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Caitlin Rivers

Biographic Data

ID4976018
NAMECaitlin Rivers
GIVEN NAMESCaitlin
FAMILY NAMERivers
SIGNATURERIVERS C
AFFILIATIONSAmanda L. Kobokovich, Divya Hosangadi, and Caitlin Rivers are with the Johns Hopkins Center for Health Security, Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
ORCID0000-0001-8265-0629
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Impact, use, and implications of artificial intelligence in public health decision making by elected officials

    Open Access•Elizabeth A Campbell, E J M Campbell et al.•ARTICLE•Frontiers in Public Health•2026

    Introduction: Artificial intelligence (AI) offers considerable promise for strengthening governmental public health decision making by supporting rapid, comprehensive analysis of complex data. Although AI applications have been widely examined in clinical and academic settings, their use in public health agencies and policymaking remains less well understood. Methods: This scoping review assessed how AI has been applied to support decision making…

  • Supporting Social Distancing for Covid-19 Mitigation Through Community-Based Volunteer Networks

    Amanda L Kobokovich, Amanda Kobokovich et al.•ARTICLE•American Journal of Public Health•2020•Cited by: 1•References: 6

  • Supporting Social Distancing for Covid-19 Mitigation Through Community-Based Volunteer Networks

    Amanda L Kobokovich, Amanda Kobokovich et al.•ARTICLE•American Journal of Public Health•2020•Cited by: 1•References: 6

  • Supporting Social Distancing for Covid-19 Mitigation Through Community-Based Volunteer Networks

    Amanda L Kobokovich, Amanda Kobokovich et al.•ARTICLE•American Journal of Public Health•2020•Cited by: 1•References: 6

  • Impact, use, and implications of artificial intelligence in public health decision making by elected officials

    Open Access•Elizabeth A Campbell, E J M Campbell et al.•ARTICLE•Frontiers in Public Health•2026

    Introduction: Artificial intelligence (AI) offers considerable promise for strengthening governmental public health decision making by supporting rapid, comprehensive analysis of complex data. Although AI applications have been widely examined in clinical and academic settings, their use in public health agencies and policymaking remains less well understood. Methods: This scoping review assessed how AI has been applied to support decision making…

2019-20 coronavirus outbreak (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Betacoronavirus (1 work) · Coronavirus disease 2019 (COVID-19) (1 work) · Coronavirus Infections (1 work) · COVID-19 Digital Contact Tracing (1 work) · COVID-19 epidemiological studies (1 work) · Disaster Management and Resilience (1 work) · Distancing (1 work) · Empirical research (1 work)

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