Evidence map›Paper›PMID 34360370›Full record

ArticleInternational journal of environmental research and public health2021

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

Salvador Ávila Filho, Júlia Spínola Ávila, Beata Mrugalska, Naiara Fonseca de Souza, Ana Paula Meira Gomes de Carvalho, Lhaís Rodrigues Gonçalves

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 48% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Salvador Ávila FilhoDepartment of Mechanical Engineering, Polytechnic School, Federal University of Bahia, Salvador 40210-630, Brazil.ORCID 0000-0002-5006-1501
Júlia Spínola ÁvilaInstitute of Humanities, Arts and Sciences Professor Milton Santos, Federal University of Bahia, Salvador 40170-115, Brazil.
Beata MrugalskaFaculty of Engineering Management, Poznan University of Technology, 60-965 Poznan, Poland.ORCID 0000-0001-9827-9449
Naiara Fonseca de SouzaInstitute of Humanities, Arts and Sciences Professor Milton Santos, Federal University of Bahia, Salvador 40170-115, Brazil.
Ana Paula Meira Gomes de CarvalhoInstitute of Humanities, Arts and Sciences Professor Milton Santos, Federal University of Bahia, Salvador 40170-115, Brazil.
Lhaís Rodrigues GonçalvesInstitute of Humanities, Arts and Sciences Professor Milton Santos, Federal University of Bahia, Salvador 40170-115, Brazil.
Universidade Federal da Bahia · BRPoznań University of Technology · PL

Funding

Government Agency -National Council for Scientific and Technological Development (CNPq) Grant as Researcher DT2 (Tecnological Development of Brazil)Politechnika Poznańska 0811/SBAD/1030
6 · The paper itself

Abstract

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.

Indexed as

COVID-19ChinaDecision MakingHumansItalySARS-CoV-2ChinaCOVID-19crisis managementhealth managementItalyparameters

Identifiers

PMID34360370
PMCPMC8345512
OpenAlexW3189520430

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.