Evidence map›Paper›PMID 35031982›Full record

ArticleEnvironmental science and pollution research international2022

Effects of COVID-19 lockdown and unlock on the health of tropical large river with associated human health risk.

Baisakhi Chakraborty, Biswajit Bera, Partha Pratim Adhikary, Sumana Bhattacharjee, Sambhunath Roy, Soumik Saha, Debashish Sengupta, Pravat Kumar Shit

Open access · bronzeAbstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Baisakhi ChakrabortyPG Department of Geography, Raja N. L, Khan Women's College (Autonomous), Gope Palace, Midnapore, 721102, West Bengal, India.
Biswajit BeraDepartment of Geography, Sidho Kanho Birsha University, Purulia, India.
Partha Pratim AdhikaryICAR Indian Institute Water Management, Bhubaneswar, 751023, Odisha, India.
Sumana BhattacharjeeDepartment of Geography, Jogesh Chandra Chaudhuri College, University of Calcutta, 30, Prince Anwar Shah Rd, Badam Talla, Tollygunge, Kolkata, West Bengal, 700033, India.
Sambhunath RoyPG Department of Geography, Raja N. L, Khan Women's College (Autonomous), Gope Palace, Midnapore, 721102, West Bengal, India.
Soumik SahaDepartment of Geography, University of Calcutta, 35, Ballygunge Circular Road, Ballygunge, Kolkata, 700019, India.
Debashish SenguptaDepartment of Geology & Geophysics, Indian Institute of Technology (IIT), Kharagpur, 721302, (West Bengal), India.
Pravat Kumar ShitPG Department of Geography, Raja N. L, Khan Women's College (Autonomous), Gope Palace, Midnapore, 721102, West Bengal, India. pravatgeo2007@gmail.com.
University of Calcutta · INIndian Institute of Technology Kharagpur · INIndian Institute of Water Management · INSidho Kanho Birsa University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

River Damodar (India) is one of the most significant tropical large rivers and this river is carrying predominantly industrial effluents, urban sewage, and non-degradable chemical agricultural fertilizers. Several industries, cities, and townships directly depend on this important river throughout the year. It is highly essential to evaluate its surface water quality, characteristics, and improvement status during the COVID-19 lockdown and unlock phases. The major objectives of the present study are to analyse changing nature of heavy metals (Zn, Cd, Pb, Ni, Cr, and Fe) and microbial load (TVC, TC, and FC) of river water and to identify heavy metals impact on water quality and human health in pre, during, and after unlocking of COVID-19 lockdown. Here, a total of 33 water samples have been collected in the pre-lockdown, lockdown, and unlock phases. The results showed that decreasing trend of the microbial load was found in the lockdown phase. Heavy metal pollution index (HPI) illustrated that all samples are highly polluted (HPI > 150) during the pre-lockdown phase, while during the lockdown phase; HPI showed that around 54.54% of samples have been positively changed (low pollution level). During the unlock phase, 45.45% of samples were again amplified to the high pollution level. Pearson's correlation coefficient and hierarchical cluster analysis indicated strong relation among heavy metals with faecal coliform at a 0.05% level of significance. Noncarcinogenic hazard index (HI) shows the higher possibility of health risk (HI > 1) particularly for children in all the phases and during the lockdown phase, 36.36% of samples showed no possible health risk for adults (HI < 1). However, HI of dermal contact showed no possible health risk for children and adults in the assessment periods. This applied research can definitely assist planners and administrators in making effective solutions regarding public health.

Indexed as

COVID-19Metals, HeavyWater Pollutants, ChemicalAdultChildChinaCommunicable Disease ControlEnvironmental MonitoringHumansRisk AssessmentRiversMetals, HeavyWater Pollutants, ChemicalHeavy metals impactHierarchical cluster analysisMicrobial loadPearson’s correlation coefficientPollution index

Identifiers

PMID35031982
PMCPMC8760089
OpenAlexW4206676923

What OpenQuestion holds

Textmetadata
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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.