The U.S. Department of State, the Bureau of Oceans and International Environmental and Scientific Affairs’ (OES) Office of International Health and Biodefense (OES/IHB), together with the Office of Global Change (OES/EGC) announces the Notice of Funding Opportunity (“NOFO”) for Diminishing Dengue in the Indo-Pacific with Climate Services.
The goal of the project is to generate an evidence-based predictive model for dengue in selected partner countries, hereafter referred to as “the predictive model”. The predictive model is expected to connect and analyze data sets related to climate variables, public health variables, and socio-demographic variables to pinpoint factors that lead to the spread of the disease. The model is also expected to be acceptable to and compatible with local scientific and public health practice institutions, so that it can be applied towards early warning and disease prevention efforts moving forward.
Moreover, the fact that dengue control relies heavily on community engagement (particularly with regard to mosquito control) means that the success of the predictive modeling exercise will hinge on its ability to be acceptable and applicable to the community context. A successful project will strengthen bonds between international scientists, national policymakers, and community action-takers. Such bonds will yield co-benefits for a variety of health security and climate adaptation projects in the future.
- Objective 1: Develop the first early warning system to reduce the spread of dengue in partner countries within the Indo-Pacific region through an evidence-based predictive model referred to as the predictive model.
- Objective 2: Utilize the key lessons discerned from the predictive model to create a framework for a predictive model that can be replicated and adapted by other regional partners.
- Objective 3: Strengthen bonds between international scientists, national policymakers, and community action-takers to establish dengue (mosquito) control measures that are acceptable and applicable to local communities, which is essential in reducing dengue outbreaks and crucial to successful program implementation
Results of this project should be delivered in two parts:
- Development of a predictive model as described above. The model should be accompanied by a guide including:
- The methodology for developing the model, including documentation of the data sets used and data gaps identified;
- A summary of the model’s results; and
- A road map for converting the model into operational forecast tool for public health practice.
- Improved capacity through engagement with government officials and other stakeholders in the development and dissemination of the predictive model.
These results should be summarized in a final report which should include a summary of project’s activities and outcomes, as well as best practice recommendations and lessons learned for other countries or institutions considering similar endeavors.
To achieve the goals and expected results, the program should include the following activities:
- Completion of a desktop analysis, to evaluate up to five countries on the basis of data set availability and interest/availability/capacity of institutions on the ground, with whom to partner.
- Selection of 1-2 partner countries, on the basis of this evaluation.
- Travel to 1-2 partner countries, to propose the project, garner feedback, and evaluate relevant institutional partners.
- Accrual of climate, health, and socio-demographic data through appropriate channels.
- Construction of models explaining recent epidemics of dengue.
- Convening of capacity building activities for local partners to learn about the model and its applicability to dengue prediction and prevention.
- Creation of a roadmap to align the predictive model with science and public health practice in the partner country, including specific plans for updating the model and linking relevant information with disease prevention authorities.
As time and funding permit, the program should also consider the following activities:
- Drafting and publication of best practices and lessons learned from the construction of the predictive model and alignment with public health practice.
- Sharing of these best practices and lessons learned in relevant regional and multilateral fora, including with other countries affected by dengue outbreaks.
- Publication of best practices and lessons learned in relevant peer-reviewed publications
- Approximate Total Funding: $ 98,765.00 USD
- Approximate Total Funding: $ 98,765.00 USD
- Anticipated Project Completion Date: September 30, 2022
- Period of Performance: 24 months
- Eligibility is limited to U.S. Non-profit/non-governmental organizations (NGOs) having a 501(c)(3) status with the IRS, or overseas-based non-profit/non-governmental organizations, U.S. or overseas private/state institutions of higher education, and public international organizations.
For more information, visit Grants.gov.