The state of integrated disease surveillance globally: synthesis report of a mixed methods study
Notice bibliographique
Résumé
OBJECTIVES: Disease surveillance is an essential public health function needed to prevent, detect, monitor and respond to health threats. Integrated disease surveillance (IDS) enhances its utility and has been advocated for decades by the World Health Organization. This study sought to examine the state of IDS implementation worldwide. STUDY DESIGN: The study used a concurrent mixed methods approach consisting of a systematic scoping review of the literature on IDS, a survey of International Association of National Public Health Institutes (IANPHI) members and qualitative deep dive case studies in seven countries. METHODS: This report collates, analyses and synthesises the findings from the three components. The scoping review consisted of a review of summarised evidence on IDS. Eight reviews and five primary studies were included. The cross-sectional survey was conducted of 110 IANPHI members representing ninety-five countries. Qualitative case studies were conducted in Malawi, Mozambique, Uganda, Pakistan, Canada, Sweden, and England, which involved thirty-four focus group discussions and forty-eight key informant interviews. RESULTS: In the different countries, IDS is conceptualised differently and there are differing levels of maturity of IDS functions. Although the role of National Public Health Institutes has not been well defined in the IDS, they play a significant role in IDS in many countries. Fragmentation between sectors and resourcing (human and financial) issues were common. Good governance measures such as appropriate legislative and regulatory frameworks and roles and responsibilities for IDS were often unclear. The COVID-19 pandemic has strengthened some surveillance systems, often through leveraging existing respiratory surveillance systems. In some instances, improvements were seen only for COVID-19 related data but these changes were not sustained. Evaluation of IDS was also reported to be weak. CONCLUSIONS: Integration should be driven by a clear purpose and contextualised. Political commitment, clear governance, and resourcing are needed. Technology and the establishment of technical communities of practice may help. However, the complexity and cost of integration should not be under-estimated, and further economic and impact evaluations of IDS are needed.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,016 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».