This criteria is plotted in Figure 3a . As expected, if jw1 then presence of malaria increases the probability of an outbreak of Hepatitis E, while if jv1 the presence of malaria inhibits Hepatitis E. Assuming that malaria is at equilibrium in the population. (For example week of March 2009, with 2,316 malaria cases), gives M Ã~0 :083, then equation (16) gives a direct relation between j and R 0 . In fitting the model we note that the transmission rates br and j are not independent. Indeed, using PottersWheel to fit the co-infection model shows that the range of values for br is between 1.28-4.69, c between 1.01-1.75 and j values are between 0.02-13.27 (Figure 3b ) All of these values fall on line corresponding to R C between 2.19-2.48. This relationship follows the same curve as the analytical results in Figure 3a .