Mapping Waterborne Disease Data

Mapping Waterborne Disease Data

Paul Gager

Technical Director

Background

• Mapping work conducted for Cambodia Climate Change, Water and Health Project

• DRIP-SWICCH: Developing Research and Innovative Policies Specific to the Water-related Impacts of Climate Change on Health

Pathways by which climate change affects health (adapted from Patz et al, 2008)

Context

Data Inputs<- Census Data 1998 & 2008

Monthly diarrhea inpatients, by province 1998 to 2012 ->

Basic Visualizations

Climatic Variables

• Water level

• Min Temperature

• Max Temperature

• Temp Difference

Correlation between climate and disease cases

Time Series Regression Analysis

• The direction and magnitude of the effect of temperature on diarrhoeal disease in provinces of Cambodia (time-series analysis: red=positive association; blue=negative association)

• X scale: % change for 1 unit of temp

Correlation between disease rates and other factors, by province

• Flooding

• Census 1998 & 2008– Water Supply– Sanitation– Poverty– Education

• Disease rates were averaged for years 97-03 and 2012

Summary – Human Factors

• Main risk factors– unimproved water sources (e.g. tube

wells and surface water)– poor sanitation facilities (i.e. lack of

latrines and sewerage infrastructure),

• Strong evidence of a protective effect of education and literacy, particularly for women and girls, against diarrhoeal disease.

Summary – Human Factors

• Population size and density and factors related to employment were also significantly correlated with diarrhoeal disease incidence.

Summary - Climate

• The relationship between monthly temperature, rainfall and river height and diarrhoeal disease incidence across Cambodia’s provinces proved heterogeneous

• Provinces differing with respect to the direction and magnitude of these associations.

Thank you

Questions ?