Burden and sociodemographic determinants of pneumonia and diarrhoea among children younger than 5 years in Somalia: a community-based cross-sectional study
Notice bibliographique
Résumé
OBJECTIVE: Pneumonia and diarrhoea are two of the major causes of child mortality globally. Countries affected by conflict and other humanitarian emergencies, such as Somalia, have a particularly high burden of these diseases. Published reports from UNICEF and WHO have shown that various factors, including social, economic and environmental factors, are all associated with the occurrence of childhood pneumonia and diarrhoea. The objective of this study was to determine the prevalence, burden and associated sociodemographic determinants of pneumonia and diarrhoea among children younger than 5 years (under-5 children) in Somalia. DESIGN: A community-based survey using an interviewer-administered questionnaire was conducted employing a modified WHO Expanded Program on Immunization (EPI) 30-Cluster sampling technique to identify households and respondents in nine selected districts across six member states in Somalia. The interviewers began selecting households starting from house number 1 and continued until 75 households were surveyed in each cluster. SETTING: We considered the catchment areas of 12 target maternal and child health (MCH) centres as our study areas. Villages were considered as primary sampling units (PSU) while households within villages were considered as secondary sampling units, where women (with under-5 children) within households were the respondents. PARTICIPANTS: A total of 36 clusters (villages) were selected from the catchment areas of 12 target MCH centres. All households within the selected villages' PSUs were listed. The interviewer started interviewing from house number 1 and continued till 75 households were covered to conduct interviews with mothers of under-5 children. Data collection took place between October and December 2023. OUTCOME MEASURES: The prevalence and burden of childhood pneumonia and diarrhoea were estimated. A logistic regression model was employed to examine the determinants of childhood pneumonia and diarrhoea. RESULTS: A total of 2483 under-5 morbidities were reported, 1712 probable pneumonia cases and 825 diarrhoea cases. Our calculations suggest that the prevalence of overall under-5 morbidity was 458.4 per 1000 children (95% CI 444.3 to 472.6) in the last 90 days. The prevalence of pneumonia and diarrhoea was 316.0 (95% CI 303.5 to 328.8) and 152.3 (95% CI 142.2 to 162.8) per 1000 under-5 children, respectively. A total of 70 under-5 deaths occurred in the past year, of which 37 were infants. Our exploration depicts an under-5 mortality rate of 39.3 deaths per 1000 live births per year (95% CI 30.6 to 49.7), and the infant mortality rate was 20.8 per 1000 live births per year (95% CI 14.8 to 28.6) in the study area, which is much lower than earlier estimates. The crude birth rate was 106.6 per 1000 population, and the stillbirth rate was 149.8 per 1000 births (95% CI 134.9 to 165.7), which is very high. We explored probable causes of 70 under-5 deaths and found that the highest proportion of under-5 deaths (22.9%) was due to acute respiratory infections (ARI), and about 15.7% were due to diarrhoea. Among other probable causes, congenital diseases (12.9%), accidents (11.4%) and measles (8.6%) were noteworthy. CONCLUSION: This study revealed a high burden of pneumonia and diarrhoea among the studied population in Somalia. The study also identified important sociodemographic and environmental determinants that tend to increase the risk of pneumonia and diarrhoea among under-5 children.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».