Evidence map›Paper›PMID 35132304›Full record

ArticleGondwana research : international geoscience journal2023

COVID-19 and Sustainable Development Goals (SDGs): Scenario analysis through fuzzy cognitive map modeling.

Mariam Ameli, Zahra Shams Esfandabadi, Somayeh Sadeghi, Meisam Ranjbari, Maria Chiara Zanetti

Open access · greenAbstract read
In one paragraph

Article in Gondwana research : international geoscience journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
11.7field-weighted citation impact, top 1% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

  1. Pooled it
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  8. Does COVID-19 impact on financial markets of China-evidence from during and pre-COVID-19 outbreak.Environmental science and pollution research international · 2023
    Article
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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

5 authors at 4 institutions in 3 countries.

Mariam AmeliDepartment of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran.
Zahra Shams EsfandabadiDepartment of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, Turin, Italy.
Somayeh SadeghiDepartment of Industrial Engineering and Management Systems, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
Meisam RanjbariDepartment of Economics and Statistics "Cognetti de Martiis", University of Turin, Turin, Italy.
Maria Chiara ZanettiDepartment of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, Turin, Italy.
Polytechnic University of Turin · ITAmirkabir University of Technology · IRKharazmi University · IRUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 crisis has immensely impacted the implementation of the 2030 Agenda for Sustainable Development worldwide. This research aims at providing a policy response to support achieving the Sustainable Development Goals (SDGs) taking the COVID-19 long-term implications into account. To do so, a qualitative analytical method was employed in the following four steps. First, a fuzzy cognitive map was developed to specify causal-effect links of the interdependent SDGs in Iran as a developing country in the Middle East. Second, potential effects of the pandemic on the SDGs achievement were analyzed. Third, five strategies were formulated, including

Indexed as

Fuzzy cognitive mapPandemicPolicy recommendationScenario analysisSustainability

Identifiers

PMID35132304
PMCPMC8811702
OpenAlexW4210526507

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.