Vector-borne zoonotic pathogens, such as West Nile virus (WNV), pose a significant global health challenge with their distribution and incidence increasing due to global change. Understanding factors promoting or inhibiting spillovers to humans is crucial to limit outbreaks from zoonotic origin. Traditionally, the study of pathogens risk has focused on vertebrate hosts, neglecting the role of vector identity. Nevertheless, vector abundance and species distribution play a key role in determining the distribution and incidence of many vector-borne diseases, where mosquitoes are the most important vectors of medically significant pathogens. As such, variation between vectors in how they spread disease through the impacts on pathogen host range and effects on transmission rates, are key factors to consider in the control and surveillance of vector-borne infectious disease.
The overarching goal of EpiEcoMod was to quantify the risk of WNV invasion by explicitly considering the impact of variation between vector and host key-life history traits and environmental characteristics along a natural-rural-urban gradient. We investigated a multi-vector / multi-host system focused on the WNV, a zoonotic virus with a complex eco-epidemiology. WNV is maintained in a mosquito-bird transmission cycle, with humans and other mammals considered as incidental “dead-end” hosts (Fig. 1). Their recent unprecedented outbreaks, accompanied with growing cases of human morbidity and mortality during the last decade, has quickly prompted WNV as a major public health concern. By using a mathematical model based on multiple vector-host species, EpiEcoMod answered the key question “Are there key settings where it is crucial to target a specific type of mosquito for WNV control?”. This allowed us to gain insights into vector community parameters, uncovering the epidemiological basis of transmission patterns of WNV infection. Outcomes from EpiEcoMod contributes to generates scientific data that can be used to improve management strategies, resource allocation, efficiency in the labor of local public health authorities, thus saving money and time.