RESILIEMC, the project led by MCM’s Prof. Gernelyn Logrosa, is creating a decision-support system platform to help hospitals prioritize medical interventions and for local governments to implement risk management through health-risk maps.
VATAS, led by Asst. Prof. dela Torre, is creating a tool to assess risk of emerging infectious diseases in animal reservoirs and urban green spaces.
The iWAS project, led by Prof. Dann Marie del Mundo, aims to detect SARS-CoV-2, the virus in COVID-19, in community wastewater systems.
In its first year, AMDABiDSS-Health has established partnerships with local governments (2), the academe (7, plus 2 upcoming), government offices (4, and 4 more upcoming), and other institutions (5).
Products undergoing development are the risk and hotspot maps, a vulnerability scoring index tool, a validation of a LAMP assay for CoronaVirus detection, a molecular community tracker, and an interdisciplinary journal.
Policy recommendations based on initial findings, and other technical services, were discussed and acted upon in local government and development council meetings.
People were served through online information dissemination programs (about 1,000-1,500 persons), trained through online workshops (145), provided COVID-19 situational reports (79), and COVID-19 maps (64).
Persons who received training were senior high school and college student interns (>100), thesis students (>10), MS students (4), PhD students (2), pediatric physicians (3), faculty members (7), and wildlife assessment & animal disease surveillance trainees (3), from Region IX, X, and XI only.
Publications produced included published articles (2), articles under review or in pre-print (2), ongoing working papers (10), and paper presentations in local/national (8) and international conferences (10).
Patents for modules and services of AMDABiDSS-Health include spatiotemporal maps, data analytics, forecasts, genome-based epidemiology, agent-based modeling simulation, vaccination rollout system, health-risk maps and bowtie models, and wastewater-based epidemiology. (PR/ UP Mindanao)