Evidence map›Paper›PMID 34886437›Full record

ArticleInternational journal of environmental research and public health2021

The Disproportionate Impact of COVID-19 among Undocumented Immigrants and Racial Minorities in the US.

Mohammad Tawhidul Hasan Bhuiyan, Irtesam Mahmud Khan, Sheikh Saifur Rahman Jony, Renee Robinson, Uyen-Sa D T Nguyen, David Keellings, M Sohel Rahman, Ubydul Haque

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Migrant Men Living in Brazil during the Pandemic: A Qualitative Study.International journal of environmental research and public health · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Psychosocial and Sociodemographic Determinants Related to Chronic Diseases in Immigrants Residing in Spain.International journal of environmental research and public health · 2022
    Article
  15. Social Media Use and Mental Health: A Global Analysis.Epidemiologia (Basel, Switzerland) · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Observational
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

8 authors.

Mohammad Tawhidul Hasan BhuiyanDepartment of Computer Science & Engineering, Bangladesh University of Engineering & Technology, West Palasi, Dhaka 1205, Bangladesh.
Irtesam Mahmud KhanDepartment of Computer Science and Engineering, United International University, Dhaka 1212, Bangladesh.ORCID 0000-0002-0170-518X
Sheikh Saifur Rahman JonyDepartment of Computer Science & Engineering, Bangladesh University of Engineering & Technology, West Palasi, Dhaka 1205, Bangladesh.ORCID 0000-0001-6141-8644
Renee RobinsonDepartment of Pharmacy Practice and Administration, University of Alaska Anchorage/Idaho State University, Anchorage, AK 99508, USA.
Uyen-Sa D T NguyenDepartment of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX 76177, USA.
David KeellingsDepartment of Geography, University of Florida, Gainesville, FL 32611, USA.
M Sohel RahmanDepartment of Computer Science & Engineering, Bangladesh University of Engineering & Technology, West Palasi, Dhaka 1205, Bangladesh.ORCID 0000-0001-9419-6478
Ubydul HaqueDepartment of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX 76177, USA.ORCID 0000-0002-7413-1017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for coronavirus disease 2019 (COVID-19), has had an unprecedented effect, especially among under-resourced minority communities. Surveillance of those at high risk is critical for preventing and controlling the pandemic. We must better understand the relationships between COVID-19-related cases or deaths and characteristics in our most vulnerable population that put them at risk to target COVID-19 prevention and management efforts. Population characteristics strongly related to United States (US) county-level data on COVID-19 cases and deaths during all stages of the pandemic were identified from the onset of the epidemic and included county-level socio-demographic and comorbidities data, as well as daily meteorological modeled observation data from the North American Regional Reanalysis (NARR), and the NARR high spatial resolution model to assess the environment. Advanced machine learning (ML) approaches were used to identify outbreaks (geographic clusters of COVID-19) and included spatiotemporal risk factors and COVID-19 vaccination efforts, especially among vulnerable and underserved communities. COVID-19 outcomes were found to be negatively associated with the number of people vaccinated and positively associated with age, the prevalence of cardiovascular disease, diabetes, and the minority population. There was also a strong positive correlation between unauthorized immigrants and the prevalence of COVID-19 cases and deaths. Meteorological variables were also investigated, but correlations with COVID-19 were relatively weak. Our findings suggest that COVID-19 has had a disproportionate impact across the US population among vulnerable and minority communities. Findings also emphasize the importance of vaccinations and tailored public health initiatives (e.g., mask mandates, vaccination) to reduce the spread of COVID-19 and the number of COVID-19 related deaths across all populations.

Indexed as

COVID-19Undocumented ImmigrantsCOVID-19 VaccinesEthnic and Racial MinoritiesHumansSARS-CoV-2United StatesCOVID-19 VaccinesCOVID-19environmentunauthorizedUSAvaccine

Identifiers

PMID34886437
PMCPMC8656825

What OpenQuestion holds

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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.