Leveraging multiple data types to estimate the size of the zika epidemic in the Americas

Sean M. Moore, Rachel J. Oidtman, K. James Soda, Amir S. Siraj, Robert C. Reiner, Christopher M. Barker, T. Alex Perkins

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Several hundred thousand Zika cases have been reported across the Americas since 2015. Incidence of infection was likely much higher, however, due to a high frequency of asymp-tomatic infection and other challenges that surveillance systems faced. Using a hierarchical Bayesian model with empirically-informed priors, we leveraged multiple types of Zika case data from 15 countries to estimate subnational reporting probabilities and infection attack rates (IARs). Zika IAR estimates ranged from 0.084 (95% CrI: 0.067–0.096) in Peru to 0.361 (95% CrI: 0.214–0.514) in Ecuador, with significant subnational variability in every country. Totaling infection estimates across these and 33 other countries and territories, our results suggest that 132.3 million (95% CrI: 111.3-170.2 million) people in the Americas had been infected by the end of 2018. These estimates represent the most extensive attempt to deter-mine the size of the Zika epidemic in the Americas, offering a baseline for assessing the risk of future Zika epidemics in this region.

Original languageEnglish (US)
Article numbere0008640
Pages (from-to)1-25
Number of pages25
JournalPLoS neglected tropical diseases
Issue number9
StatePublished - Sep 2020

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Infectious Diseases


Dive into the research topics of 'Leveraging multiple data types to estimate the size of the zika epidemic in the Americas'. Together they form a unique fingerprint.

Cite this