Evidence map›Paper›PMID 35317188›Full record

ReviewSustainable cities and society2022

Dynamics of SARS-CoV-2 spreading under the influence of environmental factors and strategies to tackle the pandemic: A systematic review.

Zunaira Asif, Zhi Chen, Saverio Stranges, Xin Zhao, Rehan Sadiq, Francisco Olea-Popelka, Changhui Peng, Fariborz Haghighat, Tong Yu

Open access · greenAbstract readReview
In one paragraph

Review in Sustainable cities and society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.1field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 37 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

9 authors at 6 institutions in 2 countries.

Zunaira AsifDepartment of Building, Civil and Environmental Engineering, Concordia University, Montreal, Canada.
Zhi ChenDepartment of Building, Civil and Environmental Engineering, Concordia University, Montreal, Canada.
Saverio StrangesDepartment of Epidemiology and Biostatistics, Western University, Ontario, Canada.
Xin ZhaoDepartment of Animal Science, McGill University, Montreal, Canada.
Rehan SadiqSchool of Engineering (Okanagan Campus), University of British Columbia, Kelowna, BC, Canada.
Francisco Olea-PopelkaDepartment of Pathology and Laboratory Medicine, Western University, Ontario, Canada.
Changhui PengDepartment of Biological Sciences, University of Quebec in Montreal, Canada.
Fariborz HaghighatDepartment of Building, Civil and Environmental Engineering, Concordia University, Montreal, Canada.
Tong YuDepartment of Civil and Environmental Engineering, University of Alberta, Canada.
Concordia University · CAWestern University · CAMcGill University · CAUniversité du Québec à Montréal · CAUniversity of Alberta · CAUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is deemed as the most critical world health calamity of the 21st century, leading to dramatic life loss. There is a pressing need to understand the multi-stage dynamics, including transmission routes of the virus and environmental conditions due to the possibility of multiple waves of COVID-19 in the future. In this paper, a systematic examination of the literature is conducted associating the virus-laden-aerosol and transmission of these microparticles into the multimedia environment, including built environments. Particularly, this paper provides a critical review of state-of-the-art modelling tools apt for COVID-19 spread and transmission pathways. GIS-based, risk-based, and artificial intelligence-based tools are discussed for their application in the surveillance and forecasting of COVID-19. Primary environmental factors that act as simulators for the spread of the virus include meteorological variation, low air quality, pollen abundance, and spatial-temporal variation. However, the influence of these environmental factors on COVID-19 spread is still equivocal because of other non-pharmaceutical factors. The limitations of different modelling methods suggest the need for a multidisciplinary approach, including the 'One-Health' concept. Extended One-Health-based decision tools would assist policymakers in making informed decisions such as social gatherings, indoor environment improvement, and COVID-19 risk mitigation by adapting the control measurements.

Indexed as

COVID-19Environmental modelsMultimedia environmentOne-healthRisk assessmentVirus transmission

Identifiers

PMID35317188
PMCPMC8925199
OpenAlexW4220677750

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.