PREVENTION DE LA MALADIE
Filtres
Résultats
Epidemiological bulletin.CCOUSP.Cameroon.Q3 2021
Conduct of the first assessment of the continuity of essential health services in the COVID-19 context in the 10 regions of the country 2. Thorough investigation of confirmed cases of yellow fever in the concerned regions (Centre, Far North, Littoral and West). 3. Training of surveillance actors at the central level on the use of the "Epidemic Intelligence from Open Sources" EIOS platform 4. Detection of the Delta variant and occurrence of the 3rd wave of the pandemic in COVID-19 5. Adoption of the IDSR technical guide and of the National Multirisk Plan of Preparation and Response to Public Health…
Epidemiological bulletin.CCOUSP.Cameroon.Q1 2023
• 08/02/2023: Outbreak of Marburg virus disease in Equatorial Guinea in the provinces bordering the South Region • Intra-action review of the response to the cholera outbreak • Achievement of completeness and timeliness standards • Persistent outbreaks of COVID-19 and Measles in all regions of the country • Cholera and Yellow fever outbreaks in some parts of the country
Directives nationales de surveillance de la diphtérie et de la coqueluche.Cameroun.Juin 2024
Rapport Annuel Surveillance Intégrée Maladie Riposte.Cameroun.2024
Directives opérationnelles de la surveillance de la COVID-19.Cameroun.Octobre 2021
National guide for the management of epidemiological surveillance data.CCOUSP.Cameroun.Juin 2024
Guide Technique pour la surveillance Intégrée de la maladie et la riposte au Cameroun.CCOUSP.Cameroun.2021
Mémoire sur la Détection d'une maladie occulaire.KEYCE.Cameroun.2023
At the heart of the current digital and medical evolution, the early detection of eye diseases holds crucial significance in preserving visual health. This study aligns with this perspective by proposing the design of an innovative application, built upon advances in artificial intelligence based on deep learning. Our objective is to merge medical expertise with AI capabilities to craft an advanced and efficient diagnostic tool.Through thorough research, we compiled a comprehensive database encompassing a variety of ocular images, representing a wide spectrum of eye conditions. Leveraging this dataset, we trained a deep learning model across various architectures, enabling the system…
