The global incidence of dengue has grown dramatically in recent decades and about half of the world's population is now at risk. The proper deployment of mobile health teams is one of the tools available to control the mosquitoes population responsible of the illness transmission. The team deployment problem can be casted as a maximal coverage location problem with uncertainty due to the nature of the information available. Our aim is to propose and solve two fuzzy maximal covering location problems in the context of dengue control. We manage imprecision at the level of the number of teams available and at the coverage distance they may cover. Both cases are modeled through a fuzzy constraint. Computational experiments, using real data from Estado de Guerrero in México, have been conducted to analyze how the proposed models can be solved and what kind of information can be obtained to help a potential decision maker in taking a more informed decision.