ArticleJournal of Shanghai Jiaotong University (science)2020
Demand Analysis and Management Suggestion: Sharing Epidemiological Data Among Medical Institutions in Megacities for Epidemic Prevention and Control.
Article in Journal of Shanghai Jiaotong University (science), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Equitable data sharing in epidemics and pandemics.BMC medical ethics · 2021Pooled it
- Article
- A community-level study on COVID-19 transmission and policy interventions in Wuhan, China.Cities (London, England) · 2022Article
- The application framework of big data technology during the COVID-19 pandemic in China.Epidemiology and infection · 2022Article
- Rehabilitation of Sepsis Patients with Acute Kidney Injury Based on Intelligent Medical Big Data.Journal of healthcare engineering · 2022Article
- Remote nursing training model combined with proceduralization in the intensive care unit dealing with patients with COVID-19.World journal of clinical cases · 2021Review
- Evaluation of the Effect of PDCA in Hospital Health Management.Journal of healthcare engineering · 2021Article
- Diagnostic Value of SonoVue Contrast-Enhanced Ultrasonography in Nipple Discharge Based on Artificial Intelligence.Journal of healthcare engineering · 2021Article
- The challenge of privacy and security when using technology to track people in times of COVID-19 pandemic.Procedia computer science · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the prevention of coronavirus disease 2019 (COVID-19), epidemiological data is essential for controlling the source of infection, cutting off the route of transmission, and protecting vulnerable populations. Following Law of the People's Republic of China on Prevention and Treatment of Infectious Diseases and other related regulations, medical institutions have been authorized to collect the detailed information of patients, while it is still a formidable task in megacities because of the significant patient mobility and the existing information sharing barrier. As a smart city which strengthens precise epidemic prevention and control, Shanghai has established a multi-department platform named "one-net management" on dynamic information monitoring. By sharing epidemiological data with medical institutions under a safe environment, we believe that the ability to prevent and control epidemics among medical institutions will be effectively and comprehensively improved.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.