Accès ouvert déclaré
2020
data-paper
HIT-COVID, a global database tracking public health interventions to COVID-19
Qulu Zheng, Forrest K. Jones, Sarah V. Leavitt, Lawson Ung, Alain Labrique, David H. Peters, Elizabeth C. Lee, Andrew S. Azman, Binita Adhikari, Brian Wahl, Chloé Sarnowski, Daniel A. Antiporta, Daniel J. Erchick, Javier Perez‐Saez, Joseph Ssekasanvu, Kyu Han Lee, Laura White, Natalya Kostandova, Neia Prata Menezes, Nicholas Albaugh, Nidhi Gupta, Safia S Jiwani, Sonia T. Hegde, Swati Srivastava, Tricia Aung, Yijing Zhang, Giulia Norton, Arnav Kalra, Ashank Khaitan, Dyuti Shah, Japnoor Kaur, Keerthana Kasi, Lajjaben Patel, Lovedeep Singh Dhingra, Mudit Agarwal, Sanil Garg, Utkarsh Goel, Vikram Jeet Singh Gill, Erum Khan, Alina Patwari, Pegah Khaloo, Deepa Joshi, Emily Blagg, Emma Pence, Holly K Nelson, Jing Fan, Lauren Miller Forbes, Meredith Schlussel, Semra Etyemez, Shanshan Song, Udit Mohan, Yi Sun, Sunyoung Jang, Nicole Frumento, Ananyaa Sivakumar, Anna-Maria Hartner, Vedika Karandikar, Ziao Yan, Evan R. Beiter, Julia Song, Leia Wedlund, Miriam R. Singer, Rifat Rahman, Zain M. Virk, Arjan Abar, Bruce Tiu, Tyler Adamson, Kiran Paudel, Honghui Yao, Yinuo Wang, E Rosalie Li-Rodenborn, İpek Özdemir, Martha-Grace McLean, Susan M Rattigan, Brooke A. Borgert, C Moreno, Nicole Quigley, Chengchen Li, Nimran Kaur, Catherine Gimbrone, Sarah Elizabeth Scales, Julio C Zuniga-Moya, Peter Ahabwe Babigumira, Chibueze C. Igwe, H. Echo Wang, Leon L. Hsieh, Stuti L. Misra, Kelly Bruton, Danalyn Byng, Monica Miranda‐Schaeubinger, Mohammad Nasir Uddin, John R. Ticehurst, Emaline Laney, Abhimanyu Bhadauria, Vidushi Gupta, María Clara Sellés, Akash Kartik, Anmol Singh, Divya Garg, Jasmine Saini, Jyotroop Kaur, Mannat Kaur, Lena Denis, Iniobong Ekong, Renyuanouyang, Fred Tusabe, Alison Su-Hsun Liu, Molly R. Petersen, Pascal Agbadi, Ivan Segawa, Valerie Scott, Yannan Shen, Jennifer OKeeffe, Zachary Brennan, Major Singh, Ashutosh Saini, Mercy Ndukwe, Anushiya Vanajan, Jessica L. Minder, Eugène Lemaitre, Li Pi, Moneet Saini, Maria Cabrera‐Aguas, Hur E. Zannat, Arlinda Deng, Nhat-Lan H. Nguyen, Patrick Hinson, Laurence Buysse, Snimarjot Kaur, Chuxuan Zhang, Chhavi Saini, Daisy Y. Shu, Hamid Alemi, Prerana Shivshanker, Rohan Bir Singh, Tina B. McKay, Xia Wang, Sophia Lee, Nicolás Lundahl Ciano-Petersen, Frances Zielonka, Andrew Chihpin Chuang, Christel Saussier, Derek A. Dutra, Elizabeth K. Conlan, Lumen Luciano Yadriel Specter, Mais Alhariri, Ramazan Karahan, Terry A. Yen, Yacine Bouchene, Adam Sultanov, Navdeep Singh
116Citations signalées, ce qui n’est pas une note de qualité
51Institutions déclarées
17Pays d’affiliation déclarés
Rattachement africain : us, in, es, se, Ouganda, Nigéria, nz, ca, nl, au, br, tw, Ghana, ch, gb, be, cn.
Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
The COVID-19 pandemic has sparked unprecedented public health and social measures (PHSM) by national and local governments, including border restrictions, school closures, mandatory facemask use and stay at home orders. Quantifying the effectiveness of these interventions in reducing disease transmission is key to rational policy making in response to the current and future pandemics. In order to estimate the effectiveness of these interventions, detailed descriptions of their timelines, scale and scope are needed. The Health Intervention Tracking for COVID-19 (HIT-COVID) is a curated and standardized global database that catalogues the implementation and relaxation of COVID-19 related PHSM. With a team of over 200 volunteer contributors, we assembled policy timelines for a range of key PHSM aimed at reducing COVID-19 risk for the national and first administrative levels (e.g. provinces and states) globally, including details such as the degree of implementation and targeted populations. We continue to maintain and adapt this database to the changing COVID-19 landscape so it can serve as a resource for researchers and policymakers alike.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- HIT-COVID, a global database tracking public health interventions to COVID-19
- Date Crossref
- 27/08/2020
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.
Les sujets associés
COVID-19 epidemiological studiesCOVID-19 diagnosis using AICOVID-19 Clinical Research Studies