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Measles reporting completeness during a community-wide epidemic in inner-city Los Angeles

D P Ewert1, S Westman, P D Frederick

  • 1Communicable Disease Control Unit, Los Angeles County Department of Health Services.

Insights

Measles cases in preschool children were significantly underreported, especially by private doctors. This study highlights the need for better measles surveillance in high-incidence areas.

Area of Science:

  • Epidemiology
  • Public Health
  • Infectious Diseases

Background:

  • Measles is a highly contagious and preventable disease.
  • Accurate reporting is crucial for effective disease surveillance and control.
  • Underreporting of measles cases can lead to biased estimates of disease severity and incidence.

Purpose of the Study:

  • To determine the extent of measles underreporting among preschool-age children in inner-city Los Angeles.
  • To compare the reporting rates of probable measles cases identified through community surveys with those reported to health authorities.
  • To identify potential sources of reporting bias, particularly concerning healthcare providers.

Main Methods:

  • Two community surveys were conducted in Los Angeles during 1990-1991.
  • Respondents provided information on measles episodes in preschool-age children.
  • Probable measles cases were defined and matched with health department records; medical records were reviewed when available.

Main Results:

  • Of 35 probable measles cases in children (6 weeks-59 months), only 10 (29%) were reported to the health department.
  • Hospitals reported 69% of evaluated cases, while private physicians reported 0% of evaluated cases.
  • Reporting was higher for recent cases (1990-1991, 33%) compared to earlier cases (1987-1989, 18%).

Conclusions:

  • Measles cases among preschool-age children in this high-incidence area were substantially underreported.
  • Private physicians played a significant role in the underreporting of measles cases.
  • Reported measles cases may represent more severe instances, leading to biased surveillance data.

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