WP1 aims to build and significantly expand on infectious disease modelling work done in Singapore. We will use Singapore as the primary case study due to the availability of fine-scale, high-resolution spatio-temporal disease data. Furthermore, with a climate and connectivity that supports the importation and autochthonous transmission of a large range of infectious diseases, the city-state is near-ideal for creating innovative disease modelling frameworks and translating them to public health practice. In WP1, we are:

• Developing a Geographic Information System (GIS) data-repository that will catalogue, process and analyse data required for the SPACE program.

• Analysing the transmission dynamics of infectious diseases, using dengue and SARS-CoV-2 at the subzonal level as case studies to reveal structural factors which impact the spatial spread of two pathogens with distinct routes of spread (vector and aerosol/droplet).

• Creating modelling tools suitable to the adapting capacity theory that will be able to integrate data from other work packages.

• In collaboration with WP4, we are testing intervention scenarios in the short and long term, thereby triangulating strategies to make our cities more adaptive in meeting the challenge of emerging infectious diseases.

• Through (1) – (4) above, we are translating these tools for public health practices in other countries in the region (e.g. India, Laos, Thailand, Cambodia) by leveraging on consortia and partnerships that are already in place.