Evidence map›Paper›PMID 35529170›Full record

ArticleMarine policy2022

Impact of COVID-19 lockdown on aquatic environment and fishing community: Boon or bane?

Abhijit Mallik, Puja Chakraborty, Shashi Bhushan, Binaya Bhusan Nayak

Open access · greenAbstract read
In one paragraph

Article in Marine policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 at 1 institution in 1 country.

Abhijit MallikFishery Resource Harvest and Post-Harvest Management, ICAR-Central Institute of Fisheries Education, Mumbai, India.
Puja ChakrabortyAquaculture Division, ICAR-Central Institute of Fisheries Education, Mumbai, India.
Shashi BhushanFishery Resource Harvest and Post-Harvest Management, ICAR-Central Institute of Fisheries Education, Mumbai, India.
Binaya Bhusan NayakFishery Resource Harvest and Post-Harvest Management, ICAR-Central Institute of Fisheries Education, Mumbai, India.
Central Institute of Fisheries Education · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 pandemic is a serious threat for mankind having an extensive socio-economic impact. However, it is considered as an unfortunate event with some positive environmental effects where nature is retrieving itself. The water quality index in different places of the world was reported to be improved during the lockdown, which in turn whipped up the regenerative process of fishes, sea turtles, marine mammals, and aquatic birds. Additionally, ecologically sensitive areas such as mangroves and coral reefs were also seen rejuvenating during COVID-19 seal off. But these favourable implications are temporary as there is an unexpected surge in plastic waste generation in the form of PPE kits, face masks, gloves, and other healthcare equipment. Moreover, the outbreak of the pandemic resulted in the complete closure of fishing activities, decline in fish catch, market disruption, and change in consumer preference. To address these multidimensional effects of the COVID-19 pandemic, government organizations, NGOs, and other concerned authorities should extend their support to amplify the positive impacts of the lockdown and reduce the subsequent pollution level while encouraging the fisheries sector.

Indexed as

Aquatic resourcesCOVID-19Fishermen communityHabitat restorationLockdownSmall scale fisheries

Identifiers

PMID35529170
PMCPMC9068432
OpenAlexW4229026730

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.