MétaCan
Menu
Back to cohort

Child Health Indicators in Shareq Elneel Locality, Khartoum State, Sudan: A Cross-Sectional Study

2015· article· en· W1486964131 on OpenAlexvenueno aff
Ibrahim Awad Eljack, Abdel Rahman Al-Asha Hamedel Niel

Bibliographic record

VenueInternational Journal of Child Health and Nutrition · 2015
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCross-sectional studyEnvironmental healthLocalityPathology

Abstract

fetched live from OpenAlex

Objective: To study child health status in Shareq Elneel Locality and its administrative units, Khartoum State, Sudan. Methods: A two stages cluster sampling, cross-sectional study was conducted in Shareq Elneel Locality and it is eight administrative units in Khartoum State, Sudan, in 2008. Questionnaires were collected from the caretakers of 5858 child under-5 years of age and anthropometric measurements were taken for children whose parents were consented. Results:69.4% of under 5 years children received the third dose of Poliomyelitis vaccine (Polio3) in the locality, 66.5% of under 5 years children received DPT3 vaccination in the locality, 71.9% of under 5 years children received Measles vaccination in the locality and 91.4% of the children under- 5 years in the locality had immunization card. There was evidence of a significant association between children under -5 measles vaccination and women’s highest level of school attended (P-Value= 0.04). Nearly one third of the under 5 children were moderately underweight and 16.2% them were severely underweight, More than one fifth of under 5 years children were moderately wasted, and 12% of children under -5 years old were severely wasted, 44.6% of children under -5 years of age were moderately stunted with obviously high percentage in the rural administrative units. More than one quarter of the children under- 5 years old were severely stunted and overweight prevalence of children under-5 years old in the locality was 14.6%. Only 21.4% of the children aged less than 2 years in the locality were exclusively breastfed. 27.5% of children under -5 years of age in the locality had diarrhea in the last 2 weeks preceding the survey, highest percentage found in the rural administrative units.6.5% of children under 5 years of age in the locality had fever in the last 2 weeks preceding the survey and nearly one third of under 5 years children in the locality had cough in the last 2 weeks preceding the survey. 87.9% of children targeted by vitamin A supplementation in the locality ever receive vitamin A dose. Conclusions: The study reveal pronounced variations among urban and rural administrative units in regard to many of the survey indicators. Immunization activities do not reach their target in almost all the times in the locality and there were other aspects of child health related to hygiene, poverty, malnutrition and health services like diarrhea, respiratory tract infections and malnutrition which need more consideration to be improved. Malnutrition prevalence was high. The rates of diarrhea and suspected pneumonia are somehow higher in the study area than previous studies figures. Reduce the pronounced variations among urban and rural administrative units in regard to Primary Health Care services and activities in order to improve many of the Child Health indicators in the rural areas. Use effective methods of health promotion and new attractive material of health education in the locality concerning the weak Child Health indicators.

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)0.001
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 score0.059
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.376
Teacher spread0.344 · 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

Citations5
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Child Health and NutritionSame topicChild Nutrition and Water AccessFrench-language works237,207