host-acquired immunity from previous infections. It may also relate to differences in climate conditions, land topography, local altitudes, housing structure, human migration, and the unequal use of preventive and treatment measures [4; 5]. Indeed, heterogeneous mosquito biting has been reported as a possible factor for enhancing malaria transmission: human hosts who are bitten most will later on infect a larger number of mosquitoes [6] and will be more likely to behave simultaneously as super-receivers, as well as super-spreaders [7; 8]. Moreover, not all human beings are equally attractive to mosquitoes. Multiple factors seem to influence the mosquito feeding routine. During day time, the mosquito vision apparatus seems to be the most effective mosquito guidance system. However, at night time, olfactory cues may play a more important role in mosquito host-seeking behavior. The affinity of the disease vector _Anopheles_ is related to the presence of specific odors in the human host, namely different chemical stimuli called kairomones such as the CO\({}_{2}\) percentual fraction in human exhaled air or the presence of some aliphatic carboxylic acids in the human skin. Human CO\({}_{2}\) breathing may be the single most important factor conditioning mosquito feeding preferences [5]. Furthermore, different _Anopheles_ subspecies may display different levels of anthropophililic mosquito feeding habits [9; 10; 11; 12]. Furthermore, infectious hosts may display higher mosquito bite attractiveness as a result of the presence of high levels of gametocytemia [13; 14; 15]. However, till the 90's, most of the models of malaria dynamics assumed homogeneous transmission, while a precise and objective quantitative approach to realistic scenarios was still lacking. In 1997, [PERSON] defined a specific model for the presence of heterogeneity in malaria transmission, naming it the 20/80 rule [16]. This rule assumes that 80% of all mosquito bites will occur in 20% of the human population, being inspired by [PERSON]'s original work on the distribution of world wealth [17]. This smaller super-spreader subgroup [8] concentrates the effect of repeated biting leading to a proportional increase in the risk of disease transmission to human hosts. Furthermore, it stands as a privileged reservoir with a higher probability of mosquito reinfection as a result of higher gametocytemia levels. In identical endemic conditions, this fact alone may increase several-fold the probability of disease transmission [16]. We will refer to this Pareto-Woolhouse rule as the PW-rule. For a review comparing the major malaria transmission models, see [18]. Spatial variation in malaria incidence and exposure to infected mosquitoes in Tanzania has been related to the presence of clusters of higher malaria incidence among infants [19]. These were defined as hotspots of malaria transmission, with higher mosquito bite exposure. In this case, while a small group of children (around 10%) experienced several malaria episodes, there was no clinical evidence of malaria symptoms in two thirds of all children. A stronger human exposure to _Anopheles_ mosquito may also result from spatial factors such as a closer distance to vector breeding sites, prolonged outdoor human activities, and human genetics responsible for the production of odors more attractive to mosquitoes [20]. In some African villages, the existence of hotspots supports continuing transmission during the dry season, while acting as a source of infection for the rest of the village during the wet season [20]. Within a few districts of Bangladesh with stable hotspots, the malaria incidence distribution was remarkably similar to the heterogeneity of the 20/80 rule described by [PERSON] [16; 21]. In Figure 1, it is possible to see that human and mosquito infection prevalence time series are clearly influenced by model heterogeneity.