Skip to main navigation
Skip to search
Skip to main content
Johns Hopkins University Home
Home
Profiles
Research units
Research output
Search by expertise, name or affiliation
Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings
Peter J. Diggle, Emanuele Giorgi
Research output
:
Contribution to journal
›
Article
›
peer-review
22
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Geostatistics
85%
Resources
53%
Model-based
51%
Standard Model
43%
Zero-inflation
29%
Disease Mapping
29%
Environmental Factors
27%
Africa
26%
Spatial Process
25%
Region of Interest
25%
Logistics/distribution
24%
Public Health
24%
Generalized Linear Mixed Model
24%
Statistical Software
24%
Risk Factors
24%
Survey Data
23%
Community
19%
Statistical method
18%
Biased
18%
Predictors
17%
Stochastic Processes
16%
Requirements
15%
Review
13%
Range of data
11%
Business & Economics
Geostatistics
100%
Generalized Linear Mixed Model
44%
Distribution/logistics
42%
Survey Data
37%
Risk Factors
37%
Resources
36%
Environmental Risk
34%
Predictors
30%
Stochastic Processes
30%
Statistical Methods
28%
Public Health
27%
Inflation
20%
Software
18%
Africa
18%