CSIRO's Australian Centre for Disease Preparedness: Pacific Networked Diagnostics and Support (PaNDAS)

This project was developed in response to an identified need within the Pacific to increase diagnostic capacity for animal and zoonotic diseases. The establishment of a Pacific Laboratory Network, including reference laboratories in Australia and New Zealand, will ensure regional coordination, consistent diagnostic approaches, and timely support for animal disease investigations.

CSIRO's Australian Centre for Disease Preparedness: Bilateral Laboratory Collaboration (BICOLLAB II)

BICOLLAB II is a bilateral laboratory collaboration with Indonesia (laboratory strengthening through twinning) project with the Animal Disease Investigation Centre Wates (DIC Wates), Ministry of Agriculture (MoA), Indonesia. Phase One was funded through the Health Security Initiative, the predecessor of the Partnerships for a Healthy Region initiative.

Regional Engagement in Surveillance and response to Priority diseases, providing Opportunities for National health system strengthening and Development (RESPOND)

Australia is supporting partner countries to build capacity for health systems to anticipate, prevent, detect and control priority disease threats through the Regional Engagement in Surveillance and response to Priority diseases, providing Opportunities for National health system strengthening and Development (RESPOND) partnership with Menzies School of Health Research. 

Doherty Institute Strategic Partnership for prevention, surveillance and response to infectious diseases across the Indo-Pacific Region

Australia is strengthening its commitment to the prevention, surveillance and response to infectious diseases across the Indo-Pacific through a strategic partnership with the Doherty Institute. Over the next four years, our partnership will focus on workforce development, policy support, and systems strengthening, and will specifically target laboratory strengthening, genomic surveillance, antimicrobial resistance (AMR), and data for decision making.