Document Detail


Evaluating the completeness of demographic surveillance of children less than five years old in western Kenya: a capture-recapture approach.
MedLine Citation:
PMID:  12932105     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We evaluated the completeness and differential ascertainment of vital events in children less than five years old registered in two rounds of a demographic surveillance system (DSS) in western Kenya using a two-sample capture-recapture. The primary lists consisted of births and child deaths identified by two rounds of the DSS conducted in October 2000 and August 2001. The secondary lists consisted of births and child deaths identified independently from two surveys of 5,000 randomly selected households conducted immediately after each DSS round, covering the same population over the same time period. Analysis of the overlap between lists yielded the following sensitivities for the two DSS rounds: 62% and 49%, respectively, for identifying neonatal deaths (<1 month); 72% and 78%, respectively, for post-neonatal child deaths (1-59 months); and 88% and 78%, respectively, for identifying newborns. Female deaths were less likely to be reported than male deaths. The primary limitation of using capture-recapture in this setting was difficulty in matching between lists due to inconsistent dates of birth and death and variability in spelling of names. Assuming limitations of current methods are sufficiently addressed, capture-recapture appears to be a useful tool in evaluating DSS completeness and differential ascertainment of vital events.
Authors:
Thomas P Eisele; Kim A Lindblade; Daniel H Rosen; Frank Odhiambo; John M Vulule; Laurence Slutsker
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  The American journal of tropical medicine and hygiene     Volume:  69     ISSN:  0002-9637     ISO Abbreviation:  Am. J. Trop. Med. Hyg.     Publication Date:  2003 Jul 
Date Detail:
Created Date:  2003-08-22     Completed Date:  2003-09-08     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0370507     Medline TA:  Am J Trop Med Hyg     Country:  United States    
Other Details:
Languages:  eng     Pagination:  92-7     Citation Subset:  AIM; IM    
Affiliation:
Division of Parasitic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA. teisele@tulane.edu
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MeSH Terms
Descriptor/Qualifier:
Birth Rate
Child, Preschool
Demography*
Epidemiologic Methods
Female
Humans
Infant
Infant, Newborn
Kenya
Male
Mortality
Population Surveillance / methods*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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