Traditional healers’ roles, and the challenges they face in the prevention and control of local disease outbreaks and pandemics: The case of the East Gojjam Zone in northwestern Ethiopia
Notice bibliographique
Résumé
Objectives The main objective of this study was to assess the roles of traditional healers and the challenges they face in the of prevention and control of both local disease outbreaks and the COVID-19 pandemic, with a special emphasis on the work of traditional healers and healing centers in the East Gojjam Zone in northwestern Ethiopia, between 2020 and 2021. Methods From 25 February 2021 to 2 May 2021, a mixed-methods study (qualitative techniques combined with a quantitative approach) was carried out. The study was conducted by traditional healers and at healing centers in the East Gojjam Zone. The quantitative sample size was calculated based on the assumption of a single population proportion formula. As part of the qualitative research, levels of data saturation were continuously monitored, and were used to determine what the maximum number of study participants should be. Traditional healers and their clients were the study units for the quantitative component, whereas traditional healthcare providers (of all types) and religious leaders were purposively selected as the study units for the qualitative part. Descriptive and inferential statistical methods of analysis, and narrative- and content-wise methods of analysis, were used for the quantitative and qualitative components of this study, respectively. Results The quantitative findings of this study showed that 64.27% of respondents (95% CI 59.53% to 68.74%) had a good awareness of regional disease outbreaks and of the COVID-19 pandemic. Only 9.59% of people had a positive opinion regarding local disease outbreaks, the COVID-19 pandemic, and the preventive and control measures that were employed in response to these (95% CI 7.11% to 12.83%). In addition, this study revealed that a small percentage of participants (i.e., 2.16%) used traditional control and preventive measures in response to the COVID-19 pandemic and local disease outbreaks. Conclusion Less than one-tenth of respondents had a favorable attitude toward local disease outbreaks, the current COVID-19 pandemic, and the preventive and control measures that were employed in response to these. In addition, only a small number of study participants had actually used conventional control and preventive measures in response to local disease outbreaks and the COVID-19 pandemic. Nearly two-thirds of respondents had a good understanding of the preventive and control measures that were employed in response to local disease outbreaks and the COVID-19 pandemic.
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 | 0,003 | 0,002 |
| 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 | 0,007 | 0,003 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».