Disease surveillance has played a significant role worldwide because of the COVID-19 pandemic. One major lesson learned by all countries is that access to good quality data is necessary for informed anticipatory action. Specifically, operational dashboards that provide daily now casting and forecasting tools have been helpful in setting policies and guidelines in the management of the pandemic. Over the past 2.5 years, the FASSSTER platform has served the Philippine government agencies and local government agencies with access to a scenario-based COVID-19 disease surveillance and modeling tool, providing users with the ability to project COVID-19 cases, deaths, and recoveries up to 3 months into the future. With more data coming in, the platform had to be reconfigured so that it could accommodate running more data. Alongside more data, the model had to be reconfigured to accommodate interventions including community quarantine, mobility, public health standards, and vaccination coverage. Our proposal is to submit a FASSSTER lite instance as a digital public good that can be scaled in other country contexts, providing users with the ability to project cases of different infectious diseases to help inform anticipatory action. In particular, these diseases will be TB, malaria, and dengue, in addition to COVID-19.

FASSSTER is a now casting and forecasting tool that supports creation of policies and guidelines in the management of a disease outbreak/pandemic.Tanod COVID is an optional extension solution for data collection  and consolidation of data from local governments to a national health agency.