EconPapers    
Economics at your fingertips  
 

Analysing morbidity determination with flawed data: The case of dysentery in regional India

Michael Beenstock () and Patricia Sturdy

Social Science & Medicine, 1991, vol. 32, issue 2, 211-219

Abstract: A method is suggested for removing measurement error from morbidity data collected in Third World countries. The method assumes the existence of diseases which are independent of socio-economic factors and exploits observed correlations between these disease and these factors to construct an index of measurement error. This index may be used as an explanatory variable in the analysis of other diseases which are hypothesised to have socio-economic causes which are the object of research. The method is applied to statewide data for India where the index of measurement error is based on influenza data which is then used to isolate the socio-economic factors that influenced dysentery.

Keywords: morbidity; India; statistics; methodology (search for similar items in EconPapers)
Date: 1991
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0277-9536(91)90062-H
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:32:y:1991:i:2:p:211-219

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01

Access Statistics for this article

Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian

More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:socmed:v:32:y:1991:i:2:p:211-219