Decision Making in Health Management during Crisis
A Case Study Based on Epidemiological Curves of China and Italy against Covid-19
Bibliographic Data
| ID | 15514616 |
|---|---|
| Authors | Salvador Ávila Filho (0000-0002-5006-1501, Universidade Federal da Bahia), Júlia Spínola Ávila (0000-0001-7971-4089, Universidade Federal da Bahia), Beata Mrugalska (0000-0001-9827-9449, Poznań University of Technology, corresponding author), Naiara Fonseca de Souza (0009-0001-6155-4547, Universidade Federal da Bahia), Ana Paula Meira Gomes de Carvalho (Universidade Federal da Bahia), Lhaís Rodrigues Gonçalves (0000-0001-7520-6984, Universidade Federal da Bahia) |
| Year | 2021 |
| Volume | 18 |
| Issue | 15 |
| Pages | 8078-8078 |
| Publication date | 2021-07-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph18158078 |
| PMID | 34360370 |
| OpenAlex | W3189520430 |
| Language | EN |
| References cited | 25 |
In December 2019, a new infectious respiratory disease called COVID-19 was identified in Wuhan, Hubei province, in China and quickly reached pandemic status in March 2020, in uncertain and frightening situation. The objective of this study was to analyze the epidemiological curves from the fight against COVID-19 in China and Italy, establishing parameters that can assist with the decisions of health-planning managers. This study was conducted using the principles of the grounded theory methodology and a practical method of comparison between the real and ideal curves, based on the contamination and death data by SARS-CoV-2 in China and Italy. For this purpose, we built graphs, including parameters, such as, among others, amplitude, height, saturation point, acceleration, lethality, event, risk, and efficiency. The results of our study showed that China exhibited amplitude and height of the active contamination and death curve 2 times smaller than those of Italy which exhibited several saturations. It was investigated that Italy presented a qualitative risk of 5-6, whereas for China it was 4. According to the parameters, China and Italy presented health management that was able to reduce the impact caused by the virus. The implementation of adequate health management with these practical tools can guide perception of the crisis critical levels, avoiding major disasters. We intend to continue to validate the method in the analysis of data from Brazil and the USA
2019-20 coronavirus outbreak · China · Coronavirus disease 2019 (COVID-19 · Crisis management · Development economics · Economics · Geography · Outbreak · Political science · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Employment and Welfare Studies · Medicine · Epidemiology · Virology
Human Error
Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (Sars-CoV-2)
The positive impact of lockdown in Wuhan on containing the Covid-19 outbreak in China
Building Better Theory by Bridging the Quantitative–Qualitative Divide
Grounded theory research
The Discovery of Grounded Theory
Poorly known aspects of flattening the curve of Covid-19
Development of a Pandemic Residual Risk Assessment Tool for Building Organizational Resilience within Polish Enterprises
Italian Public Health Response to the Covid-19 Pandemic
As redes de atenção à saúde
Grounded Visualization
| Citation velocity | historical |
|---|---|
| Highly cited | No |