Evidence map›Paper›PMID 40191069›Full record

ArticleInternational migration (Geneva, Switzerland)2025

The impact of the COVID-19 pandemic on network dynamics among Chinese immigrants in the United States.

Ted Mouw, M Giovanna Merli, Yingzhi Xu, Claire Le Barbenchon, Allison Stolte

Abstract read
In one paragraph

Article in International migration (Geneva, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ted MouwDepartment of Sociology and Carolina Population Center, University of North Carolina, Chapel Hill.
M Giovanna MerliSanford School of Public Policy and Duke Population Research Institute, Duke University.
Yingzhi XuSanford School of Public Policy and Duke Population Research Institute, Duke University.
Claire Le BarbenchonSanford School of Public Policy and Duke Population Research Institute, Duke University.
Allison StolteDepartment of Sociology and Duke Population Research Institute, Duke University.

Funding

Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI Giovanna M Merli · 2015 to 2026
$5.7M
Duke Population Research InstituteR24HD065563 · NICHD · DUKE UNIVERSITY · PI SANDERS, SETH G · 2010 to 2014
$1.4M
Testing Multiple Modes of Data Collection with Network Sampling with MemoryR21HD086738 · NICHD · DUKE UNIVERSITY · PI MERLI, GIOVANNA M · 2016 to 2017
$435k
NICHD NIH HHS P2C HD065563NICHD NIH HHS R21 HD086738NICHD NIH HHS R24 HD065563
6 · The paper itself

Abstract

We use longitudinal data on the social networks of Chinese immigrants in the United States from 2018-2020 to study the impact of the COVID-19 pandemic on communication frequency and friendship formation. Understanding the pandemic's effect on social networks is important because, while individual social networks are always in flux (Schaefer and Marcum 2017; Sekara, Stopczynski, and Lehmann 2016), they tend to change slowly over time in periods of social stability (Wrzus et al. 2013). In contrast, the COVID-19 pandemic was a massive disturbance in the social environment, similar to the effect a natural disaster such as a hurricane on social networks, but on a much broader scale (Bertogg and Koos 2022). For Chinese immigrants in the U.S., the social disruption of the COVID-19 pandemic was magnified because, in addition to the social isolation caused by lockdowns and social distancing, there was a dramatic rise in anti-Chinese discrimination and hate crimes in the U.S. which affected migrants' sense of inclusion and collective identity in their host society (Li, English, and Kulich 2021; Stolte et al. 2022). By examining how migrant networks changed and adapted to this altered macro-level social environment, we can better understand how micro and macro level factors interact to affect network changes in general. The findings indicate that while stress during the pandemic affected the level of social network communication, the process of new tie formation to natives appears to be relatively unaffected.

Identifiers

PMID40191069
PMCPMC11967407

What Socratic holds

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Registered trials

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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 Socratic graph.