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Global Survey on Opportunities for Citizen Data in addressing Infectious Diseases
OnlineDe 20 Nov até 30 Mar, 2024
With the support of the Wellcome Trust, the Global Partnership is undertaking a scoping study in order to institutionalize the production and use of citizen data in the response to and prevention of environmentally sensitive infectious diseases, including cholera, schistosomiasis, leishmaniasis, and arboviruses (including dengue and yellow fever).
This survey is intended to collect insights to better understand the opportunities, challenges, and skills-building needs required to institutionalize citizen data for the prevention and response to infectious disease, and the policy priorities thereafter. We also seek to identify organizations that have experience in this area of work as potential partners.
More specifically, this survey aims to:
Identify producers of inclusive data and citizen data
Understand the needs of actors in the infectious disease field that can benefit from inclusive data and citizen data
Identify skills and capacity needs for citizen data use.
This survey is open to anyone who is carrying out work on citizen data, inclusive data or infectious diseases. We are particularly interested to hear from: grassroot organizations, governments, non-governmental organizations, academia, research organizations, networks and communities of practice.
Definitions
Citizen data
Citizen data is defined as data produced by and with sufficient engagement of citizens, communities, civil society organizations and other actors at the design and/or collection stages of the data process, with the aim to inform decision making, responding to specific needs of a community, supplementing existing data from the National Statistical Systems at various levels, or filling data gaps. By sufficient engagement, we mean citizens partner equally with producers of data to share planning and decision-making responsibilities or citizens actively control the entire data process, showcasing collective agency.
Inclusive data
Inclusive data refers to data that is representative, especially of those who are often marginalized, ensuring that data are collected for all people, regardless of their location, ethnicity, gender, age, disability, or other characteristics. Inclusive data goes beyond data disaggregation, looking across the data value chain - from data collection, analysis through to its dissemination uptake and use.
Infectious disease
In this context, we refer to infectious diseases as illnesses caused by pathogens, such as viruses, bacteria, or parasites whose spread, transmission, or severity is influenced by changes in environmental factors and climate patterns. Examples of diseases include cholera, schistosomiasis, leishmaniasis, and arboviruses, such as dengue and yellow fever.
This survey will take ~10 minutes to complete. Your responses are treated with confidentiality and will be reported as part of aggregate quantitative and qualitative analysis.