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Open data for COVID-19 policy analysis and mapping

2023; Nature Portfolio; Volume: 10; Issue: 1 Linguagem: Inglês

10.1038/s41597-023-02398-3

2052-4463

Rebecca Katz, Kate Toole, Hailey Robertson, Alaina Case, Justin Kerr, Siobhan Robinson-Marshall, Jordan Schermerhorn, Sarah Orsborn, Michael Van Maele, Ryan D. Zimmerman, Tess Stevens, Yasser Omar Abdellatif, Omolara Adekunle, Saba Alfred, Madison Alvarez, Ariyand Aminpour, Jennifer Ayres, Alice Bolandhemat, Matthew R Boyce, Anjali Britto, Josephine Bryar, Sophia Byrne, A Cano, Ethan Cantrell, Tianhui Cao, Yujie Chen, Kahiau Cockett-Nagamine, Kayleigh Coppinger, Katie Dammer, Julia Damski, Nathalie Danso, Aleena Dawer, Rose Dever, Maydha Dhanuka, Roma Dhingra, Maria Victoria Dias, Thomas M. Diehl, Katrina Dolendo, Franklin Dorschel, George Echeverria, Jordan Falk, Ethan Fan, Sayantika Ghosh, Liam Giombetti, Kelly Goonan, Aarushi Gupta, Akshay Gupta, Paula Gómez, Buchen Han, Olympia Hatzilambrou, Ryan Houser, Manya Jain, Rachael Johnson, Raynooka Kabir, Jaden Kielty, Grace Hyemin Kim, Hannah H. Laibinis, Ronit Langer, Ángel Lee, Ga Ram Lee, Samuel Li, Jessica Lin, Catrina Malone, Lucca Maraston-Oliveira, Megan McGuire, Meghan McQuillen, Kathryn Meadows, Brenna Means, Jayce Mei, Darius Meissner, Mackenzie Moore, Shoa Moosavi, Anusha Mudigonda, Misbah Nauman, M. Pamela Neely, Max A. Palys, M. Parikh, Iktae Park, Luka Pauwelyn, Emily Pelles, Rachel Perkins, Ilona Ponyatyshyn, Sneha Puri, Pooja Reddy, Allie Reichert, Ryan Remmel, Emily Ren, Timothy Rudolph-Math, Neilah Rustemi, Helen Ryan, Beatrice Salas, Divya Sammeta, Grace Sander, Isabel Schaffer, Samantha Schlageter, Maclyn Senear, Kavya M. Shah, Emily Shambaugh, Emily Sherman, Kennedy Lawson Smith, Anna Strunjas, Alison Talty, May Tan, Joe Thomas, K. M. Thomas, Tyler Thompson, Briana Thrift, Zachary Trotzky, Allison Van Grinsven, Ileana Vélez Alvarado, Danielle M. Venne, Sara Villanueva, Patrick J. Walsh, Jingxuan Wang, Yihao Wang, Sarah Weber, Ciara M. Weets, Courtney Wolf, Emily Woodrow, Theresa Worthington, Velen Yifei Wu, Wenhui Yang, Betelhem Yimer, Kayla Zamanian, Wei Zhang, Wenyu Zhu, Alexandra Phelan, Colin J. Carlson, Ellie Graeden,

Data-Driven Disease Surveillance

Abstract As the COVID-19 pandemic unfolded in the spring of 2020, governments around the world began to implement policies to mitigate and manage the outbreak. Significant research efforts were deployed to track and analyse these policies in real-time to better inform the response. While much of the policy analysis focused narrowly on social distancing measures designed to slow the spread of disease, here, we present a dataset focused on capturing the breadth of policy types implemented by jurisdictions globally across the whole-of-government. COVID Analysis and Mapping of Policies (COVID AMP) includes nearly 50,000 policy measures from 150 countries, 124 intermediate areas, and 235 local areas between January 2020 and June 2022. With up to 40 structured and unstructured characteristics encoded per policy, as well as the original source and policy text, this dataset provides a uniquely broad capture of the governance strategies for pandemic response, serving as a critical data source for future work in legal epidemiology and political science.