Identification

Name

Cholera/Dysentery Mapping

Contact people
(1) Mohammad Ali, mali@ivi.int
Created

2013-11-13 22:52:33+00:00

Modified

2015-12-02 04:12:13.730413+00:00

Overview

Overview

This is the first demonstration of Poisson kriging used for the spatial interpolation of cholera and dysentery. Disease risk and a measure of reliability are mapped for a cholera endemic area of Bangladesh.

Question

What is the incidence rate across a landscape? Are local disease rates significantly different from the regional rates?

Purpose

Prediction

Scope

Location

Goals
(1) Baseline awareness
(2) Situational awareness
Decision support

Unknown

Based on
Methods
(1) Statistics/Poisson kriging
Products
(1) Contact network
(2) Disease incidence
Documents
(1) Document Ali M, Goovaerts P, Nazia N, Haq MZ, Yunus M, et al.: Application of Poisson kriging to the mapp… (2006)
Notes
General notes

"Unlike traditional semivariogram estimators, the version used in this paper directly accounts for population size in the computation of the semivariograms, attenuating the influence of less reliable rates recorded in sparsely population areas"

Application

Diseases
(1) Cholera
Locations
(1) Location Matlab
Status

Utility and readiness

Readiness

Study

Organizations
(1) Organization Australian International Development Agency (AusAID)
Role Funding support
(2) Organization Swedish International Development Cooperation Agency (SIDA)
Role Funding support
(3) Organization International Centre for Diarrhoeal Disease, Research, Bangladesh (ICDDR,b )
Role Funding support
(4) Organization Canadian International Development Agency (CIDA)
Role Funding support
(5) Organization Department for International Development, UK (DFID)
Role Funding support
(6) Organization BioMedWare, Inc
Role Model design
Independently tested

No

Compared to model

No

Compared to reality

Yes

Verification & validation notes

Kriging can provide both an estimate and a measure of the error variance. Data was only validated with data from same location. The model was not verified.

Sensitivity analysis

No

Uncertainty documented

Yes

Availability

Developer contacted

No

Input

Input datasets
(1) Name Cholera and dysentery data household data, Matlab Bangladesh for 1994
Category Established Databases
Subject Disease: Epidemiological
URL
Notes
(2) Name Facilitates the linking of population and disease surveillance data to bard locations (average of five households)
Category Established Databases
Subject Host Population: Demographics
URL
Notes
(3) Name Flood-control embankments, rivers, village boundaries, and health facilities
Category Established Databases
Subject Environment: Geography
URL
Notes
(4) Name Matlab hospital surveillance system, which also has a laboratory for the identification of pathogens
Category ED/Hospital Records
Subject Disease: Epidemiological
URL
Notes