Arbovirus diseases are endemic in most of Brazil and are transmitted to humans particularly by two mosquito species of genus Aedes (A. aegypti and A. albopictus). The burden and spatial-temporal distribution of these diseases vary across Brazil: dengue and chikungunya have the highest burden in the Southeast (the states of Espírito Santo, Minas Gerais, Rio de Janeiro, and São Paulo), while Zika outbreaks occur mainly in the Northeast. Climate changes can increase the transmission and infection rates and spread due to elevated temperatures and other hydrological/climate changes. In this sense, the One Health (OH) approach for integrated surveillance of emerging viruses and control of arboviruses has been recommended but has still not been implemented due to the numerous challenges for integration of environmental, animal, and human health. This project aims to study the impact of climate changes on arbovirus infections transmitted by Aedes on multiple scales (weather, extreme events, land use changes, vectors, epidemiology, health policy, and population displacement) through the OH modeling approach. The approach aims to understand interdependent relations and interactions. The study will further develop an open-access risk stratification tool what will serve as an early warning and monitoring system for arbovirus outbreaks, contributing to climate management at the regional and national levels. Areas with heavy human migration along the country’s borders (the Triple Border region in the South of Brazil) and minority indigenous populations around agricultural areas will also be included in the project. The study’s hypothesis is that the impact of climate changes on the spread and burden of arbovirus diseases transmitted by Aedes can be predicted and monitored using an integrated OH approach, thereby building climate resilience in the communities. The project also draws on a country-wide research platform that will allow stakeholder engagement and the project’s implementation throughout Brazil, where a network of inter-sector collaborators from public health, animal health, environmental health, and climate science will share and analyze data collaboratively and disseminate discoveries to the communities, policymakers, private sector, and government stakeholders in their regions. The toolboxes will also incorporate interactive dashboards to effectively communicate the disease risks and to support decision-making activities.