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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Global Health and Education Projects, Inc
2020
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Materias: | |
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 |
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author | Ikedionwu, Chioma A Dongarwar, Deepa Yusuf, Korede K. Maiyegun, Sitratullah O. Ibrahimi, Sahra Salihu, Hamisu M. |
author_facet | Ikedionwu, Chioma A Dongarwar, Deepa Yusuf, Korede K. Maiyegun, Sitratullah O. Ibrahimi, Sahra Salihu, Hamisu M. |
author_sort | Ikedionwu, Chioma A |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7520884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Global Health and Education Projects, Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-75208842020-10-01 Using Nominal Group Technique to Elucidate a COVID-19 Research Agenda for Maternal and Child Health (MCH) Populations Ikedionwu, Chioma A Dongarwar, Deepa Yusuf, Korede K. Maiyegun, Sitratullah O. Ibrahimi, Sahra Salihu, Hamisu M. Int J MCH AIDS Short Research Communication | Covid Mch Research Agenda 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. Global Health and Education Projects, Inc 2020 2020-09-15 /pmc/articles/PMC7520884/ /pubmed/33014627 http://dx.doi.org/10.21106/ijma.410 Text en Copyright © 2020 Ikedionwu et al. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Short Research Communication | Covid Mch Research Agenda Ikedionwu, Chioma A Dongarwar, Deepa Yusuf, Korede K. Maiyegun, Sitratullah O. Ibrahimi, Sahra Salihu, Hamisu M. Using Nominal Group Technique to Elucidate a COVID-19 Research Agenda for Maternal and Child Health (MCH) Populations |
title | Using Nominal Group Technique to Elucidate a COVID-19 Research Agenda for Maternal and Child Health (MCH) Populations |
title_full | Using Nominal Group Technique to Elucidate a COVID-19 Research Agenda for Maternal and Child Health (MCH) Populations |
title_fullStr | Using Nominal Group Technique to Elucidate a COVID-19 Research Agenda for Maternal and Child Health (MCH) Populations |
title_full_unstemmed | Using Nominal Group Technique to Elucidate a COVID-19 Research Agenda for Maternal and Child Health (MCH) Populations |
title_short | Using Nominal Group Technique to Elucidate a COVID-19 Research Agenda for Maternal and Child Health (MCH) Populations |
title_sort | using nominal group technique to elucidate a covid-19 research agenda for maternal and child health (mch) populations |
topic | Short Research Communication | Covid Mch Research Agenda |
url | 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 |
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