2 3 Models predicting disease transmission are a vital tool in the control of mosquito populations and 2 4 3 1 temperature-trait relationships estimated based on daily rates versus directly observed lifetime 3 2 values. Incorporating these temperature-trait relationships into an expression governing 3 3 transmission suitability, relative R 0 (T), model resulted in minor differences in the breadth of 3 4 suitable temperatures for Plasmodium falciparum transmission between the two models 3 5 constructed from only An. stephensi trait data, but a substantial increase in breadth compared to a 3 6 previously published model consisting of trait data from multiple mosquito species. Overall this 3 7 work highlights the importance of considering how mosquito trait values vary with mosquito age 3 8 and mosquito species when generating temperature-based environmental suitability predictions 3 9 of transmission. 4 0 Introduction 4 3 Despite the progress of global malaria elimination programs in reducing the incidence of 4 4 human malaria, particularly Plasmodium falciparum, malaria remains a leading cause of 4 5 morbidity and mortality among infectious diseases (1). The occurrence of multi-class drug and 4 6 insecticide resistance, in addition to alterations in mosquito behavior, challenge our ability to 4 7 eradicate malaria and poses the possibility of resurgence (1-6). While numerous environmental 4 8 factors affect the distribution and prevalence of mosquito-borne diseases, temperature is one of 4 9 7 2 temperatures in northern latitudes become more permissive and suitable seasons extend (24, 32, 7 3 49).7 4 Despite these advances, insights from previous mechanistic R 0 models remain 7 5 constrained by a lack of entomological and parasite data (31). Temperature-trait relationships for 7 6 key parameters are often indirectly estimated from a limited number of studies, leading to high 7 7uncertainty around the predicted thermal limits in current malaria R 0 models (31, 32).
8Additionally, the parameterization of R 0 models with temperature-trait relationships aggregated 7 9 from different mosquito and parasite species likely introduces error and uncertainty in R 0 8 0 estimates given the degree of inter-and intra-species variation in life history (7, 31, 32). 8 1 Further, evidence from a diversity of invertebrate systems demonstrates that organisms 8 2 experience age-related changes in life history traits (50-53). These changes reflect either 8 3 senescence, a decline in general physiological function with age, or a shift in energy allocation to 8 4 different life history tasks as an organism ages to maximize fitness. Limited studies suggest that 8 5 age modifies mosquito life history, with some evidence that mosquitoes experience reproductive 8 6 senescence (54), bite more frequently as they age (55), and exhibit age-dependent survivorship 8 7 (52). Yet, incorporating the combined effect of temperature and age on mosquito life history 8 8 traits has not been explicitly addressed in temperature-dependent R 0 models for mala...