Evidence map›Paper›PMID 36536835›Full record

ArticleApplied geography (Sevenoaks, England)2021

Why the Navajo Nation was hit so hard by coronavirus: Understanding the disproportionate impact of the COVID-19 pandemic.

Haoying Wang

Open access · greenAbstract read
In one paragraph

Article in Applied geography (Sevenoaks, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
8.3field-weighted citation impact, top 3% of its field
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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Diné (Navajo) Traditional Knowledge Holders' Perspective of COVID-19.International journal of environmental research and public health · 2023
    Article
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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

1 author at 1 institution in 1 country.

Haoying WangDepartment of Business and Technology Management, New Mexico Tech, 801 Leroy Pl, Socorro, NM, 87801, USA.
New Mexico Institute of Mining and Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 (SARS-CoV-2) pandemic of 2019-2020 has incurred astonishing social and economic costs in the United States (US) and worldwide. Native American reservations, representing a unique geography, have been hit much harder than other parts of the country. This study seeks to understand the reasons for the disproportionate impact of the pandemic on Native American communities by focusing on the Navajo Nation - the largest Native American reservation in the US. I first reviewed the historical pandemics experienced by Native Americans. Guided by the literature review, an institutional analysis focusing on the Navajo Nation suggests a lack of both institutional resilience and healthcare preparation. The analysis further identified four factors that could help explain the Navajo's slow response to the COVID-19 pandemic: prevalence of underlying chronic health conditions, lack of institutional resilience, the relationship between the federal government and tribal governments, and lack of social trust. Relevant policy implications are discussed. For instance, to better prepare Native American communities for shocking events like the COVID-19 pandemic in the future, policymaking should integrate informal institutions to build efficient formal institutions for self-governance. Promoting public health education and establishing collaborations between Native and non-Native communities are also necessary long-run strategies.

Indexed as

CoronavirusCOVID-19 pandemicFormal institutionsInformal institutionsNavajo nationResilience

Identifiers

PMID36536835
PMCPMC9753121
OpenAlexW3189548734

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.