Evidence map›Paper›PMID 33922634›Full record

ArticleInternational journal of environmental research and public health2021

A Non-Linear Biostatistical Graphical Modeling of Preventive Actions and Healthcare Factors in Controlling COVID-19 Pandemic.

Faruq Abdulla, Zulkar Nain, Md Karimuzzaman, Md Moyazzem Hossain, Azizur Rahman

Abstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
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  8. Estimating US Earnings Loss Associated with COVID-19 Based on Human Capital Calculation.International journal of environmental research and public health · 2022
    Article
  9. Review
  10. 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

5 authors.

Faruq AbdullaDepartment of Statistics, Faculty of Sciences, Islamic University, Kushtia 7003, Bangladesh.ORCID 0000-0003-3952-5843
Zulkar NainDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Islamic University, Kushtia 7003, Bangladesh.ORCID 0000-0003-0819-3137
Md KarimuzzamanDepartment of Statistics, Faculty of Mathematical and Physical Sciences, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.ORCID 0000-0002-2278-2379
Md Moyazzem HossainDepartment of Statistics, Faculty of Mathematical and Physical Sciences, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.ORCID 0000-0003-3593-6936
Azizur RahmanSchool of Computing and Mathematics, Charles Sturt University, Wagga Wagga, NSW 2650, Australia.ORCID 0000-0002-7670-5192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the insurgence of the COVID-19 pandemic, many people died in the past several months, and the situation is ongoing with increasing health, social, and economic panic and vulnerability. As most of the countries relying on different preventive actions to control the outcomes of COVID-19, it is necessary to boost the knowledge about the effectiveness of such actions so that the policymakers take their country-based appropriate actions. This study generates evidence of taking the most impactful actions to combat COVID-19.

objectiveIn order to generate community-based scientific evidence, this study analyzed the outcome of COVID-19 in response to different control measures, healthcare facilities, life expectancy, and prevalent diseases.

methodsIt used more than a hundred countries' data collected from different databases. We performed a comparative graphical analysis with non-linear correlation estimation using R.

resultsThe reduction of COVID-19 cases is strongly correlated with the earliness of preventive initiation. The apathy of taking nationwide immediate precaution measures has been identified as one of the critical reasons to make the circumstances worse. There is significant non-linear relationship between COVID-19 case fatality and number of physicians (NCC = 0.22;

conclusionsEnhancing healthcare facilities and early imposing the control measures could be valuable to prevent the COVID-19 pandemic. No association between COVID-19 and other comorbidities warranted further investigation at the pathobiological level.

Indexed as

COVID-19PandemicsDelivery of Health CareFemaleHealth PersonnelHumansMaleSARS-CoV-2case fatality rateCOVID-19 pandemiclife expectancylockdownquarantinesocial distance

Identifiers

PMID33922634
PMCPMC8122857

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.