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 Dr. Vena Pearl Boñgolan talks about the modeling experience they have which they brought into AI4PEP, to be used in the predictive modeling of some common infectious diseases, in preparation for a response in case of outbreaks.
 Embarking on a groundbreaking voyage! Introducing the ATIPAN+ "Bantay Ikaayong-Lawas: Community Health Monitoring System.” Join us in this revolutionary journey as we forge a sustained sentry for epidemic surveillance and resource-planning systems for the underserved Indigenous communities in Western Visayas. Through the lens of telehealth and community-inspired health innovations, we're not just addressing healthcare gaps but laying the groundwork for universal healthcare. Join us on this transformative journey towards inclusive and accessible health for all! Dive into the future with us! #ATIPAN+Launch #HealthcareInnovation #GlobalCollaboration #EmpoweringCommunities #USACFI #YorkU #IDRC  We're pleased to announce the launch of AI4PEP-TDP4 project titled, "Telehealth data, predictions, pandemic prevention and preparation". This initiative is a product of the collaboration of researchers from the University of Alberta, University of the Philippines Diliman, National Center for Mental Health, World Association for Psychosocial Rehabilitation, and the University of San Agustin. It aims to develop and implement a disease surveillance system in underserved and low-resource settings in Western Visayas, Philippines. Together with our partner communities, we envision that this project will pave the way for healthcare services to reach underserved communities that need them the most. #WAPR #AI4PEPTDP4 #AI4PEPLaunch #USACFI #YorkU #IDRC Follow us in our Facebook page.  Understanding the Causes of Antimicrobial Resistance (AMR)
Antimicrobial Resistance (AMR) has emerged as a pressing global health threat, endangering the effectiveness of antibiotics and other antimicrobial agents that are essential for treating bacterial infections. Quantifying Consequences through a Bayesian Regret Analysis of Computational Models From social policy to healthcare, computational models have been used as a crucial step in guiding decision-making. But depending on how they are applied, the conclusions drawn from the data may prove beneficial or disadvantageous. Keywords: Bayesian Regret, Vulnerable Population, COVID-19, Mathematical Model 
This presentation discusses Ati peoples lived-experiences, life’s aspirations and motivations, expression of their cultural identity, struggles for self-determination amidst cultural misrecognition brought about by powerful economic globalization and urbanization. This project may help in understanding the life of the Ati people in Panay, Western Visayas that paves the way for society to give them cultural recognition. It hinges on the idea that the Ati people, being one of the members of the indigenous peoples (IPs) in the country have suffered from various forms of cultural disrespect such as oppression, misrepresentation in local cultural activities, discrimination of their distinctive cultural practices and identities, and various human rights abuses by the society. Despite of the implementation of Republic Act 8371, also known as the Indigenous Peoples Act in 1997 in the Philippines, and the United Nations Declaration on the Rights of Indigenous Peoples, there are still unending issues on land grabbing, poverty, several health issues, and discrimination that haunted the Ati communities. For many years, Ati communities were displaced from their inhabited land because of the urbanization and economic globalization in Panay Island. Thus, the Ati people struggle for recognition of their rights and privileges as co-equal members of the Filipino society.
Keywords: Indigenous Peoples, Ati, Panay Island, Social Justice Visit https://ai4pep.org/ai4pep-colloquia/ for further readings. Watch the discussion at https://www.facebook.com/centerforinformatics/videos/877566683516409 or below:  Dr. Romulo de Castro, Director of University of San Agustin Center for Informatics gave a talk regarding the mental health component of the project AI4PEP.
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September 2024
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