Evidence map›Paper›PMID 35999900›Full record

ArticleEarly childhood research quarterly

Impacts of the COVID-19 pandemic on the child care sector: Evidence from North Carolina.

Qing Zhang, Maria Sauval, Jade Marcus Jenkins

Abstract read
In one paragraph

Article in Early childhood research quarterly. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. The current state and future direction of childcare for cancer patients: a narrative review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Review
  2. Article
  3. Early care and education after COVID-19: A perspective.Contemporary issues in early childhood · 2023
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Qing ZhangSchool of Education, University of California, Irvine, Irvine, CA, 92697, United States.
Maria SauvalSchool of Education, University of California, Irvine, Irvine, CA, 92697, United States.
Jade Marcus JenkinsSchool of Education, University of California, Irvine, Irvine, CA, 92697, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study provides a comprehensive, census-level evaluation of the impacts of the COVID-19 pandemic on the county child care market in a large and diverse state, North Carolina, and the disproportionate impacts of the pandemic on different types of providers and communities. We use county-level panel data from 2016 to 2020 and a difference-in-differences design to isolate the effects of the pandemic from unobservable seasonal trends in enrollments and closures. We found that the COVID-19 pandemic reduced county-level child care enrollment by 40% and the number of providers by 2% as of December 2020. Heterogeneity analyses revealed that the family child care sector experienced not only less severe reductions in enrollment and closure than center providers, but also a small growth in the number of family providers. Declines in enrollment were most substantial for preschool-aged children. There was a significant drop in the number of 5-star providers and an increase in the number of lower-quality providers. Provider closures were more concentrated in communities with a higher percentage of Hispanic residents. Higher-SES communities experienced larger drops in enrollment as well as provider closures. Implications for child development and future research and policies are discussed.

Indexed as

Child careChild care inequitiesChild care supply and demandCovid-19

Identifiers

PMID35999900
PMCPMC9389921

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.