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Heterogeneity of Zika virus exposure and outcome ascertainment across cohorts of pregnant women, their infants and their children: a metadata survey.

Mabel CarabaliLauren MaxwellBrooke LevisPriya Shreedharnull null
Published in: BMJ open (2022)
This work highlights the logistic and statistical challenges that must be addressed to account for the multiple sources of within-study and between-study heterogeneity when conducting IPD-MAs of data collected in the research response to emergent pathogens like ZIKV.
Keyphrases
  • zika virus
  • pregnant women
  • single cell
  • dengue virus
  • young adults
  • machine learning
  • drinking water
  • big data
  • artificial intelligence
  • deep learning