Predictive risk mapping of schistosomiasis in Brazil using Bayesian geostatistical models

Author:

Scholte Ronaldo G.C.,Gosoniu Laura,Malone John B.,Chammartin Frédérique,Utzinger Jürg,Vounatsou Penelope

Publisher

Elsevier BV

Subject

Infectious Diseases,Parasitology,Insect Science,Veterinary (miscellaneous)

Reference47 articles.

1. An analysis of the impact of the schistosomiasis control programme in Brazil;Amaral;Mem. Inst. Oswaldo Cruz,2006

2. Review of literature on abiotic factors influencing the distribution and life-cycles of bilharziasis intermediate host snails;Appleton;Malacol. Rev.,1978

3. Stationary process approximation for the analysis of large spatial datasets;Banerjee;J. R. Stat. Soc. Ser. B - Stat. Methodol.,2008

4. Use of thermal and vegetation index data from Earth observing satellites to evaluate the risk of schistosomiasis in Bahia, Brazil;Bavia;Acta Trop.,2001

5. Remote sensing and human health: new sensors and new opportunities;Beck;Emerg. Infect. Dis.,2000

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