Geospatial analysis of tegumentary leishmaniasis in Rio de Janeiro state, Brazil from 2000 to 2015: Species typing and flow of travelers and migrants with leishmaniasis.
Background We identified the species of Leishmania isolated from traveling and migrant patients attended in a reference center from 2000 to 2015, we performed the georeferencing of these species in Rio de Janeiro (RJ) state and we had knowledge about the human flows between the likely location of in...
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ftdoajarticles:oai:doaj.org/article:f79e779010054018a26becb90d50d504 2023-05-15T15:17:40+02:00 Geospatial analysis of tegumentary leishmaniasis in Rio de Janeiro state, Brazil from 2000 to 2015: Species typing and flow of travelers and migrants with leishmaniasis. Luciana de Freitas Campos Miranda Raquel da Silva Pacheco Maria Inês Fernandes Pimentel Mariza de Matos Salgueiro Aline Fagundes da Silva Cíntia Xavier de Mello Juliana Helena da Silva Barros Claudia Maria Valete-Rosalino Maria de Fátima Madeira Samanta Cristina das Chagas Xavier Armando de Oliveira Schubach 2019-11-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0007748 https://doaj.org/article/f79e779010054018a26becb90d50d504 EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0007748 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0007748 https://doaj.org/article/f79e779010054018a26becb90d50d504 PLoS Neglected Tropical Diseases, Vol 13, Iss 11, p e0007748 (2019) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2019 ftdoajarticles https://doi.org/10.1371/journal.pntd.0007748 2022-12-31T12:49:08Z Background We identified the species of Leishmania isolated from traveling and migrant patients attended in a reference center from 2000 to 2015, we performed the georeferencing of these species in Rio de Janeiro (RJ) state and we had knowledge about the human flows between the likely location of infection (LLI) and place of residence (PR) in RJ state, Brazil. Methodology/principal findings This is a retrospective cross-sectional study including 171 patients diagnosed with ATL. Google Maps, OpenStreetMap, and Bing Maps were tools used to georeference LLI and PR. For etiological identification, we used isoenzyme electrophoresis, polymerase chain reaction-restriction fragment length polymorphism (molecular target hsp70C with restriction enzymes HaeIII and BstUI), and sequencing of the internal transcribed spacer of ribosomal DNA. ARCGIS software was used to create maps of the geographic distribution of Leishmania species in the state and municipality of RJ, together with flows between the LLI and PR. Isolates from 104 patients were identified as: L. (Viannia) braziliensis (80.8%), L. (V.) naiffi (7.7%), L. (V.) guyanensis (6.7%), L. (Leishmania) amazonensis (1%), and genetic variants of L. (V.) braziliensis (3.8%). The flow maps showed that the LLI included 4 countries, 19 Brazilian states, and 18 municipalities of RJ state. The Brazilian states with the highest density of cases were Amazonas (n = 32), Bahia (n = 18), and Ceará (n = 15). Conclusions/significance This work is the first contribution to the knowledge of the routes of Leishmania species introduced in RJ state by migrants and travelers patients. L. (V.) braziliensis, L. (V.) guyanensis, L. (V.) naiffi, L. (L.) amazonensis, and genetic variants of L. (V.) braziliensis were identified in RJ state. To determine whether the autochthonous transmission of these imported species is possible it is necessary the adaptation of these species to environmental conditions as well as the presence of reservoirs and phlebotomine vectors in this region. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 13 11 e0007748 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Luciana de Freitas Campos Miranda Raquel da Silva Pacheco Maria Inês Fernandes Pimentel Mariza de Matos Salgueiro Aline Fagundes da Silva Cíntia Xavier de Mello Juliana Helena da Silva Barros Claudia Maria Valete-Rosalino Maria de Fátima Madeira Samanta Cristina das Chagas Xavier Armando de Oliveira Schubach Geospatial analysis of tegumentary leishmaniasis in Rio de Janeiro state, Brazil from 2000 to 2015: Species typing and flow of travelers and migrants with leishmaniasis. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Background We identified the species of Leishmania isolated from traveling and migrant patients attended in a reference center from 2000 to 2015, we performed the georeferencing of these species in Rio de Janeiro (RJ) state and we had knowledge about the human flows between the likely location of infection (LLI) and place of residence (PR) in RJ state, Brazil. Methodology/principal findings This is a retrospective cross-sectional study including 171 patients diagnosed with ATL. Google Maps, OpenStreetMap, and Bing Maps were tools used to georeference LLI and PR. For etiological identification, we used isoenzyme electrophoresis, polymerase chain reaction-restriction fragment length polymorphism (molecular target hsp70C with restriction enzymes HaeIII and BstUI), and sequencing of the internal transcribed spacer of ribosomal DNA. ARCGIS software was used to create maps of the geographic distribution of Leishmania species in the state and municipality of RJ, together with flows between the LLI and PR. Isolates from 104 patients were identified as: L. (Viannia) braziliensis (80.8%), L. (V.) naiffi (7.7%), L. (V.) guyanensis (6.7%), L. (Leishmania) amazonensis (1%), and genetic variants of L. (V.) braziliensis (3.8%). The flow maps showed that the LLI included 4 countries, 19 Brazilian states, and 18 municipalities of RJ state. The Brazilian states with the highest density of cases were Amazonas (n = 32), Bahia (n = 18), and Ceará (n = 15). Conclusions/significance This work is the first contribution to the knowledge of the routes of Leishmania species introduced in RJ state by migrants and travelers patients. L. (V.) braziliensis, L. (V.) guyanensis, L. (V.) naiffi, L. (L.) amazonensis, and genetic variants of L. (V.) braziliensis were identified in RJ state. To determine whether the autochthonous transmission of these imported species is possible it is necessary the adaptation of these species to environmental conditions as well as the presence of reservoirs and phlebotomine vectors in this region. |
format |
Article in Journal/Newspaper |
author |
Luciana de Freitas Campos Miranda Raquel da Silva Pacheco Maria Inês Fernandes Pimentel Mariza de Matos Salgueiro Aline Fagundes da Silva Cíntia Xavier de Mello Juliana Helena da Silva Barros Claudia Maria Valete-Rosalino Maria de Fátima Madeira Samanta Cristina das Chagas Xavier Armando de Oliveira Schubach |
author_facet |
Luciana de Freitas Campos Miranda Raquel da Silva Pacheco Maria Inês Fernandes Pimentel Mariza de Matos Salgueiro Aline Fagundes da Silva Cíntia Xavier de Mello Juliana Helena da Silva Barros Claudia Maria Valete-Rosalino Maria de Fátima Madeira Samanta Cristina das Chagas Xavier Armando de Oliveira Schubach |
author_sort |
Luciana de Freitas Campos Miranda |
title |
Geospatial analysis of tegumentary leishmaniasis in Rio de Janeiro state, Brazil from 2000 to 2015: Species typing and flow of travelers and migrants with leishmaniasis. |
title_short |
Geospatial analysis of tegumentary leishmaniasis in Rio de Janeiro state, Brazil from 2000 to 2015: Species typing and flow of travelers and migrants with leishmaniasis. |
title_full |
Geospatial analysis of tegumentary leishmaniasis in Rio de Janeiro state, Brazil from 2000 to 2015: Species typing and flow of travelers and migrants with leishmaniasis. |
title_fullStr |
Geospatial analysis of tegumentary leishmaniasis in Rio de Janeiro state, Brazil from 2000 to 2015: Species typing and flow of travelers and migrants with leishmaniasis. |
title_full_unstemmed |
Geospatial analysis of tegumentary leishmaniasis in Rio de Janeiro state, Brazil from 2000 to 2015: Species typing and flow of travelers and migrants with leishmaniasis. |
title_sort |
geospatial analysis of tegumentary leishmaniasis in rio de janeiro state, brazil from 2000 to 2015: species typing and flow of travelers and migrants with leishmaniasis. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2019 |
url |
https://doi.org/10.1371/journal.pntd.0007748 https://doaj.org/article/f79e779010054018a26becb90d50d504 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 13, Iss 11, p e0007748 (2019) |
op_relation |
https://doi.org/10.1371/journal.pntd.0007748 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0007748 https://doaj.org/article/f79e779010054018a26becb90d50d504 |
op_doi |
https://doi.org/10.1371/journal.pntd.0007748 |
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PLOS Neglected Tropical Diseases |
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e0007748 |
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