Quantifying stochastic error propagation in Bayesian parametric estimates using non-linear parameters of Anopheles gambiae s.l. habitats-Reference-Cited by-同舟云学术

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Quantifying stochastic error propagation in Bayesian parametric estimates using non-linear parameters of Anopheles gambiae s.l. habitats

Published:2010-12-14 Issue:24 Volume:31 Page:6585-6601
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Jacob Benjamin George¹,Gunter James²,Caamano Erick Xavier¹,Gathings David Alexander¹,Githure John³,Regens James Larry²,Novak Robert John¹

Affiliation:

1. a School of Medicine, Division of Infectious Diseases, The University of Alabama at Birmingham , Birmingham, AL, 35294, USA

2. b Center for Biosecurity Research, University of Oklahoma Health Sciences Center , 755 Research Parkway, Suite 520, Oklahoma City, OK, 73104, USA

3. c Human Health Division, International Centre of Insect Physiology and Ecology (ICIPE) , Nairobi, Kenya

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160903286721

Reference55 articles.

1. An Autologistic Model for the Spatial Distribution of Wildlife

2. Remote Sensing as a Landscape Epidemiologic Tool to Identify Villages at High Risk for Malaria Transmission

3. Childhood malaria in the Gambia: a case-study in model-based geostatistics

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