Literature DB >> 15042174

Using epidemiological survey data to infer geographic distributions of leishmaniasis vector species.

A Townsend Peterson1, Ricardo Scachetti Pereira, Vera Fonseca de Camargo Neves.   

Abstract

An important aspect of tropical medicine is analysis of geographic aspects of risk of disease transmission, which for lack of detailed public health data must often be reduced to an understanding of the distributions of critical species such as vectors and reservoirs. We examine the applicability of a new technique, ecological niche modeling, to the challenge of understanding distributions of such species based on municipalities in the state of São Paulo in which a group of 5 Lutzomyia sandfly species have been recorded. The technique, when tested based on independent occurrence data, yielded highly significant predictions of species' distributions; minimum sample sizes for effective predictions were around 40 municipalities.

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Year:  2004        PMID: 15042174     DOI: 10.1590/s0037-86822004000100003

Source DB:  PubMed          Journal:  Rev Soc Bras Med Trop        ISSN: 0037-8682            Impact factor:   1.581


  16 in total

1.  Geographical potential of Argentine ants (Linepithema humile Mayr) in the face of global climate change.

Authors:  Núria Roura-Pascual; Andrew V Suarez; Crisanto Gómez; Pere Pons; Yoshifumi Touyama; Alexander L Wild; A Townsend Peterson
Journal:  Proc Biol Sci       Date:  2004-12-22       Impact factor: 5.349

2.  Current knowledge of Leishmania vectors in Mexico: how geographic distributions of species relate to transmission areas.

Authors:  Camila González; Eduardo A Rebollar-Téllez; Sergio Ibáñez-Bernal; Ingeborg Becker-Fauser; Enrique Martínez-Meyer; A Townsend Peterson; Víctor Sánchez-Cordero
Journal:  Am J Trop Med Hyg       Date:  2011-11       Impact factor: 2.345

3.  Geographic distribution of phlebotomine sandfly species (Diptera: Psychodidae) in Central-West Brazil.

Authors:  Paulo Silva de Almeida; Andrey José de Andrade; Alan Sciamarelli; Josué Raizer; Jaqueline Aparecida Menegatti; Sandra Cristina Negreli Moreira Hermes; Maria do Socorro Laurentino de Carvalho; Rodrigo Gurgel-Gonçalves
Journal:  Mem Inst Oswaldo Cruz       Date:  2015-05-26       Impact factor: 2.743

4.  Predicting the potential distribution of the cattle fever tick Rhipicephalus annulatus (Acari: Ixodidae) using ecological niche modeling.

Authors:  Mohammed Okely; Areej A Al-Khalaf
Journal:  Parasitol Res       Date:  2022-09-22       Impact factor: 2.383

5.  Ecological niche model of Phlebotomus alexandri and P. papatasi (Diptera: Psychodidae) in the Middle East.

Authors:  Michelle G Colacicco-Mayhugh; Penny M Masuoka; John P Grieco
Journal:  Int J Health Geogr       Date:  2010-01-21       Impact factor: 3.918

6.  Geographical distribution of American cutaneous leishmaniasis and its phlebotomine vectors (Diptera: Psychodidae) in the state of São Paulo, Brazil.

Authors:  Paloma Helena Fernandes Shimabukuro; Túllio Romão Ribeiro da Silva; Frederico Octávio Fonseca Ribeiro; Luke Anthony Baton; Eunice Aparecida Bianchi Galati
Journal:  Parasit Vectors       Date:  2010-12-20       Impact factor: 3.876

7.  Predicted distribution of sand fly (Diptera: Psychodidae) species involved in the transmission of Leishmaniasis in São Paulo state, Brazil, utilizing maximum entropy ecological niche modeling.

Authors:  Elivelton Da Silva Fonseca; Raul Borges Guimarães; Luiz Euribel Prestes-Carneiro; José Eduardo Tolezano; Moara De Santana Martins Rodgers; Ryan Harry Avery; John B Malone
Journal:  Pathog Glob Health       Date:  2021-01-11       Impact factor: 2.894

8.  Combining climatic projections and dispersal ability: a method for estimating the responses of sandfly vector species to climate change.

Authors:  Dominik Fischer; Philipp Moeller; Stephanie M Thomas; Torsten J Naucke; Carl Beierkuhnlein
Journal:  PLoS Negl Trop Dis       Date:  2011-11-29

9.  Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil.

Authors:  Paulo Silva de Almeida; Alan Sciamarelli; Paulo Mira Batista; Ademar Dimas Ferreira; João Nascimento; Josué Raizer; José Dilermando Andrade Filho; Rodrigo Gurgel-Gonçalves
Journal:  Mem Inst Oswaldo Cruz       Date:  2013-12       Impact factor: 2.743

10.  Mapping environmental dimensions of dengue fever transmission risk in the Aburrá Valley, Colombia.

Authors:  Sair Arboleda; Nicolas Jaramillo-O; A Townsend Peterson
Journal:  Int J Environ Res Public Health       Date:  2009-12-02       Impact factor: 3.390

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