Literature DB >> 16647969

Determining global population distribution: methods, applications and data.

D L Balk1, U Deichmann, G Yetman, F Pozzi, S I Hay, A Nelson.   

Abstract

Evaluating the total numbers of people at risk from infectious disease in the world requires not just tabular population data, but data that are spatially explicit and global in extent at a moderate resolution. This review describes the basic methods for constructing estimates of global population distribution with attention to recent advances in improving both spatial and temporal resolution. To evaluate the optimal resolution for the study of disease, the native resolution of the data inputs as well as that of the resulting outputs are discussed. Assumptions used to produce different population data sets are also described, with their implications for the study of infectious disease. Lastly, the application of these population data sets in studies to assess disease distribution and health impacts is reviewed. The data described in this review are distributed in the accompanying DVD.

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Year:  2006        PMID: 16647969      PMCID: PMC3154651          DOI: 10.1016/S0065-308X(05)62004-0

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


  25 in total

1.  The geography of poverty and wealth.

Authors:  J D Sachs; A D Mellinger; J L Gallup
Journal:  Sci Am       Date:  2001-03       Impact factor: 2.142

2.  The global spread of malaria in a future, warmer world.

Authors:  D J Rogers; S E Randolph
Journal:  Science       Date:  2000-09-08       Impact factor: 47.728

3.  Techniques for modelling population-related roster databases.

Authors:  D Martin; I Bracken
Journal:  Environ Plan A       Date:  1991-07

4.  Smooth pycnophylactic interpolation for geographical regions.

Authors:  W R Tobler
Journal:  J Am Stat Assoc       Date:  1979       Impact factor: 5.033

5.  Use of remote sensing and a geographical information system in a national helminth control programme in Chad.

Authors:  Simon Brooker; Michael Beasley; Montanan Ndinaromtan; Ester Mobele Madjiouroum; Marie Baboguel; Elie Djenguinabe; Simon I Hay; Don A P Bundy
Journal:  Bull World Health Organ       Date:  2002-11-28       Impact factor: 9.408

6.  Estimating the number of helminthic infections in the Republic of Cameroon from data on infection prevalence in schoolchildren.

Authors:  S Brooker; C A Donnelly; H L Guyatt
Journal:  Bull World Health Organ       Date:  2003-11-17       Impact factor: 9.408

Review 7.  A preliminary continental risk map for malaria mortality among African children.

Authors:  R W Snow; M H Craig; U Deichmann; D le Sueur
Journal:  Parasitol Today       Date:  1999-03

8.  The global distribution of clinical episodes of Plasmodium falciparum malaria.

Authors:  Robert W Snow; Carlos A Guerra; Abdisalan M Noor; Hla Y Myint; Simon I Hay
Journal:  Nature       Date:  2005-03-10       Impact factor: 49.962

Review 9.  The global distribution and population at risk of malaria: past, present, and future.

Authors:  Simon I Hay; Carlos A Guerra; Andrew J Tatem; Abdisalan M Noor; Robert W Snow
Journal:  Lancet Infect Dis       Date:  2004-06       Impact factor: 25.071

10.  Assessing the accuracy of satellite derived global and national urban maps in Kenya.

Authors:  A J Tatem; A M Noor; S I Hay
Journal:  Remote Sens Environ       Date:  2005-05-15       Impact factor: 10.164

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  127 in total

1.  Use of Bayesian geostatistical prediction to estimate local variations in Schistosoma haematobium infection in western Africa.

Authors:  Archie C A Clements; Sonja Firth; Robert Dembelé; Amadou Garba; Seydou Touré; Moussa Sacko; Aly Landouré; Elisa Bosqué-Oliva; Adrian G Barnett; Simon Brooker; Alan Fenwick
Journal:  Bull World Health Organ       Date:  2009-07-27       Impact factor: 9.408

2.  Predicting the effect of climate change on African trypanosomiasis: integrating epidemiology with parasite and vector biology.

Authors:  Sean Moore; Sourya Shrestha; Kyle W Tomlinson; Holly Vuong
Journal:  J R Soc Interface       Date:  2011-11-09       Impact factor: 4.118

Review 3.  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

Review 4.  The changing limits and incidence of malaria in Africa: 1939-2009.

Authors:  Robert W Snow; Punam Amratia; Caroline W Kabaria; Abdisalan M Noor; Kevin Marsh
Journal:  Adv Parasitol       Date:  2012       Impact factor: 3.870

5.  Bayesian geostatistics in health cartography: the perspective of malaria.

Authors:  Anand P Patil; Peter W Gething; Frédéric B Piel; Simon I Hay
Journal:  Trends Parasitol       Date:  2011-03-17

Review 6.  Mapping the global extent of malaria in 2005.

Authors:  Carlos A Guerra; Robert W Snow; Simon I Hay
Journal:  Trends Parasitol       Date:  2006-06-23

7.  The use of mobile phone data for the estimation of the travel patterns and imported Plasmodium falciparum rates among Zanzibar residents.

Authors:  Andrew J Tatem; Youliang Qiu; David L Smith; Oliver Sabot; Abdullah S Ali; Bruno Moonen
Journal:  Malar J       Date:  2009-12-10       Impact factor: 2.979

8.  Quantifying the number of pregnancies at risk of malaria in 2007: a demographic study.

Authors:  Stephanie Dellicour; Andrew J Tatem; Carlos A Guerra; Robert W Snow; Feiko O ter Kuile
Journal:  PLoS Med       Date:  2010-01-26       Impact factor: 11.069

9.  Quantifying aggregated uncertainty in Plasmodium falciparum malaria prevalence and populations at risk via efficient space-time geostatistical joint simulation.

Authors:  Peter W Gething; Anand P Patil; Simon I Hay
Journal:  PLoS Comput Biol       Date:  2010-04-01       Impact factor: 4.475

10.  A world malaria map: Plasmodium falciparum endemicity in 2007.

Authors:  Simon I Hay; Carlos A Guerra; Peter W Gething; Anand P Patil; Andrew J Tatem; Abdisalan M Noor; Caroline W Kabaria; Bui H Manh; Iqbal R F Elyazar; Simon Brooker; David L Smith; Rana A Moyeed; Robert W Snow
Journal:  PLoS Med       Date:  2009-03-24       Impact factor: 11.069

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