Global Health Strategy for Cancer: Think Globally, Act Locally! Building a Collaborative Partnership Between Manitoba (Canada) and Jaffna (Sri Lanka)
Notice bibliographique
Résumé
Background and context: The number of people diagnosed with cancer worldwide is estimated to double by 2035. The greatest increase is expected in low- and middle-income countries (LMIC) due to demographic changes, such as ageing and growing populations, and increasing exposure to risk factors. Approximately 8.8 million people die each year of cancer, or one in 6 deaths globally. The Canadian government has recently renewed its commitment as a progressive global citizen with efforts including improvement of global health equity. CancerCare Manitoba is the provincial agency responsible for cancer and blood disorders, including the delivery of a wide range of clinical services from prevention to screening to treatment and supportive services, as well as cancer surveillance, research, and education. CancerCare Manitoba has identified potential partnerships with governments, nongovernmental organizations, academic institutions, and funders to address current and future challenges related to global cancer control. This includes several LMIC partners who have expressed an interest in working with Manitoba on cancer-related issues. In this presentation, we will describe our plans and early experience with a team from the University of Jaffna, the northern region of Sri Lanka. With a focus initially on surveillance and cancer control planning, there is an excellent opportunity for mutual learning and advancement of programs for cancer surveillance and planning. Aim: To establish a local partnership by connecting Manitoba, Canada with an engaged team from the University of Jaffna, Sri Lanka to advance cancer surveillance and planning, and contribute to the “global war on cancer”. Strategy/Tactics: A phased approach is being taken to address locally identified needs for cancer control. CancerCare Manitoba staff will be part of the mentorship team working with local partners in Jaffna to ensure development of local capacity. Specifically, we will: initiate cancer surveillance and establish a cancer registry in Jaffna (building from a cross-sectional study → hospital based registry → regional registry); analyze data and report on patterns; and establish a strategic plan for cancer control. Program/Policy process: Early planning is underway, involving collaborators from Manitoba and Jaffna. A project proposal has been developed to provide scope and acquire seed funding. Outcomes: Success will be determined based on the context of each program, including: establishing a framework for cancer surveillance; satisfaction of local and international partners (e.g., the Global Cancer Surveillance unit at the International Agency for Research in Cancer); and production of reports as a basis for cancer control. What was learned: Early learnings include the importance of local engagement and dedicated mentorship to advance global health equity, manage challenges around (sustained) funding, and establish a foundation of motivated partners.
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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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».