Evidence map›Paper›PMID 36442625›Full record

ArticleThe Science of the total environment2023

Bioaerosol dispersion and environmental risk simulation: Method and a case study for a biopharmaceutical plant of Gansu province, China.

Xin Xu, Chengxin Wang, Peng Wang, Yinghao Chu, Jing Guo, Xin Bo, Aijun Lin

Abstract read
In one paragraph

Article in The Science of the total environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Xin XuCollege of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, PR China.
Chengxin WangSchool of Architecture and Environment, Sichuan University, Chengdu 610065, China.
Peng Wang3Clear Technology Co., Ltd, Beijing 100029, China.
Yinghao ChuSchool of Architecture and Environment, Sichuan University, Chengdu 610065, China.
Jing GuoSchool of Economics and Management, Beihang University, Beijing 100191, China.
Xin BoCollege of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, PR China. Electronic address: boxin@buct.edu.cn.
Aijun LinCollege of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, PR China. Electronic address: linaj@mail.buct.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogenic bacteria pose a great threat to global public health from environmental and public health perspectives, especially regarding the impact of the COVID-19 pandemic worldwide. As a result, the increased risk of pathogenic bioaerosol exposure imposes a considerable health burden and raises specific concerns about the layout and location of vaccine manufacturers. This study proposed a grid computing method based on the CALPUFF modelling system and population-based environmental risks to reduce bioaerosol-related potential risks. We previously used the CALPUFF model to quantify the diffusion level, the spatial distribution of emissions, and potential environmental risks of bioaerosol leakage in Gansu province's Zhongmu Lanzhou biopharmaceutical plant from July 24, 2019, to August 20, 2019. By combining it with publicly available test data, the credibility was confirmed. Based on our previous research, the CALPUFF model application combined with the environmental population-based environmental risks in two scenarios: the layout and site selection, was explored by using the leakage accident of Zhongmu Lanzhou biopharmaceutical plant of Gansu province as a case study. Our results showed that the site selection method of scenario 2 coupled with the buffer area was more reasonable than scenario 1, and the final layout site selection point of scenario 2 was grid 157 as the optimal layout point. The simulation results demonstrated agreement with the actual survey. Our findings could assist global bioaerosol manufacturers in developing appropriate layout and site selection strategies to reduce bioaerosol-related potential environmental risks.

Indexed as

Biological ProductsCOVID-19ChinaHumansPandemicsPublic HealthRespiratory Aerosols and DropletsBiological ProductsBioaerosol emissionsBrucellaCALPUFF modelEnvironmental riskGrid computing methodVaccine enterprise land layout

Identifiers

PMID36442625
PMCPMC9691505

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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.