Estimating dengue under-reporting in Puerto Rico using a multiplier model

Details

• Alternative Title:
  PLoS Negl Trop Dis
• Personal Author:
  Shankar, Manjunath B. ; Rodríguez-Acosta, Rosa L. ; Sharp, Tyler M. ; Tomashek, Kay M. ; Margolis, Harold S. ; Meltzer, Martin I.
• Description:
  Dengue is a mosquito-borne viral illness that causes a variety of health outcomes, from a mild acute febrile illness to potentially fatal severe dengue. Between 2005 and 2010, the annual number of suspected dengue cases reported to the Passive Dengue Surveillance System (PDSS) in Puerto Rico ranged from 2,346 in 2006 to 22,496 in 2010. Like other passive surveillance systems, PDSS is subject to under-reporting. To estimate the degree of under-reporting in Puerto Rico, we built separate inpatient and outpatient probability-based multiplier models, using data from two different surveillance systems-PDSS and the enhanced dengue surveillance system (EDSS). We adjusted reported cases to account for sensitivity of diagnostic tests, specimens with indeterminate results, and differences between PDSS and EDSS in numbers of reported dengue cases. In addition, for outpatients, we adjusted for the fact that less than 100% of medical providers submit diagnostic specimens from suspected cases. We estimated that a multiplication factor of between 5 (for 2010 data) to 9 (for 2006 data) must be used to correct for the under-reporting of the number of laboratory-positive dengue inpatients. Multiplication factors of between 21 (for 2010 data) to 115 (for 2008 data) must be used to correct for the under-reporting of laboratory-positive dengue outpatients. We also estimated that, after correcting for underreporting, the mean annual rate, for 2005-2010, of medically attended dengue in Puerto Rico to be between 2.1 (for dengue inpatients) to 7.8 (for dengue outpatients) per 1,000 population. These estimated rates compare to the reported rates of 0.4 (dengue outpatients) to 0.1 (dengue inpatients) per 1,000 population. The multipliers, while subject to limitations, will help public health officials correct for underreporting of dengue cases, and thus better evaluate the cost-and-benefits of possible interventions.
• Subjects:
  Data Interpretation, Statistical Dengue Disease Notification Humans Models, Biological Population Surveillance Public Health
• Source:
  PLoS Negl Trop Dis. 12(8).
• Pubmed ID:
  30080848
• Pubmed Central ID:
  PMC6095627
• Document Type:
  Journal Article
• Place as Subject:
  Puerto Rico
• Volume:
  12
• Issue:
  8
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:5985332cea915c5ce8db928178fb801c3f5c0dd2372d2bfd074e79e9e68b1206
• Download URL:
  https://stacks.cdc.gov/view/cdc/59271/cdc_59271_DS1.pdf
• File Type:
  [PDF - 1.38 MB ]