Evidence map›Paper›PMID 33059674›Full record

ReviewInternational journal for equity in health2020

Ethics, pandemic and environment; looking at the future of low middle income countries.

Faouzia Tanveer, Ali Talha Khalil, Muhammad Ali, Zabta Khan Shinwari

Abstract readReview
In one paragraph

Review in International journal for equity in health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. The ESCMID ethics advisory committee (EEAC): purpose and challenges.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022
    Article
  6. Article
  7. Article
  8. 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

4 authors.

Faouzia TanveerDepartment of Biotechnology, Quaid-i-Azam University, Islamabad, Pakistan.
Ali Talha KhalilDepartment of Pathology, Lady Reading Hospital (MTI), Peshawar, Pakistan. alitalha.khalil@lrh.edu.pk.
Muhammad AliDepartment of Biotechnology, Quaid-i-Azam University, Islamabad, Pakistan.
Zabta Khan ShinwariPakistan Academy of Sciences, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 which started in Wuhan, China and swiftly expanded geographically worldwide, including to Low to Middle Income Countries (LMICs). This in turn raised numerous ethical concerns in preparedness, knowledge sharing, intellectual property rights, environmental health together with the serious constraints regarding readiness of health care systems in LMICs to respond to this enormous public health crisis. From the restrictions on public freedom and burgeoning socio-economic impacts to the rationing of scarce medical resources, the spread of COVID-19 is an extraordinary ethical dilemma for resource constrained nations with less developed health and research systems. In the current crisis, scientific knowledge and technology has an important role to play in effective response. Emergency preparedness is a shared responsibility of all countries with a moral obligation to support each other. This review discusses the ethical concerns regarding the national capacities and response strategies in LMICs to deal with the COVID-19 pandemic as well as the deep link between the environment and the increasing risk of pandemics.

Indexed as

Developing CountriesEnvironmentEthicsCoronavirus InfectionsCOVID-19ForecastingHumansPandemicsPneumonia, ViralCoronavirusEnvironmentEthicsLMICsPandemic

Identifiers

PMID33059674
PMCPMC7557237

What OpenQuestion holds

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LicenceCC BY
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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.