Cargando…
High-Resolution Data on Human Behavior for Effective COVID-19 Policy-Making — Wuhan City, Hubei Province, China, January 1–February 29, 2020
INTRODUCTION: High-resolution data is essential for understanding the complexity of the relationship between the spread of coronavirus disease 2019 (COVID-19), resident behavior, and interventions, which could be used to inform policy responses for future prevention and control. METHODS: We obtained...
Autores principales: | Wang, Jingyuan, Shi, Honghao, Ji, Jiahao, Lin, Xin, Tian, Huaiyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902759/ https://www.ncbi.nlm.nih.gov/pubmed/36777900 http://dx.doi.org/10.46234/ccdcw2023.015 |
Ejemplares similares
-
Use of public data to describe COVID-19 contact tracing in Hubei Province and non-Hubei provinces in China between 20 January and 29 February 2020
por: Dirlikov, Emilio, et al.
Publicado: (2019) -
A Longitudinal Cohort Study Using a Modified Child-Pugh Score to Escalate Respiratory Support in COVID-19 Patients — Hubei Province, China, 2020
por: Xiong, Yibai, et al.
Publicado: (2021) -
Determining the Covertness of COVID-19 — Wuhan, China, 2020
por: You, Chong, et al.
Publicado: (2021) -
Uncovering the Impact of Control Strategies on the Transmission Pattern of SARS-CoV-2 — Ruili City, Yunnan Province, China, February–March 2022
por: Chen, Jinou, et al.
Publicado: (2022) -
Fighting Against COVID-19 at the Community Level — Wuhan City, Hubei Province, China, 2020
por: Zhang, Canyou, et al.
Publicado: (2020)