An evaluation plan for the Prince George's County rabies surveillance program: a utilization-based program evaluation design
Notice bibliographique
Résumé
Within the Prince George’s County Health Department (PGHD) located in the state of Maryland is the Department of Communicable and Vector-Borne Disease Control (CVDC), which handles the County’s rabies surveillance activities. In Prince George’s County, all animal bites are required to be reported due to the risk of exposure to rabies, a viral disease that has a mortality rate of almost 100% once victims become symptomatic. According to CVDC records, in 2015 alone, there were a total of 1242 animal exposures. Not only is there a high volume of cases handled by the CVDC annually, but within the CVDC, only one staff member investigates potential rabies exposures full time. The proposed program evaluation utilizes a mixed methods approach. The quantitative method utilized will be a statistical analysis and the qualitative method will include interviews with the CVDC staff formally working with the rabies program, as well as members of the Prince George’s Police Department, Animal Management and a selected health care facility. The goal is that the implementation of this evaluation will allow the CVDC to gather information in order to evaluate the efficiency of its rabies surveillance program. Ultimately, the desired conclusion from this analysis is to be able to better understand how the program is operating and whether changes could be implemented to improve program function. Public Health Relevance: Due to the necessity and thus permanence of programs such as the Prince George’s County’s rabies surveillance program, as long as these programs are resulting in their desired end goal, how well these programs are being implemented is never evaluated. There is no evaluation of how the resources are being allocated, whether the program is well staffed or how well the program is able to work with it collaborators-essentially the efficiency of the program. Even though a program is achieving its designated goals, the implementation of the program is also important. A program that is functioning inefficiently can lead to a drain on already scarce monetary resources, burning out of program staff, and the unintended negative effects of policies put in place (or not put into place) without any concept of how they will affect the program on the ground. These are problems that can affect any type of program and eventually lead to problems in the long term-problems that can be avoidable through the use of program evaluation.
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 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 | 0,009 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 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 ».