COVID 19 LIAISE - Project 01

Embedding COVID-19 preparedness into local disaster risk reduction

Impact

Short-term impacts of our research will increase awareness of the role of the public health system in DRR preparedness planning. A literature review of Covid-19 (D1) will give an overview of the position of Co-19 preparedness planning in DRR framework in Indonesia.

Planned deliverables of this project will generate impacts via: promoting systematic integration of health into national, sub-national and local DRR policies and plans; enhancing cooperation between health authorities and other relevant stakeholders to strengthen country capacity for DRR and pandemics nexus; Integrating DRR into health education and training and strengthen capacity building of health workers in DRR; incorporating health-related mortality data into national and local DRR prepared and planning systems; Advocating for, and supporting cross-sectoral, transboundary collaboration including information sharing; and promoting coherence and further development of local and national policies and strategies, legal frameworks, regulations, and institutional arrangements.

A policy paper that is proposed (D4) will provide direct input towards the Indonesian National Disaster Management Agency (BNPB) to create action plans in the DRR for widespread and systemic hazards. Experiences from handling Covid-19 has emphasised the gaps on how the public health sector needs to integrate with other disasters. Padang City, where the project will take place, will benefit from the proposed improvement of the DRR system for the city.

In situations where disaster managers are dealing with crises on multiple fronts, responding to one disaster may exacerbate the impact of another. There need to be redesigning its approach to disseminating early warnings at the community level to ensure physical distancing and greater use of mass communication tools including public address systems and social media. These are some of the long term impacts that this project will generate.