Geoprocessing and spatial analysis for identifying leptospirosis risk areas: a systematic review
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 p...
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ftdoajarticles:oai:doaj.org/article:730407b041564c08a5027d3132e2f357 2024-09-09T19:28:05+00:00 Geoprocessing and spatial analysis for identifying leptospirosis risk areas: a systematic review Isabela Pereira de Oliveira Souza Marlene Salete Uberti Wagner de Souza Tassinari https://doi.org/10.1590/s1678-9946202062035 https://doaj.org/article/730407b041564c08a5027d3132e2f357 EN eng Universidade de São Paulo (USP) http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0036-46652020000100402&lng=en&tlng=en https://doaj.org/toc/0036-4665 https://doaj.org/toc/1678-9946 0036-4665 1678-9946 doi:10.1590/s1678-9946202062035 https://doaj.org/article/730407b041564c08a5027d3132e2f357 Revista do Instituto de Medicina Tropical de São Paulo, Vol 62 leptospirosis geoprocessing risk areas spatial analysis Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article ftdoajarticles https://doi.org/10.1590/s1678-9946202062035 2024-08-05T17:49:30Z 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. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Revista do Instituto de Medicina Tropical de São Paulo 62 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
leptospirosis geoprocessing risk areas spatial analysis Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
spellingShingle |
leptospirosis geoprocessing risk areas spatial analysis Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Isabela Pereira de Oliveira Souza Marlene Salete Uberti Wagner de Souza Tassinari Geoprocessing and spatial analysis for identifying leptospirosis risk areas: a systematic review |
topic_facet |
leptospirosis geoprocessing risk areas spatial analysis Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Isabela Pereira de Oliveira Souza Marlene Salete Uberti Wagner de Souza Tassinari |
author_facet |
Isabela Pereira de Oliveira Souza Marlene Salete Uberti Wagner de Souza Tassinari |
author_sort |
Isabela Pereira de Oliveira Souza |
title |
Geoprocessing and spatial analysis for identifying leptospirosis risk areas: a systematic review |
title_short |
Geoprocessing and spatial analysis for identifying leptospirosis risk areas: a systematic review |
title_full |
Geoprocessing and spatial analysis for identifying leptospirosis risk areas: a systematic review |
title_fullStr |
Geoprocessing and spatial analysis for identifying leptospirosis risk areas: a systematic review |
title_full_unstemmed |
Geoprocessing and spatial analysis for identifying leptospirosis risk areas: a systematic review |
title_sort |
geoprocessing and spatial analysis for identifying leptospirosis risk areas: a systematic review |
publisher |
Universidade de São Paulo (USP) |
url |
https://doi.org/10.1590/s1678-9946202062035 https://doaj.org/article/730407b041564c08a5027d3132e2f357 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Revista do Instituto de Medicina Tropical de São Paulo, Vol 62 |
op_relation |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0036-46652020000100402&lng=en&tlng=en https://doaj.org/toc/0036-4665 https://doaj.org/toc/1678-9946 0036-4665 1678-9946 doi:10.1590/s1678-9946202062035 https://doaj.org/article/730407b041564c08a5027d3132e2f357 |
op_doi |
https://doi.org/10.1590/s1678-9946202062035 |
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Revista do Instituto de Medicina Tropical de São Paulo |
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62 |
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