Developmental impacts of the COVID-19 pandemic on young children: a conceptual model for research with integrated administrative data systems.

Autor:	Rouse HL; Department of Human Development and Family Studies, 2330 Palmer Building, 2222 Osborn Drive, Ames, Iowa 50011-1084., Shearer RJB; Department of Psychology, University of Miami, P.O. Box 248185, Coral Gables, FL 33124., Idzikowski SS; University of North Carolina at Charlotte Urban Institute, Institute for Social Capital, Sycamore Hall, 9310 Mary Alexander Road, Charlotte, NC 28223., Nelson AH; Actionable Intelligence for Social Policy (AISP), University of Pennsylvania, 3701 Locust Walk, Philadelphia, PA 19104., Needle M; Department of Psychology, University of Miami, P.O. Box 248185, Coral Gables, FL 33124., Katz MF; Actionable Intelligence for Social Policy (AISP), University of Pennsylvania, 3701 Locust Walk, Philadelphia, PA 19104., Bailey J; Department of Psychology, University of Miami, P.O. Box 248185, Coral Gables, FL 33124., Lane JT; University of North Carolina at Charlotte Urban Institute, Institute for Social Capital, Sycamore Hall, 9310 Mary Alexander Road, Charlotte, NC 28223., Berkowitz E; Actionable Intelligence for Social Policy (AISP), University of Pennsylvania, 3701 Locust Walk, Philadelphia, PA 19104., Zanti S; Actionable Intelligence for Social Policy (AISP), University of Pennsylvania, 3701 Locust Walk, Philadelphia, PA 19104., Pena A; Department of Psychology, University of Miami, P.O. Box 248185, Coral Gables, FL 33124., Reeves M; Georgia Policy Labs, Georgia State University, 14 Marietta Street NW, 5th Floor, Atlanta, GA 30303.
Jazyk:	angličtina
Zdroj:	International journal of population data science [Int J Popul Data Sci] 2021 Oct 07; Vol. 5 (4), pp. 1651. Date of Electronic Publication: 2021 Oct 07 (Print Publication: 2020).
DOI:	10.23889/ijpds.v5i4.1651
Abstrakt:	The COVID-19 pandemic made its mark on the entire world, upending economies, shifting work and education, and exposing deeply rooted inequities. A particularly vulnerable, yet less studied population includes our youngest children, ages zero to five, whose proximal and distal contexts have been exponentially affected with unknown impacts on health, education, and social-emotional well-being. Integrated administrative data systems could be important tools for understanding these impacts. This article has three aims to guide research on the impacts of COVID-19 for this critical population using integrated data systems (IDS). First, it presents a conceptual data model informed by developmental-ecological theory and epidemiological frameworks to study young children. This data model presents five developmental resilience pathways (i.e. early learning, safe and nurturing families, health, housing, and financial/employment) that include direct and indirect influencers related to COVID-19 impacts and the contexts and community supports that can affect outcomes. Second, the article outlines administrative datasets with relevant indicators that are commonly collected, could be integrated at the individual level, and include relevant linkages between children and families to facilitate research using the conceptual data model. Third, this paper provides specific considerations for research using the conceptual data model that acknowledge the highly-localised political response to COVID-19 in the US. It concludes with a call to action for the population data science community to use and expand IDS capacities to better understand the intermediate and long-term impacts of this pandemic on young children. Competing Interests: Statement on conflicts of interest: The authors declare they have no conflicts of interest. NameCredit Author StatementHeather Rouseconceptualization, methodology, investigation, writing-original draft, writing-review and editing, project administrationRebecca Bulotsky Shearerconceptualization, methodology, investigation, writing-original draft, writing-review and editing, project administrationSydney Idzikowskiconceptualization, methodology, investigation, visualisation, writing-original draft, writing-review and editing, project administrationAmy Hawn Nelsonconceptualization, methodology, investigation, visualisation, writing-original draft, writing-review and editing, project administrationMark Needleconceptualization, visualisation, writing-review and editingMatthew Katzconceptualization, investigation, writing-original draft, writing-review and editingJhonelle Baileyconceptualization, writing-original draft, writing-review and editingJustin Laneconceptualization, investigation, methodology, writing-review and editingEmily Berkowitzconceptualization, investigation, validation, writing-original draftSharon Zanticonceptualization, investigation, writing-original draft, writing-review and editingAstrid Pena Perezconceptualization, writing-original draft, writing-review and editingMaggie Reevesconceptualization, writing-original draft, writing-review and editing
Databáze:	MEDLINE
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