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

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 achieve...

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Detalles Bibliográficos
Autores principales: Ikedionwu, Chioma A, Dongarwar, Deepa, Yusuf, Korede K., Maiyegun, Sitratullah O., Ibrahimi, Sahra, Salihu, Hamisu M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Global Health and Education Projects, Inc 2020
Materias:
Short Research Communication | Covid Mch Research Agenda
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520884/
https://www.ncbi.nlm.nih.gov/pubmed/33014627
http://dx.doi.org/10.21106/ijma.410
Descripción
Sumario: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.

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