Second National Communications dependent variable can be explained by knowing the value of the independent variable. It will also help us know which variable is most effective for estimating the dependent variable. The following graphs and tables will show us trends and association of diseases and weather parameters in the three pilot areas. Table 1. Dengue and climate parameters in Pilot sites Climate Change Paramaters Albay Bohol r* p* Mean Temperature (°C) -.010 0.956 Relative Humidity (%) -.054 Rainfall (mm/day) -.047 r Surigao del Norte P r p -.010 0.956 -.010 0.956 0.770 -.054 0.770 -.054 0.770 .798 -.047 .798 -.047 .798 r* – pearson correlation; p = level of significance There appears to be no significant association between dengue and the three pilot sites. Cholera is negatively associated with weather humidity and rainfall in Albay. The numbers of cholera cases are low when the amounts of rainfall and weather humidity are high. No significant association found in Bohol and Surigao del Climate Change Albay Bohol Surigao del Norte Norte. Paramaters r* p* r p r p Mean Temperature (°C) -.228 .243 -.038 .850 .251 .198 Relative Humidity (%) -.623 <.001 .046 .818 -.170 .386 Rainfall (mm/day) -.386 .042 .113 .567 -.051 .797 Table 2. Cholera and climate parameters in Pilot sites 32