Literature DB >> 22109861

Ecological study and risk mapping of leishmaniasis in an endemic area of Brazil based on a geographical information systems approach.

Alba Valéria Machado da Silva1, Monica de Avelar Figueiredo Mafra Magalhães, Reginaldo Peçanha Brazil, João Carlos Araujo Carreira.   

Abstract

Visceral leishmaniasis is a vector-borne disease highly influenced by eco-epidemiological factors. Geographical information systems (GIS) have proved to be a suitable approach for the analysis of environmental components that affect the spatial distribution of diseases. Exploiting this methodology, a model was developed for the mapping of the distribution and incidence of canine leishmaniasis in an endemic area of Brazil. Local variations were observed with respect to infection incidence and distribution of serological titers, i.e. high titers were noted close to areas with preserved vegetation, while low titers were more frequent in areas where people kept chickens. Based on these results, we conclude that the environment plays an important role in generating relatively protected areas within larger endemic regions, but that it can also contribute to the creation of hotspots with clusters of comparatively high serological titers indicating a high level of transmission compared with neighbouring areas.

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Year:  2011        PMID: 22109861     DOI: 10.4081/gh.2011.155

Source DB:  PubMed          Journal:  Geospat Health        ISSN: 1827-1987            Impact factor:   1.212


  8 in total

1.  High seroprevalence and peripheral spatial distribution of visceral leishmaniasis among domestic dogs in an emerging urban focus in Central Brazil: a cross-sectional study.

Authors:  Amanda Gabriela de Carvalho; João Gabriel Guimarães Luz; Luane Dantas Rodrigues; João Victor Leite Dias; Cor Jesus Fernandes Fontes
Journal:  Pathog Glob Health       Date:  2018-02-20       Impact factor: 2.894

2.  Coarse-resolution Ecology of Etiological Agent, Vector, and Reservoirs of Zoonotic Cutaneous Leishmaniasis in Libya.

Authors:  Abdallah M Samy; Badereddin B Annajar; Mostafa Ramadhan Dokhan; Samia Boussaa; A Townsend Peterson
Journal:  PLoS Negl Trop Dis       Date:  2016-02-10

3.  Spatial analysis of leishmaniasis in Brazil: a systematized review.

Authors:  Melca Niceia Altoé de Marchi; Eloiza Teles Caldart; Felippe Danyel Cardoso Martins; Roberta Lemos Freire
Journal:  Rev Inst Med Trop Sao Paulo       Date:  2019-12-20       Impact factor: 1.846

4.  Seroprevalence and risk factors associated with exposure to Leishmania infantum in dogs, in an endemic Mediterranean region.

Authors:  Pasquale Rombolà; Giulia Barlozzari; Andrea Carvelli; Manuela Scarpulla; Francesca Iacoponi; Gladia Macrì
Journal:  PLoS One       Date:  2021-01-04       Impact factor: 3.240

5.  The effect of geo-climatic determinants on the distribution of cutaneous leishmaniasis in a recently emerging focus in eastern Iran.

Authors:  Mehdi Karamian; Mohammad Amin Ghatee; Majid Shayesteh; Walter Robert Taylor; Saeed Mohebi-Nejad; Ghasem Taheri; Mohammad Reza Jamavar
Journal:  Parasit Vectors       Date:  2021-10-15       Impact factor: 3.876

6.  Survey of sand flies (Diptera: Psychodidae) in an environmentally protected area in Brazil.

Authors:  Lara Saraiva; Alanna Silva Reis; Jeronimo Marteleto Nunes Rugani; Agnes Antônia Sampaio Pereira; Felipe Dutra Rêgo; Ana Cristina Vianna Mariano da Rocha Lima; Célia Maria Ferreira Gontijo; José Dilermando Andrade Filho
Journal:  PLoS One       Date:  2015-08-12       Impact factor: 3.240

7.  Modeling of spatial distribution for scorpions of medical importance in the São Paulo State, Brazil.

Authors:  José Brites-Neto; Keila Maria Roncato Duarte
Journal:  Vet World       Date:  2015-07-07

8.  Vulnerability to the transmission of human visceral leishmaniasis in a Brazilian urban area.

Authors:  Celina Roma Sánchez de Toledo; Andréa Sobral de Almeida; Sergio Augusto de Miranda Chaves; Paulo Chagastelles Sabroza; Luciano Medeiros Toledo; Jefferson Pereira Caldas
Journal:  Rev Saude Publica       Date:  2017-05-15       Impact factor: 2.106

  8 in total

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