UN DP- DAP B ohol E cotow n He alth S e ctor Page |9 and under the compliance to national directives - the presence of a disaster preparedness plan and in the Infrastructure Indicator- Health Infrastructure. The government efficiency indicator defines health capacity: Health is another basic government service. The capacity of health manpower to meet the health demand is an indication of government effectiveness. Its attendant Input indicator: 1. No. of doctors, nurses, caregivers, mid-wives in the locality 2. Population of locality. Capacity of Health Services 375 0.106838 152 0.119904 As for the disaster preparedness it has to have a plan (DRRMP), an office and staff that run it as well as a policy cover. This measure is under the compliance to national directives metric under the government efficiency indicator. As for the Indicator of health infrastructure capacity. It is defined as lack of hospital space that poses danger to health delivery and worsens quality. The input indicator is 1. Number of hospital beds in locality 2. Population. These two indicators only give us a small picture of the governance and infrastructure component of the health portion. When seen together with the other non-health indictors it will give you a gauge of the progress of the competitive index of a municipality. Health 668 0.019563 235 0.141700 22.1123 281 24.4845 The overall score is rank 651/ score 22.1123. Overall Total Score 651 The index in part will give us a rough picture of the government efficiency and infrastructure level that may be needed in adaptive capacities. A focused interactive discussion using a participatory approach to get health workers and community was done to identify the a) Health hazard and Exposure: Determine Historical Timelines of perceived Diseases; b) Health Vulnerabilities: Determine ‘climate sensitive’ diseases and their occurrence in the area; and c) Health vulnerabilities in the area using a health infrastructure and disease vulnerability ranking process. An initial adaptation capacity assessment to determine response mechanisms to the diseases (current, cross sector, gaps and weaknesses in response to the outbreaks) was likewise done to give us an illustration of the climate change and health situation. The table below shows the Antequera data gathered historical timeline of perceived diseases in the last 10-15 years.