Prevalence of Human Brucellosis in Ethiopia: Systematic Review and Meta-Analysis
Notice bibliographique
Résumé
Abstract Brucellosis is a significant public health problem in Ethiopia with a high prevalence in both animals and humans. The disease is mainly transmitted through the consumption of unpasteurized dairy products, direct contact with infected animals, and inhalation of contaminated aerosols. The prevalence of the disease varies across different regions of Ethiopia, with the highest rates reported in areas with high livestock populations and low levels of public health awareness, which causes human suffering and huge economic losses. Several epidemiological studies have been conducted; however, reports have shown discrepant results. Therefore, this study aimed to understand the current disease burden, incidence, variation, and research output/data. Therefore, this systematic review and meta-analysis aimed to generate representative data on the prevalence of human brucellosis in Ethiopia. Methods: - We searched several databases, including PubMed, ScienceDirect, African Journals Online, Embase, and Google Scholar, for articles published in English between September 2007 and August 2022. The Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument and Newcastle-Ottawa scale were used for data extraction and quality assessment, respectively. We used statistical software (Stata version 14) and random-effects model for meta-analysis at 95% confidence interval (CI). This study included all references and articles that reported the prevalence of human brucellosis in Ethiopia, and extracted data from 26 studies covering 5,718 human serum samples. The Complement Fixation Test (CFT) was used as a confirmatory serological test to diagnose human brucellosis. Result: - The results suggest that the seroprevalence of human brucellosis in Ethiopia is relatively high, with an overall pooled prevalence of 14.0% (95% CI: 10.23, 18.12). The highest prevalence was observed in the Afar region, with a prevalence of 24.21%), whereas the lowest prevalence was reported in the Oromia region, with a prevalence of 7.75%). The study also found a high degree of heterogeneity, with an I2 value of 97.64%, which suggesting that there were significant differences in the prevalence of human brucellosis across different regions and over time. The detected heterogeneity was attributed to political regions and publication years, indicating that there may be differences in the prevalence of human brucellosis among regions over time. Furthermore, this study found that the prevalence of human brucellosis shows an increasing trend from year to year. This suggests that the prevalence of human brucellosis may be increasing in Ethiopia; however, further research is required to confirm this trend. Conclusion: Human brucellosis is a significant health concern in Ethiopia, and further research is required to prevent and control this disease. The higher prevalence of the disease than previously reported in meta-analyses highlights the urgent need for action by responsible bodies, such as the Ministry of Health, to develop an appropriate strategy to address this problem. Further research is necessary to identify the risk factors associated with human brucellosis, so that effective prevention and control measures can be implemented. It is essential to prioritize the prevention and control of this disease to ensure the health and well-being of the population. Prospero registration number: - CRD42022350237
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,014 | 0,029 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,018 | 0,033 |
| Bibliométrie | 0,010 | 0,011 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».