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Record W3117616259 · doi:10.21203/rs.3.rs-137978/v1

Factors that Influence the Duration of Symptom Resolution in COVID-19 Patients in Ethiopia: A Follow up Study Involving 60 Symptomatic Cases.

2021· preprint· en· W3117616259 on OpenAlexaff
Saro Abdella Abrahim, Masresha Tesema, Eshetu Ejeta, Mahammed Ahmed, Atkure Defar, Alemayehu Hussen, Getachew Demoz, Eskinder Degu, Mulugeta Aseratie, Belay Merga, Enatenesh Dillnessa, Susan J. Whiting, Tegene Regassa, Derege Duguma

Bibliographic record

VenueResearch Square (Research Square) · 2021
Typepreprint
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineCoronavirus disease 2019 (COVID-19)Proportional hazards modelHazard ratioBody mass indexCohortPediatricsCohort studyInternal medicineConfidence intervalDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Abstract Background: The newly identified virus, Severe Acute Respiratory Syndrome Corona Virus-two (SARS-CoV-2) has claimed more than a million lives worldwide since it was first recognized in Wuhan, China in December 2019. Understanding the clinical features of COVID-19 and duration for resolution of symptoms is crucial for isolation of patients and tailoring public health messaging, interventions, and policy. Therefore, this study aims to assess the median duration of COVID-19 signs and symptoms resolution and explore it’s predictors among symptomatic COVID-19 patients in Ethiopia Methods: A hospital-based prospective cohort study involving 60 COVID-19 cases was conducted at Eka Kotebe General Hospital, COVID-19 Isolation and Treatment Center. The study participants were all symptomatic COVID-19 adult patients admitted to the hospital from March 18 to June 27, 2020. Physicians at the center recorded the data using a log sheet. Cox proportional-hazards regression model was conducted. Statistical significance was defined at P<0.05. All analyses were done using STATA version 16.1 software. Results: A total of 60 symptomatic COVID-19 patients with a mean age of 34.8 years ( + 1.8) were involved in the study. The median duration of symptom resolution of COVID-19 was seven days with a minimum of two and a maximum of 68 days. Sex and Body Mass Index (BMI) were statistically significant predictors of the symptom resolution. The hazard of having delayed sign or symptom resolution in males was 55% higher than in females (P=0.039, CI: 0.22 to 0.96) and the hazard of the delayed sign or symptom in those with BMI ≥25 was 48% higher than in those with BMI <25 (P=0.051; CI: 0.272 to 1.003). In this study, age and comorbidity had no association with the duration of sign or symptom resolution in COVID-19 patients. Conclusions: The median duration of COVID-19 symptom resolution was seven days. Being male or having a BMI ≥ 25 were predictors for having a delayed sign or symptom resolution time. Therefore, understanding the duration of COVID-19 sign or symptom resolution helps to guide the patient isolation period and prioritize COVID-19 patients to be shielded.

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)0.032
metaresearch head score (Gemma)0.140
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0320.140
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.005
Research integrity0.0010.011
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 head0.122
GPT teacher head0.445
Teacher spread0.323 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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