Title

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

Authors

Michelle Rodriguez-Monge¹, Isabela Iglesias-Peńa²  & Francesco Chiappelli^3,4*

Affiliation

¹Costa Rican Institute of Clinical Research, San José, Costa Rica; Stars Therapy Services, San Diego, CA 91913, ²Boston Children’s 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

Email

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

Editorial

Date

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.

Keywords

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

Citation

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

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

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.