Diarrheal disease risk in rural Bangladesh decreases as tubewell density increases: a zero-inflated and geographically weighted analysis

@inproceedings{Carrel2011DiarrhealDR,
  title={Diarrheal disease risk in rural Bangladesh decreases as tubewell density increases: a zero-inflated and geographically weighted analysis},
  author={Margaret Carrel and Veronica Escamilla and Jane P. Messina and Sophia H. Giebultowicz and Jennifer Winston and Mohammad Yunus and Peter Kim Streatfield and Michael Emch},
  booktitle={International journal of health geographics},
  year={2011}
}
BACKGROUND This study investigates the impact of tubewell user density on cholera and shigellosis events in Matlab, Bangladesh between 2002 and 2004. Household-level demographic, health, and water infrastructure data were incorporated into a local geographic information systems (GIS) database. Geographically-weighted regression (GWR) models were constructed to identify spatial variation of relationships across the study area. Zero-inflated negative binomial regression models were run to… CONTINUE READING
Highly Cited
This paper has 18 citations. REVIEW CITATIONS

14 Figures & Tables

Connections & Topics

Mentioned Connections BETA
Increasing the amount of drinking water available to households through increased density of tubewells contributed to lower reports of cholera and shigellosis events in rural Bangladesh .
Results for both cholera and shigellosis GWR models suggest that tubewell density effects are spatially stationary and the use of non - spatial statistical methods is appropriate .
Zero - inflated negative binomial regression models were run to simultaneously measure the likelihood of increased magnitude of disease events and the likelihood of zero cholera or shigellosis events .
This study investigates the impact of tubewell user density on cholera and shigellosis events in Matlab , Bangladesh between 2002 and 2004 .
In Matlab , households with greater tubewell density were more likely to report zero cholera or shigellosis events .
This study investigates the impact of tubewell user density on cholera and shigellosis events in Matlab , Bangladesh between 2002 and 2004 .
Zero - inflated negative binomial regression models were run to simultaneously measure the likelihood of increased magnitude of disease events and the likelihood of zero cholera or shigellosis events .
In Matlab , households with greater tubewell density were more likely to report zero cholera or shigellosis events .
Increasing the amount of drinking water available to households through increased density of tubewells contributed to lower reports of cholera and shigellosis events in rural Bangladesh .
Results for both cholera and shigellosis GWR models suggest that tubewell density effects are spatially stationary and the use of non - spatial statistical methods is appropriate .
All Topics