作者
Yi-Roe Tan, Anurag Agrawal, Malebona Precious Matsoso, Rebecca Katz, Sara LM Davis, Andrea Sylvia Winkler, Annalena Huber, Ashish Joshi, Ayman El-Mohandes, Bruce Mellado, Caroline Antonia Mubaira, Felipe C Canlas, Gershim Asiki, Harjyot Khosa, Jeffrey Victor Lazarus, Marc Choisy, Mariana Recamonde-Mendoza, Olivia Keiser, Patrick Okwen, Rene English, Serge Stinckwich, Sylvia Kiwuwa-Muyingo, Tariro Kutadza, Tavpritesh Sethi, Thuso Mathaha, Vinh Kim Nguyen, Amandeep Gill, Peiling Yap
发表日期
2022/6/1
来源
BMJ Global Health
卷号
7
期号
6
页码范围
e009389
出版商
BMJ Specialist Journals
简介
The COVID-19 pandemic has underlined the need to partner with the community in pandemic preparedness and response in order to enable trust-building among stakeholders, which is key in pandemic management. Citizen science, defined here as a practice of public participation and collaboration in all aspects of scientific research to increase knowledge and build trust with governments and researchers, is a crucial approach to promoting community engagement. By harnessing the potential of digitally enabled citizen science, one could translate data into accessible, comprehensible and actionable outputs at the population level. The application of citizen science in health has grown over the years, but most of these approaches remain at the level of participatory data collection. This narrative review examines citizen science approaches in participatory data generation, modelling and visualisation, and calls for …
引用总数
学术搜索中的文章