Developing countries are disproportionally affected by climate change-induced disasters, including floods, storm surges, droughts, strong winds, wildfires, and heat and cold waves. Their impacts lead to the disruption of development goals. Since emergency response during disasters is in a time- constrained situation, efficient collaboration among the stakeholders for resource allocation plays a significant role in lessening casualties. During the rescue phase of these disasters, search and rescue (SAR) operations play a critical role in alleviating human well-being. Thus, the project aims to develop a generalized decision support model for allocating humanitarian medical supplies and services during climate change-induced disasters in view of resource sharing and coordination. It comprises three phases: (1) developing a composite “disaster health impact index”, which reflects the short-term impact of a disaster on the health of the immediate locality, (2) developing a computational platform for a composite “coordination index” among any two decision-making units (e.g., LGUs), which describes the coordination among them for humanitarian medical response and the final phase (3) constructs an optimization model for decision support in allocating medical supplies and services during disasters. The proposed computational platform will be implemented in the local government units of the province of Cebu.