Evidence map›Paper›PMID 39253628›Full record

ArticleSSM - population health2024

The effect of the COVID-19 pandemic on immigration and immigrant wellbeing in the United States.

Sascha Krannich, Douglas S Massey

Abstract read
In one paragraph

Article in SSM - population health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Effects of the COVID-19 Pandemic on Tuberculosis Outcomes in the United States: A Bayesian Analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  4. Article
  5. 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

2 authors.

Sascha KrannichInstitute for History, Theory and Ethics of Medicine, Giessen University, Leihgesterner Weg 52, 35392, Gießen, Germany.
Douglas S MasseySociology and Public Affairs, Princeton University, 239 Wallace Hall, 08544, Princeton, NJ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article highlights the effect of the COVID-19 pandemic on immigration. and immigrant wellbeing in the United States by focusing on all categories of migrants, documented and undocumented. We argue that in the wake of the pandemic, immigrants disproportionately experienced higher rates of unemployment, greater losses of income, more exposure occupational risks, and higher rates of food and housing insecurity, all of which exacerbated preexisting differentials in access to health and health care to generate higher rates of COVID infection, morbidity, and mortality among adults and stunted educational outcomes for their children. The prospects for a full post-pandemic recovery of immigrants' wellbeing are dampened by the severe nature of COVID's negative effects on immigrants; the unusually hostile context of reception immigrants face after the pandemic; the large number of immigrants lacking legal status or holding tenuous documentation; and the formidable deportation regime that prevails in the United States that puts a great strain on immigrant communities. Undocumented migration has surged to restart undocumented population growth, further clouding the future for immigrants in the country. It is unclear whether reforms proposed by the Biden Administration be enacted and successful in improving their prospects. In general, this article aims to contribute to the broader discussion about migration and health policies.

Indexed as

COVID-19HealthImmigrant wellbeingImmigrationUnited States

Identifiers

PMID39253628
PMCPMC11382114

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.