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CoViD-19 effects on social-emotional development: impact of early intervention



Michelle Rodriguez-Monge1, Isabela Iglesias-Peńa& Francesco Chiappelli3,4*



1Costa Rican Institute of Clinical Research, San José, Costa Rica; Stars Therapy Services, San Diego, CA 91913, 2Boston Childrens Martha Eliot - Early Intervention Program, Boston Children's Hospital, Boston, MA 02130, 3Dental Group of Sherman Oaks, CA 91403, USA (www.oliviacajulisdds.com), 4Center for the Health Sciences, UCLA, Los Angeles, CA; 90095, *Corresponding author



Michelle Rodriguez-Monge - E-mail: michirodriguez00@gmail.com

Isabela Iglesias-Peńa- E-mail: isaiglesias23@gmail.com

Francesco Chiappelli- E-mail: Chiappelli.research@gmail.com


Article Type




Received September 1, 2023; Revised September 30, 2023; Accepted September 30, 2023, Published September 30, 2023



Age-appropriate development of social and emotional skills is challenging to a child under standard conditions. The CoVID-19 pandemic has likely influenced the development of social, emotional, and communicative skills. Factors like prolonged lockdowns, restricted peer interactions, and mandatory mask-wearing may have hindered children's ability to learn facial expressions and nonverbal cues. The research evidence discussed in this paper confirms that proposition, and examines in further depth the potential impact of the CoViD-19 pandemic. We also discuss groundwork evidence-based early intervention (EI) practices designed to mitigate the negative effects these unprecedented circumstances may have led to, and how tele-medicine alternatives and Artificial intelligence (AI) can expedite interventional childhood plans. The role of bioinformatics is vital in the compilation and analysis of the vast research in this piece related to CoViD-19, serving as a profound search tool for future research endeavors focused on understanding the long term effects of the pandemic.



CoViD-19, Social and emotional development, Early Intervention (EI), Artificial Intelligence (AI), Critical Age hypothesis



Rodriguez-Monge et al. Bioinformation 19(9): 889-892 (2023)

Edited by

P Kangueane






Biomedical Informatics



This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.