Literature DB >> 10997203

An overview of remote sensing and geodesy for epidemiology and public health application.

S I Hay1.   

Abstract

The techniques of remote sensing (RS) and geodesy have the potential to revolutionize the discipline of epidemiology and its application in human health. As a new departure from conventional epidemiological methods, these techniques require some detailed explanation. This review provides the theoretical background to RS including (i) its physical basis, (ii) an explanation of the orbital characteristics and specifications of common satellite sensor systems, (iii) details of image acquisition and procedures adopted to overcome inherent sources of data degradation, and (iv) a background to geophysical data preparation. This information allows RS applications in epidemiology to be readily interpreted. Some of the techniques used in geodesy, to locate features precisely on Earth so that they can be registered to satellite sensor-derived images, are also included. While the basic principles relevant to public health are presented here, inevitably many of the details must be left to specialist texts.

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Year:  2000        PMID: 10997203      PMCID: PMC3164799          DOI: 10.1016/s0065-308x(00)47005-3

Source DB:  PubMed          Journal:  Adv Parasitol        ISSN: 0065-308X            Impact factor:   3.870


  4 in total

1.  African land-cover classification using satellite data.

Authors:  C J Tucker; J R Townshend; T E Goff
Journal:  Science       Date:  1985-01-25       Impact factor: 47.728

Review 2.  Remotely sensed surrogates of meteorological data for the study of the distribution and abundance of arthropod vectors of disease.

Authors:  S I Hay; C J Tucker; D J Rogers; M J Packer
Journal:  Ann Trop Med Parasitol       Date:  1996-02

3.  Deriving meteorological variables across Africa for the study and control of vector-borne disease: a comparison of remote sensing and spatial interpolation of climate.

Authors:  S I Hay; J J Lennon
Journal:  Trop Med Int Health       Date:  1999-01       Impact factor: 2.622

4.  Remote sensing and human health: new sensors and new opportunities.

Authors:  L R Beck; B M Lobitz; B L Wood
Journal:  Emerg Infect Dis       Date:  2000 May-Jun       Impact factor: 6.883

  4 in total
  58 in total

Review 1.  A global assessment of closed forests, deforestation and malaria risk.

Authors:  C A Guerra; R W Snow; S I Hay
Journal:  Ann Trop Med Parasitol       Date:  2006-04

2.  Remote sensing of malaria in urban areas: two scales, two problems.

Authors:  Simon I Hay; Andrew J Tatem
Journal:  Am J Trop Med Hyg       Date:  2005-06       Impact factor: 2.345

3.  Evidence-Based Approach to Decision Making: The Inclusion of GIS as Part of Ghana's Health Information Systems.

Authors:  D de Souza
Journal:  Ghana Med J       Date:  2009-03

4.  The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis.

Authors:  Marianne E Sinka; Michael J Bangs; Sylvie Manguin; Theeraphap Chareonviriyaphap; Anand P Patil; William H Temperley; Peter W Gething; Iqbal R F Elyazar; Caroline W Kabaria; Ralph E Harbach; Simon I Hay
Journal:  Parasit Vectors       Date:  2011-05-25       Impact factor: 3.876

5.  An environmental data set for vector-borne disease modeling and epidemiology.

Authors:  Guillaume Chabot-Couture; Karima Nigmatulina; Philip Eckhoff
Journal:  PLoS One       Date:  2014-04-22       Impact factor: 3.240

6.  Upscale or downscale: applications of fine scale remotely sensed data to Chagas disease in Argentina and schistosomiasis in Kenya.

Authors:  Uriel Kitron; Julie A Clennon; M Carla Cecere; Ricardo E Gürtler; Charles H King; Gonzalo Vazquez-Prokopec
Journal:  Geospat Health       Date:  2006-11       Impact factor: 1.212

7.  Creating spatially defined databases for equitable health service planning in low-income countries: the example of Kenya.

Authors:  A M Noor; P W Gikandi; S I Hay; R O Muga; R W Snow
Journal:  Acta Trop       Date:  2004-08       Impact factor: 3.112

8.  Stable and unstable malaria hotspots in longitudinal cohort studies in Kenya.

Authors:  Philip Bejon; Thomas N Williams; Anne Liljander; Abdisalan M Noor; Juliana Wambua; Edna Ogada; Ally Olotu; Faith H A Osier; Simon I Hay; Anna Färnert; Kevin Marsh
Journal:  PLoS Med       Date:  2010-07-06       Impact factor: 11.069

9.  The dominant Anopheles vectors of human malaria in the Americas: occurrence data, distribution maps and bionomic précis.

Authors:  Marianne E Sinka; Yasmin Rubio-Palis; Sylvie Manguin; Anand P Patil; Will H Temperley; Peter W Gething; Thomas Van Boeckel; Caroline W Kabaria; Ralph E Harbach; Simon I Hay
Journal:  Parasit Vectors       Date:  2010-08-16       Impact factor: 3.876

10.  Spatial distribution of human Schistosoma japonicum infections in the Dongting Lake Region, China.

Authors:  Giovanna Raso; Yuesheng Li; Zhengyuan Zhao; Julie Balen; Gail M Williams; Donald P McManus
Journal:  PLoS One       Date:  2009-09-14       Impact factor: 3.240

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