A sero-genomic framework to estimate past, current, and future dynamics of Dengue virus (DENV) transmission

The proposed research focuses on improving how we track and respond to infectious diseases like dengue fever, especially in countries with fewer resources. The main goal is to develop a system that can better estimate how dengue spreads over time by using different types of data, such as blood tests and genetic information about the virus. Objectives: 1. Creating a Framework: The first step is to build a system, supported by computer simulations, that helps understand how the dengue virus spreads during an outbreak. 2. Collecting Data: Next, the research team will collect blood samples and virus data from people in dengue-endemic areas of South America (Peru) during the 2026 and 2027 dengue seasons. This will help them track the spread of different strains of the dengue virus and understand factors like climate and population movement that might influence its spread. 3. Analyzing Transmission: Finally, the team will combine the collected data with existing information to estimate how the virus has spread in the past, using advanced models that take into account the specific type of dengue virus present. Expected Impact: This research is expected to improve how we monitor and respond to dengue outbreaks Latin America and elsewhere around the world. By better understanding how the virus spreads and what factors influence its transmission, public health officials can make more informed decisions about how to prevent and control future outbreaks. Additionally, the methods developed in this study could be applied to other regions and diseases, helping to improve global health and epidemic preparedness. Ultimately, the project aims to create a more efficient and effective way to track and manage dengue fever, which could lead to better health outcomes and save lives.