A Preparedness Model for Mother-Baby Linked Longitudinal Surveillance for Emerging Threats.
Kate E RussellMegan R ReynoldsVeronica BurkelCymone GatesValorie EckertCatherine McDermottJerusha BartonAmanda WilburnUmme-Aiman HalaiCatherine M BrownAngelica BocourNicole LongcoreLauren OrkisCamille Delgado LopezLindsey SizemoreEsther M EllisSarah SchillieNeil GuptaVirginia B BowenElizabeth TorroneSascha R EllingtonAugustina DelaneySamantha M OlsonNicole M RothFlorence WhitehillLaura D ZambranoDana Meaney-DelmanS Nicole FehrenbachMargaret A HoneinVan T TongSuzanne M GilboaPublished in: Maternal and child health journal (2021)
SET-NET provides a population-based mother-baby linked longitudinal surveillance approach and has already demonstrated rapid adaptation to COVID-19. This innovative approach leverages existing data sources and rapidly collects data and informs clinical guidance and practice. These data can help to reduce exposure risk and adverse outcomes among pregnant women and their infants, direct public health action, and strengthen public health systems.