Using Nominal Group Technique to Elucidate a COVID-19 Research Agenda for Maternal and Child Health (MCH) Populations

Authors

  • Chioma A Ikedionwu, MD Center of Excellence in Health Equity, Training and Research, Baylor College of Medicine, Houston, Texas, USA
  • Deepa Dongarwar, MS Center of Excellence in Health Equity, Training and Research, Baylor College of Medicine, Houston, Texas, USA; Office of the Provost, Baylor College of Medicine, Houston, Texas, USA
  • Korede K Yusuf, MBBS, MPH College of Nursing and Public Health, Adelphi University, Garden City, NY, USA
  • Sitratullah O. Maiyegun, MD Department of Pediatrics, Texas Tech University Health Sciences Center, El Paso, Texas, USA
  • Sahra Ibrahimi, MPH College of Nursing and Public Health, Adelphi University, Garden City, NY, USA
  • Hamisu M. Salihu, MD, PhD Center of Excellence in Health Equity, Training and Research, Baylor College of Medicine, Houston, Texas, USA; Department of Family and Community Medicine, Baylor College of Medicine, Houston, TX, USA

DOI:

https://doi.org/10.21106/ijma.410

Keywords:

COVID-19, Coronavirus , Pandemics , Maternal and child health, MCH , Big data, Artificial intelligence

Abstract

As the global impact of the COVID-19 pandemic continues to evolve, robust data describing its effect on maternal and child health (MCH) remains limited. The aim of this study was to elucidate an agenda for COVID-19 research with particular focus on its impact within MCH populations. This was achieved using the Nominal Group Technique through which researchers identified and ranked 12 research topics across various disciplines relating to MCH in the setting of COVID-19. Proposed research topics included vaccine development, genomics, and artificial intelligence among others. The proposed research priorities could serve as a template for a vigorous COVID-19 research agenda by the NIH and other national funding agencies in the US.

 

Copyright © 2020 Ikedionwu et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY 4.0.

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Publication History

Issue

Vol. 9 No. 3

Section

Short Research Communication

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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