Various knowledge gaps identified so far are listed on this page. 

1. Tracking and monitoring health indicators for disaster risk reduction 

• The lack of agreed all-hazard and disasters classification hampers health data collection. 
• There is a need for working epidemiological definitions to address temporality, attribution, and baseline data issues.
• Challenges exist in harmonizing health data collection methods across different disaster types.

2. Lack of internationally agreed or standardized methodology for public health data collection 

• Absence of universally accepted approach for data collection during and after disasters. 
• Variability in data collection methods affects data comparability between countries. 
• Standardization needed for better cross-border collaboration and response coordination. 

3. Research on effective information collection and sharing systems 

• Inadequate research on collaboration between local health facilities and Emergency Medical Teams. 
• Need for efficient information sharing during acute phases of disasters. 
• Effective systems enhance real-time communication and response coordination. 

4. Seamless transition from acute to post-acute phase data collection 

• Limited understanding of smooth transition between acute and post-acute phases. 
• Challenges in balancing EMT involvement and local capacity utilization. 
• Research needed to bridge the data collection gap between phases for continuity. 

5. Standardization of broader health-related data

• Lack of standardized data on community vulnerabilities, hospital status, lifelines, etc. 
• Standardization enhances data usability for effective Health EDRM strategies. 
• Need for agreed-upon data elements to capture essential health-related information.