Assessment of Regional Health Resource Carrying Capacity and Security in Public Health Emergencies Based on the Covid-19 Outbreak
Dados Bibliográficos
| ID | 15499366 |
|---|---|
| Autores | Xiaoran Huang (0000-0002-8702-2805, North China University of Technology, autor correspondente), Demiao Yu (North China University of Technology) |
| Ano | 2023 |
| Volume | 20 |
| Fascículo | 3 |
| Páginas | 2068-2068 |
| Data de publicação | 2023-01-23 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | International Journal of Environmental Research and Public Health (JOURNAL) |
| Identificadores do periódico | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Editora | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20032068 |
| PMID | 36767442 |
| OpenAlex | W4317816550 |
| Idioma | EN |
| Referências citadas | 24 |
The Omicron variant of COVID-19, which emerged at the end of 2021, has caused a new wave of infections around the world and is causing a new wave of the crisis due to the extreme variability of the pathogen. In response to public health emergencies such as SARS and COVID-19, the first task is to identify the vulnerabilities of regional health systems and perform a comprehensive assessment of the region's resilience. In this paper, we take the carrying capacity of medical resources as the focus; evaluate the medical, human, and financial resources of various regions; and construct an epidemic safety index based on the actual situation or future trend of the epidemic outbreak to evaluate and predict the risk level of each region in response to the epidemic. The study firstly evaluates the epidemic safety index for each province and city in China and 150 countries around the world, using the first wave of the COVID-19 epidemic in 2020 and the Omicron variant virus in 2022 as the background, respectively, and justifies the index through the actual performance in terms of epidemic prevention and control, based on which the epidemic safety index for 150 countries in the next year is predicted. The conclusions show that Europe, the Americas, and parts of Asia will face a significant risk of epidemic shocks in the coming period and that countries need to formulate policies in response to the actual situation of the epidemic
Business · China · Coronavirus disease 2019 (COVID-19 · Disease · Economic growth · Economics · Environmental health · Geography · Index (typography · Outbreak · Pandemic · Psychological resilience · Public health · Resilience (materials science · Computer Science · COVID-19 epidemiological studies · Healthcare Systems and Reforms · Medicine · Psychology · Viral Infections and Outbreaks Research · Virology
What is a resilient health system? Lessons from Ebola
Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (Sars-CoV-2)
Human resources and health outcomes
Acceptance of Covid-19 Vaccination during the Covid-19 Pandemic in China
China's human resources for health
Modified Seir and AI prediction of the epidemics trend of Covid-19 in China under public health interventions
Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations
Potential association between Covid-19 mortality and health-care resource availability
Tracking excess mortality across countries during the Covid-19 pandemic with the World Mortality Dataset
Long Short-Term Memory
Knowledge Mapping Analysis of Public Health Emergency Management Research Based on Web of Science
Intracity Pandemic Risk Evaluation Using Mobile Phone Data
The Impact of Covid-19 on Pedestrian Flow Patterns in Urban POIs—An Example from Beijing
Risk assessment for precise intervention of Covid-19 epidemic based on available big data and spatio-temporal simulation method
Association of built environment attributes with the spread of Covid-19 at its initial stage in China
The Spatio-Temporal Characteristics and Influencing Factors of Covid-19 Spread in Shenzhen, China—An Analysis Based on 417 Cases
How Effective Is a Traffic Control Policy in Blocking the Spread of Covid-19? A Case Study of Changsha, China
Development and Validation of the Coping Capacity Measurement Scale of Public Health Emergencies in China
Distribution of selected healthcare resources for influenza pandemic response in Cambodia
Inequality in the distribution of health resources and health services in China
Inequalities in the geographic distribution of hospital beds and doctors in traditional Chinese medicine from 2004 to 2014
Calculating incidence rates and prevalence proportions
Lessons From Covid-19 Responses in East Asia
Addressing the unequal geographic distribution of specialist doctors in Indonesia
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |