Decision Making in Health Management during Crisis: A Case Study Based on Epidemiological Curves of China and Italy against COVID-19

Decision Making in Health Management during Crisis: A Case Study Based on Epidemiological Curves of China and Italy against COVID-19

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 aga...

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Bibliographic Details
Published in:International journal of environmental research and public health Vol. 18; no. 15; p. 8078
Main Authors: Filho, Salvador Ávila, Ávila, Júlia Spínola, Mrugalska, Beata, de Souza, Naiara Fonseca, Gomes de Carvalho, Ana Paula Meira, Gonçalves, Lhaís Rodrigues
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 30-07-2021
MDPI
Subjects:
Amplitudes
Case studies
China - epidemiology
Contamination
Coronaviruses
COVID-19
Decision Making
Epidemiology
Fatalities
Grounded theory
Humans
Italy - epidemiology
Management of crises
Pandemics
Personal protective equipment
Quarantine
Respiratory diseases
SARS-CoV-2
Severe acute respiratory syndrome coronavirus 2
Social isolation
Viruses
Italy
China
COVID-19
Italy
crisis management
parameters
China
health management
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Summary: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.
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ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph18158078