Evidence map›Paper›PMID 37286235›Full record

ReviewBMJ global health2023

Incorporating resilience when assessing pandemic risk in the Arctic: a case study of Alaska.

Sweta Tiwari, Andrey Petrov, Nino Mateshvili, Michele Devlin, Nikolay Golosov, Marya Rozanova-Smith, Mark Welford, John DeGroote, Tatiana Degai, Stanislav Ksenofontov

Abstract readReview
In one paragraph

Review in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Sweta TiwariARCTICenter, College of Social & Behavioral Sciences, University of Northern Iowa, Cedar Falls, Iowa, USA sweta.tiwari@uni.edu.ORCID 0000-0003-0287-6471
Andrey PetrovARCTICenter, University of Northern Iowa, Cedar Falls, Iowa, USA.
Nino MateshviliARCTICenter, University of Northern Iowa, Cedar Falls, Iowa, USA.
Michele DevlinCenter for Strategic Leadership, United States Army War College, Carlisle, Pennsylvania, USA.
Nikolay GolosovDepartment of Geography, Pennsylvania State University, Harrisburg, Pennsylvania, USA.ORCID 0000-0002-1738-0033
Marya Rozanova-SmithDepartment of Geography, Columbian College of Arts and Sciences, The George Washington University, Washington, District of Columbia, USA.
Mark WelfordDepartment of Geography, University of Northern Iowa, Cedar Falls, Iowa, USA.
John DeGrooteDepartment of Geography, University of Northern Iowa, Cedar Falls, Iowa, USA.
Tatiana DegaiAnthropology, University of Victoria, Victoria, British Columbia, Canada.
Stanislav KsenofontovARCTICenter, University of Northern Iowa, Cedar Falls, Iowa, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discourse on vulnerability to COVID-19 or any other pandemic is about the susceptibility to the effects of disease outbreaks. Over time, vulnerability has been assessed through various indices calculated using a confluence of societal factors. However, categorising Arctic communities, without considering their socioeconomic, cultural and demographic uniqueness, into the high and low continuum of vulnerability using universal indicators will undoubtedly result in the underestimation of the communities' capacity to withstand and recover from pandemic exposure. By recognising vulnerability and resilience as two separate but interrelated dimensions, this study reviews the Arctic communities' ability to cope with pandemic risks. In particular, we have developed a pandemic vulnerability-resilience framework for Alaska to examine the potential community-level risks of COVID-19 or future pandemics. Based on the combined assessment of the vulnerability and resilience indices, we found that not all highly vulnerable census areas and boroughs had experienced COVID-19 epidemiological outcomes with similar severity. The more resilient a census area or borough is, the lower the cumulative death per 100 000 and case fatality ratio in that area. The insight that pandemic risks are the result of the interaction between vulnerability and resilience could help public officials and concerned parties to accurately identify the populations and communities at most risk or with the greatest need, which, in turn, helps in the efficient allocation of resources and services before, during and after a pandemic. A resilience-vulnerability-focused approach described in this paper can be applied to assess the potential effect of COVID-19 and similar future health crises in remote regions or regions with large Indigenous populations in other parts of the world.

Indexed as

COVID-19AlaskaDisease OutbreaksHumansPandemicsCOVID-19EpidemiologyIndices of health and disease and standardisation of rates

Identifiers

PMID37286235
PMCPMC10254803

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.