Evidence map›Paper›PMID 33250588›Full record

ArticleJournal of cleaner production2021

Environmental challenges from the increasing medical waste since SARS outbreak.

Yujun Wei, Meng Cui, Zhonghua Ye, Qingjun Guo

Abstract read
In one paragraph

Article in Journal of cleaner production, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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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

4 authors.

Yujun WeiInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Meng CuiCenter for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Zhonghua YeSchool of Public Policy and Management, University of Chinese Academy of Sciences, Beijing, 100049, China.
Qingjun GuoCenter for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical waste is a special class of hazardous pollutants. Improper treatment would cause secondary environmental pollution, especially when responding to public health emergencies. However, there are relatively few researches on the generation of medical waste, and there is a lack of basic understanding of its spatial-temporal heterogeneity. The outbreak of SARS in 2002 is a turning point in China's medical system reform. We estimated the production of medical waste and pollutants on a provincial scale in China from 2002 to 2018, using the data of medical statistics. Moreover, we forecasted the trend of medical waste in China until 2030, using a combination of environmental pressure model (STIRPAT) and time series model (ARIMA). We found that with the development of China's medical system and economy (such as the increase in personal income and popularization of universal health care), the number of seeking medical treatment rapidly increase led to explosive growth in medical waste (∼240%) and pollutants (∼260%), and large hospitals are the major sources. By 2030, the production of medical waste would still increase by more than 50% compared with 2018 even there is no the pandemic due to the huge population. The production of medical waste in the eastern region was higher than that in the west under the influence of higher population and GDP, while the per capita medical waste was only affected by household consumption level which had no regional characteristic. Additionally, Hg loads from medical waste are more than twice as high as that from discharged wastewater in some regions, which are facing great control pressures. In the future, when planning for medical waste disposal, policymakers shall increase the disposal facilities based on population and promote mobile treatment equipment to improve efficiency, increase the number of beds in medical institutions rather than building more hospitals, and strengthen basic research on the environmental impact.

Indexed as

Health care institutionsMedical pollutantMedical servicesMedical wasteTrend forecasting

Identifiers

PMID33250588
PMCPMC7684014

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.