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Cited by 1,411

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

COVID-19, school closures, and child poverty: a social crisis in the making

Open access
Van Lancker, Wim, Parolin, Zachary·2020·The Lancet Public Health

Abstract

While coronavirus disease 2019 (COVID-19) continues to spread across the globe, many countries have decided to close schools as part of a physical distancing policy to slow transmission and ease the burden on health systems. The UN Educational, Scientific and Cultural Organization estimates that 138 countries have closed schools nationwide, and several other countries have implemented regional or local closures. These school closures are affecting the education of 80% of children worldwide. Although scientific debate is ongoing with regard to the effectiveness of school closures on virus transmission,1 the fact that schools are closed for a long period of time could have detrimental social and health consequences for children living in poverty, and are likely to exacerbate existing inequalities.

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Crossref · 10.1016/s2468-2667(20)30084-0

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Metadata

Authors
Van Lancker, W., & Parolin, Z.
Venue
The Lancet Public Health
Publisher
Elsevier BV
Published
2020-05
Volume
5
Issue
5
Pages
e243-e244
ISSN
2468-2667 (ISSN-L)
OpenAlex
W3014463639
Cited by
1,411
References
4
FWCI
387.28
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: COVID-19, school closures, and child poverty: a social crisis in the making. https://app.cochat.ai/papers/10.1016/s2468-2667(20)30084-0
The paper
Van Lancker, W., & Parolin, Z. (2020). COVID-19, school closures, and child poverty: a social crisis in the making. The Lancet Public Health. https://doi.org/10.1016/s2468-2667(20)30084-0

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.