Evidence map›Paper›PMID 35329202›Full record

ArticleInternational journal of environmental research and public health2022

Agricultural Openness and the Risk of COVID-19 Incidence: Evidence from China.

Dezhen Wang, Buwajian Abula, Aniu Jizuo, Jianhua Si, Kaiyang Zhong, Yujiao Zhou

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.4field-weighted citation impact, top 13% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 4 institutions in 1 country.

Dezhen WangCollege of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China.
Buwajian AbulaCollege of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China.
Aniu JizuoSchool of Public Policy & Management, Tsinghua University, Beijing 100084, China.
Jianhua SiSchool of International Studies, Renmin University, Beijing 100872, China.
Kaiyang ZhongSchool of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China.ORCID 0000-0002-5575-0306
Yujiao ZhouSchool of Economics, Southwestern University of Finance and Economics, Chengdu 611130, China.ORCID 0000-0002-9234-6724
Southwestern University of Finance and Economics · CNXinjiang Agricultural University · CNRenmin University of China · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, there are large number of articles on the impact of COVID-19, but there are only a few articles on the impact of COVID-19 and international agriculture. Agriculture product is different from other industrial products. If domestic food cannot be self-sufficient, it must be resolved through imports. This will inevitably face the dilemma between the opening up agriculture and the risk of importing COVID-19. This paper pioneered the use of entropy method, TOPSIS method and grey correlation analysis to predict the correlation between agricultural opening to the outside world and the input and spread of COVID-19. We use the correlation matrix quantifying the number of confirmed COVID-19 cases and agricultural openness to deduce that there is a significant positive correlation between the flow of agricultural products caused by China's agricultural opening-up and the spread of COVID-19, and use the proposed matrix to predict the spread risk of COVID-19 in China. The results of the empirical analysis can provide strong evidence for decision-makers to balance the risk of COVID-19 transmission with the opening of agricultural markets, and they can take this evidence into full consideration to formulate reasonable policies. This has great implications both for preventing the spread of COVID-19 and for agricultural opening-up.

Indexed as

COVID-19AgricultureChinaFoodFood SupplyHumansentropy methodgrey correlation analysisgriculture opening-upinput and transmission of COVID-19TOPSIS

Identifiers

PMID35329202
PMCPMC8954341
OpenAlexW4221034738

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.