Quality of age data in the Sierra Leone Ebola database

Details

• Alternative Title:
  Pan Afr Med J
• Personal Author:
  Womack, Lindsay Shively ; Alpren, Charles ; Martineau, Frederick ; Jambai, Amara ; Singh, Tushar ; Kaiser, Reinhard ; Redd, John Terrell
• Description:
  Introduction
  
  While it is suspected that some ages were misreported during the 2014-2016 West African Ebola outbreak, an analysis examining age data quality has not been conducted. The study objective was to examine age heaping and terminal digit preference as indicators for quality of age data collected in the Sierra Leone Ebola Database (SLED).
  
  Methods
  
  Age data quality for adult patients was analyzed within SLED for the Viral Hemorrhagic Fever (VHF) database and the laboratory testing dataset by calculating Whipple´s index and Myers´s blended index, stratified by sex and region.
  
  Results
  
  Age data quality was low in both the VHF database (Whipple´s index for the 5-year range, 229.2) and the laboratory testing dataset (Whipple´s index for the 5-year range, 236.4). Age was reported more accurately in the Western Area and least accurately in the Eastern Province. Age data for females were less accurate than for males.
  
  Conclusion
  
  Age data quality was low in adult patients during the 2014-2016 Ebola outbreak in Sierra Leone, which may reduce its use as an identifying or stratifying variable. These findings inform future analyses using this database and describe a phenomenon that has relevance in data collection methods and analyses for future outbreaks in developing countries.
  
  
• Subjects:
  Adult Aged Age Distribution Databases, Factua Disease Outbreaks Female Hemorrhagic Fever, Ebola Humans Male Middle Aged Sex Factors Young Adult

  More +
• Source:
  Pan Afr Med J. 2020; 35
• Pubmed ID:
  32637002
• Pubmed Central ID:
  PMC7321682
• Document Type:
  Journal Article
• Place as Subject:
  Sierra Leone
• Volume:
  35
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:a270aa3b8c59c2b07ca7ee345b9af666463659da3d54ce5597861912f4b20d1f
• Download URL:
  https://stacks.cdc.gov/view/cdc/92513/cdc_92513_DS1.pdf
• File Type:
  [PDF - 324.67 KB ]