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Record W4212765522 · doi:10.1089/aid.2021.0186

Short Communication: Ongoing Impact of the Social Determinants of Health During the Second and Third Waves of the COVID-19 Pandemic in People Living with HIV Receiving Care in a Montreal-Based Tertiary Care Center

2022· article· en· W4212765522 on OpenAlexafffundabout

Bibliographic record

VenueAIDS Research and Human Retroviruses · 2022
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsRoyal Victoria HospitalMcGill University Health Centre
FundersCanadian Institutes of Health Research
KeywordsPandemicDiseaseCoronavirusHealth careTertiary careRetrospective cohort studyHuman immunodeficiency virus (HIV)Social determinants of health

Abstract

fetched live from OpenAlex

We performed retrospective chart reviews and described the clinical characteristics, exposure risks, and disease severity of people living with HIV (PLWH) attending the Chronic Viral Illness Service (CVIS) in Montreal, Canada, who developed coronavirus disease 2019 (COVID-19) during September 2020-August 2021, coinciding with the second and third waves of the pandemic. A total of 61 PLWH with a positive COVID-19 polymerase chain reaction were identified, giving a COVID-19 prevalence of 5%. The most common exposure risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during waves two and three was having a family member/close contact with COVID-19 (36%). Similar to what we observed during the first wave, PLWH who acquired COVID-19 during waves two and three of the pandemic often worked or lived in long-term care residences or health care settings, putting them at risk. Five people (8%) were asymptomatic. Nearly all persons had mild disease on initial presentation and most had a full recovery. Two individuals were admitted to hospital with COVID-19, whereas three individuals acquired COVID-19 nosocomially. No individuals died due to COVID-19. Two individuals developed symptoms associated with long COVID-19 syndrome. Findings highlight the ongoing impact of the social determinants of health during the second and third waves of the pandemic in PLWH.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.388
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2022
Admission routes3
Has abstractyes

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