Literature DB >> 8600771

Predictions of malaria vector distribution in Belize based on multispectral satellite data.

D R Roberts1, J F Paris, S Manguin, R E Harbach, R Woodruff, E Rejmankova, J Polanco, B Wullschleger, L J Legters.   

Abstract

Use of multispectral satellite data to predict arthropod-borne disease trouble spots is dependent on clear understandings of environmental factors that determine the presence of disease vectors. A blind test of remote sensing-based predictions for the spatial distribution of a malaria vector, Anopheles pseudopunctipennis, was conducted as a follow-up to two years of studies on vector-environmental relationships in Belize. Four of eight sites that were predicted to be high probability locations for presence of An. pseudopunctipennis were positive and all low probability sites (0 of 12) were negative. The absence of An. pseudopunctipennis at four high probability locations probably reflects the low densities that seem to characterize field populations of this species, i.e., the population densities were below the threshold of our sampling effort. Another important malaria vector, An. darlingi, was also present at all high probability sites and absent at all low probability sites. Anopheles darlingi, like An. pseudopunctipennis, is a riverine species. Prior to these collections at ecologically defined locations, this species was last detected in Belize in 1946.

Entities:  

Keywords:  NASA Discipline General Space Life Sciences; Non-NASA Center

Mesh:

Year:  1996        PMID: 8600771     DOI: 10.4269/ajtmh.1996.54.304

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  24 in total

1.  Modeling the relationship between precipitation and malaria incidence in children from a holoendemic area in Ghana.

Authors:  Anne Caroline Krefis; Norbert Georg Schwarz; Andreas Krüger; Julius Fobil; Bernard Nkrumah; Samuel Acquah; Wibke Loag; Nimako Sarpong; Yaw Adu-Sarkodie; Ulrich Ranft; Jürgen May
Journal:  Am J Trop Med Hyg       Date:  2011-02       Impact factor: 2.345

2.  Mapping the ranges and relative abundance of the two principal African malaria vectors, Anopheles gambiae sensu stricto and An. arabiensis, using climate data.

Authors:  S W Lindsay; L Parson; C J Thomas
Journal:  Proc Biol Sci       Date:  1998-05-22       Impact factor: 5.349

Review 3.  Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-Saharan Africa.

Authors:  S I Hay; J A Omumbo; M H Craig; R W Snow
Journal:  Adv Parasitol       Date:  2000       Impact factor: 3.870

4.  Utilization of combined remote sensing techniques to detect environmental variables influencing malaria vector densities in rural West Africa.

Authors:  Peter Dambach; Vanessa Machault; Jean-Pierre Lacaux; Cécile Vignolles; Ali Sié; Rainer Sauerborn
Journal:  Int J Health Geogr       Date:  2012-03-23       Impact factor: 3.918

5.  Spatial analysis of land cover determinants of malaria incidence in the Ashanti Region, Ghana.

Authors:  Anne Caroline Krefis; Norbert Georg Schwarz; Bernard Nkrumah; Samuel Acquah; Wibke Loag; Jens Oldeland; Nimako Sarpong; Yaw Adu-Sarkodie; Ulrich Ranft; Jürgen May
Journal:  PLoS One       Date:  2011-03-23       Impact factor: 3.240

6.  Pathogenic landscapes: interactions between land, people, disease vectors, and their animal hosts.

Authors:  Eric F Lambin; Annelise Tran; Sophie O Vanwambeke; Catherine Linard; Valérie Soti
Journal:  Int J Health Geogr       Date:  2010-10-27       Impact factor: 3.918

7.  Using high spatial resolution remote sensing for risk mapping of malaria occurrence in the Nouna district, Burkina Faso.

Authors:  Peter Dambach; Ali Sié; Jean-Pierre Lacaux; Cécile Vignolles; Vanessa Machault; Rainer Sauerborn
Journal:  Glob Health Action       Date:  2009-11-11       Impact factor: 2.640

Review 8.  Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data.

Authors:  Aurélia Stefani; Isabelle Dusfour; Ana Paula S A Corrêa; Manoel C B Cruz; Nadine Dessay; Allan K R Galardo; Clícia D Galardo; Romain Girod; Margarete S M Gomes; Helen Gurgel; Ana Cristina F Lima; Eduardo S Moreno; Lise Musset; Mathieu Nacher; Alana C S Soares; Bernard Carme; Emmanuel Roux
Journal:  Malar J       Date:  2013-06-08       Impact factor: 2.979

9.  Using remote sensing to map larval and adult populations of Anopheles hyrcanus (Diptera: Culicidae) a potential malaria vector in Southern France.

Authors:  Annelise Tran; Nicolas Ponçon; Céline Toty; Catherine Linard; Hélène Guis; Jean-Baptiste Ferré; Danny Lo Seen; François Roger; Stéphane de la Rocque; Didier Fontenille; Thierry Baldet
Journal:  Int J Health Geogr       Date:  2008-02-26       Impact factor: 3.918

10.  A supervised land cover classification of a western Kenya lowland endemic for human malaria: associations of land cover with larval Anopheles habitats.

Authors:  F M Mutuku; M N Bayoh; A W Hightower; J M Vulule; J E Gimnig; J M Mueke; F A Amimo; E D Walker
Journal:  Int J Health Geogr       Date:  2009-04-16       Impact factor: 3.918

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