Epidemiology and Sarima model of deaths in a tertiary comprehensive hospital in Hangzhou from 2015 to 2022
Bibliographic Data
| ID | 15368170 |
|---|---|
| Authors | Jingyuan Dai (0000-0001-5096-0112, Second Affiliated Hospital of Zhejiang University, corresponding author), Yun Xiao (0000-0003-1779-7741, Second Affiliated Hospital of Zhejiang University), Qionglian Sheng (Second Affiliated Hospital of Zhejiang University), Jing Zhou (0009-0007-8795-5916, Second Affiliated Hospital of Zhejiang University), Zhe Zhang (0000-0003-3057-9490, Second Affiliated Hospital of Zhejiang University), Fenglong Zhu (Second Affiliated Hospital of Zhejiang University) |
| Year | 2024 |
| Volume | 24 |
| Issue | 1 |
| Pages | 2549-2549 |
| Publication date | 2024-09-19 |
| 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/s12889-024-20033-7 |
| PMID | 39300390 |
| OpenAlex | W4402652966 |
| Language | EN |
| Citations received | 1 |
| References cited | 33 |
Hospitals should enhance the management of sudden cardiac death, acute myocardial infarction, severe craniocerebral injury, lung cancer, and lung infection to reduce the mortality rate. The SARIMA model can be employed for predicting the number of deaths
Biostatistics · Environmental health · Medical emergency · Pathology · Public health · COVID-19 and healthcare impacts · Emergency and Acute Care Studies · Medicine · Trauma and Emergency Care Studies · Emergency Medicine · Epidemiology
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| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |