This study developed a predictive model of Aermonas hydrophila in tryptic soy broth for any combination of temperatures (5 to $40^{circ}C$), pH (6 to 8), and NaCl (0 to 5%) using a response surface model. A. hydrophila tended to grow within a pH range of 6.0 to 8.0 and could not tolerate NaCl up to 5.0%. The interaction of pH and NaCl did not affect the specific growth rates (SGR). The primary model to obtain the SGR showed a good fit ($R^2{geq}0.980$). A secondary model was obtained by non-linear regression analysis and calculated as: $SGR=0.4577+0.0529X_1-0.1641X_2-0.1493X_3-0.0016X_1X_2-0.0001X_1X_3+0.0115X_2X_30.0006X_1^2+0.0114X_2^2+0.0150X_3^2$($X_1$=temperature, $X_2$=pH, $X_3$=NaCl). The appropriateness of the polynomial model was verified by the mean square error (0.0023), bias factor (0.922), accuracy factor (1.343), and coefficient of determination (0.937). The newly secondary model of SGR for A. hydrophila could be incorporated into the tertiary model to predict the growth of A. hydrophila.