Evidence map›Paper›PMID 35000178›Full record

ArticleEnvironmental science and pollution research international2022

From the COVID-19 pandemic to corrupt practices: a tale of two evils.

Muhammad Usman, Mudassir Husnain, Muhammad Waheed Akhtar, Yameen Ali, Areej Riaz, Aimon Riaz

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Muhammad UsmanDepartment of Economics and Business Administration, Division of Management and Administrative Sciences, University of Education Lahore, Lahore, Pakistan.
Mudassir HusnainDepartment of Economics and Business Administration, Division of Management and Administrative Sciences, University of Education Lahore, Lahore, Pakistan.
Muhammad Waheed AkhtarDepartment of Management Sciences, COMSATS University Islamabad, Sahiwal, Pakistan.
Yameen AliDepartment of Economics and Business Administration, Division of Management and Administrative Sciences, University of Education Lahore, Lahore, Pakistan.
Areej RiazDepartment of Economics and Business Administration, Division of Management and Administrative Sciences, University of Education Lahore, Lahore, Pakistan.
Aimon RiazDepartment of Economics and Business Administration, Division of Management and Administrative Sciences, University of Education Lahore, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emergencies and corruption go hand in hand in times of crisis. We are currently living in a pandemic phase, and corruption is even more damaging during these times of crisis that the world is experiencing with COVID-19. Vaccination is the only survival option that we have. The development of a nation will soon be measured by the criteria of who owns more vaccines. This study has four objectives. The first is to explore the most recent relevant literature. Moreover, we also investigate the unique trilogy of corruption, the environment, and the COVID-19 pandemic. The second is to identify adequate channels for distributing the COVID-19 vaccines. The vaccines should be dispersed based on the categories of age, gender, ethnicity, profession, and health conditions. Third, we explored the factors that are causing corruption in the distribution of the COVID-19 vaccines. Our findings show that unequal distribution, theft and black markets, weaponization of vaccines, logistical challenges, and substandard and falsified vaccines are the factors that potentially lead to corruption. The fourth objective is to investigate solutions for mitigating corruption. We revealed that blockchain, awareness, well-planned distribution channels, and prioritization of vulnerable groups are the steps that could effectively reduce corruption.

Indexed as

COVID-19VaccinesCOVID-19 VaccinesHumansPandemicsVaccinationCOVID-19 VaccinesVaccinesCorruptionCOVID-19COVID-19 VaccinationEnvironment

Identifiers

PMID35000178
PMCPMC8742567

What OpenQuestion holds

Textmetadata
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.