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Record W4387326273 · doi:10.1177/00469580231202988

Diarrhea as a Disease of Poverty Among Under-Five Children in Sub-Saharan Africa: A Cross-Sectional Study

2023· review· en· W4387326273 on OpenAlex
Zhifei He, Ghose Bishwajit, Zhaohui Cheng

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
GenreReview

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".

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueINQUIRY The Journal of Health Care Organization Provision and Financing · 2023
Typereview
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsUniversity of Ottawa
FundersNational Social Science Fund of ChinaSouthwest UniversityChongqing Municipal Education Commission FoundationUniversity of Ottawa
KeywordsDiarrheaMedicineRelative riskDemographyCross-sectional studyPediatricsEnvironmental healthConfidence intervalInternal medicine

Abstract

fetched live from OpenAlex

The objective of this study was to assess the prevalence of diarrhea among under-five children in low-middle-income countries and identify the sociodemographic factors associated with it. Data of 36 countries in sub-Saharan Africa from demographic and Health Surveys (2006-2018) comprising 251 341 mother-child (singleton) dyads were analyzed to estimate the prevalence and various modifiable and non-modifiable risk factors of diarrhea. Occurrence of diarrhea during the last 2 weeks was the outcome variable which was measured by mothers' observation of the condition. The overall prevalence of having diarrhea during last 2 weeks was 18.44% (19.12% among boys and 17.75% among girls). Boys had higher percentage of having diarrhea than girls in all countries except in Libya. The risk ratios of having diarrhea decreased progressively with higher wealth quintiles; the risks of were respectively 7% [RR = 0.93, 95% CI = 0.91; 0.97], 11% [RR = 0.89, 95% CI = 0.86; 0.92] and 18% [RR = 0.82, 95% CI = 0.78; 0.85] lower for households in the middle, richer and richest households. Rural residency was associated with lower risks [RR = 0.95, 95% CI = 0.93; 0.98] and not having access to improved water [RR = 1.05, 95% CI = 1.03; 1.08] and toilet facilities [RR = 0.04, 95% CI = 1.01; 1.07] were associated with higher risks of diarrhea. Regarding children's characteristics, higher age groups, birth order were associated with higher risks and female sex with lower risks. Children with mothers in the higher age groups and with above secondary level education had lower risks, and primary education had higher risks of diarrhea. Meta-analysis of 36 countries revealed a significantly negative association between wealth quintile and diarrhea (Odds ratio = 0.72, 95% CI = 0.69; 0.74). Findings indicate the presence of a significant wealth gradient in the burden of diarrheal diseases among under-five children in sub-Saharan Africa, and underscores the need for paying special attention to the marginalized communities when designing intervention programs.

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: Review · Consensus signal: Review
Teacher disagreement score0.314
Threshold uncertainty score0.929

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.042
GPT teacher head0.357
Teacher spread0.315 · 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