The Mango Model: Best Practices in the Creation of a COVID-19 Open Data Project Through a Partnership with Google Health and the Non-Profit FinMango
Published in the American Journal of Health Education. This article addresses the issue of accessibility related to collecting and publishing Open Data for COVID-19, and suggestions for using the finalized project data in addressing lifestyle behaviors that will inform Health Educators in differing agencies when developing programs for prevention and management of COVID-19. The Mango Model, based on evidence from a COVID-19 Open Data Project was funded by Google Health in partnership with the nonprofit FinMango. First, the purpose and background for the creation of the Open Data Project are provided. Second, outreach to various agencies is addressed. Third, differing methodologies used by agencies for collecting, organizing, automating, and publishing subnational were observed. Fourth, implications for organizations regarding practice, policy and research are discussed. The Google Health and FinMango COVID-19 Open Data Project reinforces the need for a universal standard for publishing open data with consistent reporting. Through the creation of the project, the Mango-Model offers best practices and solutions for universally releasing types of data to assist public health professionals, researchers, policymakers, and others in health-related fields in understanding and managing the virus, and in the mobilization of resources in future responses to local and global need.
"James Glasgow, Pharm.D.",
Pam Hoalt, PhD.
Brazilian Financial Ecosystem Report
Brazil's financial ecosystem is vast and complex, with various types of financial service providers coexisting. From our research, we've identified six key sectors within this ecosystem, each with their own unique landscape, players, macroeconomic effects, and challenges. As FinMango continues its work in Brazil, these factors will play an important role in defining future projects and identifying opportunities for impact
Elizabeth Gersch (advisor), JP Meyer, Sunny Singh, Srimaan Suribhotla
Pivoting Towards Financial Health... building of the measurement toolkit.
This report breaks down financial health, analyzes existing financial health surveys, and suggestions ways to move forward.
William Yu, Sunny Singh, Dawson Chitwood, Piper Coes, JP Meyer.
Financial Inclusion in Developing Countries – Comparative Case Study: Argentina & Brazil
Financial illiteracy levels are high in Argentina, particularly among lower income households. This is due to a lack of incentives and programs available to these groups. As a result, many people struggle to access credit and loans, limiting their opportunities for economic advancement. To address this problem, stronger partnerships between the public and private sectors are needed.
Julian Sendlemeirer, Tobias Abramenko
Case Study of Nigerian Ecoonomic Data
Despite the challenges of decentralized and inconsistent data, FinMango analyzed economic data for Nigeria. The analysis identified several key challenges, including outdated data and limited reporting institutions. This demonstrates the need for improved and standardized data collection to better inform decision-making. FinMango aims to address these challenges by advocating for better data reporting and by developing automated data collection tools.
Caitlin Murphy, Alex Mitchell, Bailey Mohri, Harsha Haribhaskar, Leigh Mante, Nathan Manthei, Jared Orr.
Acknowledging the Barriers Returning Citizens Face
The purpose of this presentation is to understand the barriers that returning citizens face in order to begin brainstorming possible solutions for these problems. These problems stem from what I have gathered through interviews with returned citizens and cover a wide scope of issues. I recognize it will be difficult to address all these issues simultaneously, so additionally, a purpose for this presentation is prioritizing what issues can feasibly be addressed.