MétaCan
Menu
← Back to cohort
Record W3105586247 · doi:10.1101/2020.11.09.20228205

Symptoms suggestive of COVID-19 in households with and without children: a descriptive survey

2020· preprint· en· W3105586247 on OpenAlexaboutno aff
Grace Grove, Nida Ziauddeen, Nisreen A Alwan

Bibliographic record

VenuemedRxiv · 2020
Typepreprint
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRespondentPediatricsCoronavirus disease 2019 (COVID-19)Quarter (Canadian coin)Young adultDemographyDiseaseGerontologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Exploring transmission and symptoms of COVID-19 in children is vital, given that schools have recently fully reopened. Objectives This study aimed to characterise the nature and duration of symptoms suggestive of COVID-19 in UK households, and examine whether the symptoms varied between households with and without children and between adults and children from March to May 2020 in the UK. Methods An online questionnaire posted on social media (Mumsnet, Twitter, Facebook) was used to gather demographic and symptom information within UK households. Results Results from 508 households (1057 adults and 398 children) were available for analysis. 64.1% of respondent households with children and 59.1% of households without children had adults with symptoms suggestive of COVID-19. The proportion of adults that reported being symptomatic was 46.1% in households with children (and 36.7% in households without children. In 37.8% of households with at least one adult and one child with symptoms, the child’s onset of symptoms started before the adult. Of all children, 35.7% experienced symptoms, with almost a quarter experiencing fluctuating symptoms for more than 2 weeks compared to almost half of symptomatic adults. In general, children had a shorter (median 5 days) and milder illness course than adults (median 10 days). Fatigue was the most common symptom in adults (79.7%) and cough was the most common symptom in children (53.5%). Chest tightness, shortness of breath, fatigue, muscle ache and diarrhoea were more common in adults than children, while cough and fever were equally common. Conclusion Children had shorter and milder illness than adults, but in almost a quarter of children symptoms lasted more than 2 weeks. In over a third of both adult-child symptomatic households, the child was the first to become ill. Child to adult transmission and clinical presentation in children need to be further characterised. Synopsis Study question. What is the nature and duration of symptoms suggestive of COVID-19 in UK households with and without children during March and May 2020? Do the symptoms vary between adults and children? What’s already known. There has been uncertainty about the extent to which children get and transmit SARS-CoV-2 within households. Symptoms associated with SARS-CoV-2 infection are well described in adults but symptoms and their duration are less well-characterised in children. What this study adds On average, children had shorter and milder illness than adults, but still symptoms lasted more than 2 weeks in a significant proportion of children. In over a third of both adult and child symptomatic households, the child was the first to become ill.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.101
GPT teacher head0.382
Teacher spread0.281 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venuemedRxiv→Same topicCOVID-19 and Mental Health→French-language works237,207→