuco, Northeast Brazil.Tropical medicine and infectious disease · 2025Article
- Changing epidemiology of leptospirosis in China from 1955 to 2022.Infectious diseases of poverty · 2025Article
- Co-occurrence of malaria and Chagas disease in the Brazilian Amazon: the need for integrated health surveillance.Cadernos de saude publica · 2025Article
- Risk of human leptospirosis in Colombia: spatiotemporal analysis and related hydroclimatic factors.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2024Article
- Spatial, temporal, and space-time analysis of leptospirosis cases in Acre, 2001-2022.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024Article
- Spatio-temporal modeling of human leptospirosis prevalence using the maximum entropy model.BMC public health · 2023Article
- Spatial Distribution of Gestational Syphilis in Brazil: Socioeconomic and Health Services Inequalities.The American journal of tropical medicine and hygiene · 2023Article
- Spatio-Temporal Analysis of Leptospirosis Hotspot Areas and Its Association With Hydroclimatic Factors in Selangor, Malaysia: Protocol for an Ecological Cross-sectional Study.JMIR research protocols · 2023Article
- The Use of Spatial Analysis in Syphilis-Related Research: Protocol for a Scoping Review.JMIR research protocols · 2023Article
- Spatial and temporal dynamics of leptospirosis in South Brazil: A forecasting and nonlinear regression analysis.PLoS neglected tropical diseases · 2023Article
- Spatial scenery of congenital syphilis in Brazil between 2007 and 2018: an ecological study.BMJ open · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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