In International journal of MCH and AIDS
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.
Ikedionwu Chioma A, Dongarwar Deepa, Yusuf Korede K, Maiyegun Sitratullah O, Ibrahimi Sahra, Salihu Hamisu M
Artificial intelligence, Big data, COVID-19, Coronavirus, MCH, Maternal and child health, Pandemics