The application framework of big data technology in the Covid-19 epidemic emergency management in local government—a case study of Hainan Province, China
Bibliographic Data
| ID | 15375283 |
|---|---|
| Authors | Zijun Mao (0000-0002-5363-7617, Huazhong University of Science and Technology, corresponding author), Qi Zou (0000-0003-0208-2874, Huazhong University of Science and Technology), Hong Yao (0000-0002-7161-8639, Huazhong University of Science and Technology), Jingyi Wu (0000-0002-3519-3952, Huazhong University of Science and Technology) |
| Year | 2021 |
| Volume | 21 |
| Issue | 1 |
| Pages | 2001-2001 |
| Publication date | 2021-11-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-021-12065-0 |
| PMID | 34736445 |
| OpenAlex | W3210069963 |
| Language | EN |
| Citations received | 6 |
| References cited | 32 |
This study provides empirical evidence for certain aspects of the theory, mechanism, and technology for local governments in different countries and regions to apply, in a precise, agile, and evidence-based manner, big data technology in their formulations of comprehensive COVID-19 epidemic emergency management strategies
2019-20 coronavirus outbreak · Biostatistics · China · Coronavirus disease 2019 (COVID-19 · Economic growth · Emergency management · Environmental health · Geography · Government (linguistics · Infectious disease (medical specialty · Medical emergency · Outbreak · Pandemic · Pathology · Public health · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Socioeconomics · COVID-19 Digital Contact Tracing · Data-Driven Disease Surveillance · Medicine · Nursing · Epidemiology · Virology
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| Unique citing works | 6 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 6 |