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Record W4390401570 · doi:10.1016/j.lansea.2023.100344

Protection of staff and families during COVID-19 pandemic: experience from a research institute in Bangladesh

2023· article· en· W4390401570 on OpenAlexfundno aff
Sharika Nuzhat, Faisal Abdullah, Md Ridwan Islam, Baharul Alam, Azharul Islam Khan, Mohammod Jobayer Chisti, Tahmeed Ahmed

Bibliographic record

VenueThe Lancet Regional Health - Southeast Asia · 2023
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
FundersGlobal Affairs CanadaDepartment for International DevelopmentNational Institutes of HealthDepartment for International Development, UK GovernmentInternational Centre for Diarrhoeal Disease Research, BangladeshStyrelsen för Internationellt Utvecklingssamarbete
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Isolation (microbiology)MedicineDiarrhoeal disease2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Medical emergencyIntensive care unitFamily medicineEmergency medicinePediatricsDiseaseIntensive care medicineVirologyInfectious disease (medical specialty)DiarrheaInternal medicineOutbreak

Abstract

fetched live from OpenAlex

International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), which contains the world's largest diarrheal disease hospital, established a service centre, including testing facilities, isolation unit, out-patient department, in-patient ward, and intensive care unit during COVID-19 pandemic. When the management of COVID-19 was challenging nationwide, icddr,b established this facility with the goal to provide COVID-related services to the staff and their relatives amidst the pandemic. Data related to this analysis were collected from April 2020 to December 2021. 1399 patients received treatment under this facility. Among them, 351 patients were treated at the out-patient facility, 98 at the isolation, and 197 at the in-patient ward. Among the admitted patients, survival was 86.29% (n = 170/197). Among the suspected patients, 17% (n = 103/606) were COVID-positive. Setting up an immediate COVID-19 management facility during the pandemic was challenging. It can be an example of how an organisation can adapt to any emergency and act accordingly.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.388
GPT teacher head0.503
Teacher spread0.114 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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