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      The influence of COVID-19 on agricultural economy and emergency mitigation measures in China: A text mining analysis

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          Abstract

          Understanding the influence of COVID-19 on China's agricultural economy and the Chinese government's emergency measures to ease the economic impacts of viral spread can offer urgently-needed lessons while this virus continues to spread across the globe. Thus, this study collected over 750,000 words upon the topic of COVID-19 and agriculture from the largest two media channels in China: WeChat and Sina Weibo, and employed web crawler technology and text mining method to explore the influence of COVID-19 on agricultural economy and mitigation measures in China. The results show that: (1) the impact of COVID-19 on China's agricultural economy at the very first phase is mainly reflected in eight aspects as crop production, agricultural products supply, livestock production, farmers' income and employment, economic crop development, agricultural products sales model, leisure agriculture development, and agricultural products trade. (2) The government's immediate countermeasures include resuming agricultural production and farmers' work, providing financial support, stabilizing agricultural production and products supply, promoting agricultural products sale, providing subsidies, providing agricultural technology guidance and field management, and providing assistance to poor farmers to reduce poverty. (3) The order of government's immediate countermeasures is not all in line with the order of impact aspects, which indicates that more-tailored policies should be implemented to mitigate the strikes of COVID-19 on China's agricultural economy in the future.

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          Response to the COVID-19 Epidemic: The Chinese Experience and Implications for Other Countries

          The ongoing outbreak of the novel coronavirus disease (COVID-19) that occurred in China is rapidly spreading globally. China’s bond and strict containment measures have been proved (in practice) to significantly reduce the spread of the epidemic. This was obtained through the use of emergency control measures in the epidemic areas and the integration of resources from multiple systems, including business, community, technology, education, and transportation, across the country. In order to better understand how China has managed to reduce the public health and economic impacts of the COVID-19 epidemic, this editorial systematically reviews the specific measures for infection prevention and control of the disease. The best practices for COVID-19 eradication in China provide evidence-based strategies that could be replicated in other countries.
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            Agricultural intensification and damages to human health in relation to agrochemicals: Application of artificial intelligence

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              Use of artificial neural networks to rescue agrochemical-based health hazards: A resource optimisation method for cleaner crop production

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Methodology
                Role: Data curationRole: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                23 October 2020
                2020
                23 October 2020
                : 15
                : 10
                : e0241167
                Affiliations
                [1 ] School of Economics, Jiangxi University of Finance and Economics, Jiangxi, China
                [2 ] School of Economics and Management, Zhejiang A&F University, Zhejiang, China
                Institute for Advanced Sustainability Studies, GERMANY
                Author notes

                Competing Interests: NO authors have competing interests.

                Author information
                https://orcid.org/0000-0001-7204-6313
                https://orcid.org/0000-0003-4539-5272
                Article
                PONE-D-20-13977
                10.1371/journal.pone.0241167
                7584181
                33095814
                9d8da6ab-6d26-48a0-8e10-7d06864c3661
                © 2020 Pan et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 14 May 2020
                : 11 October 2020
                Page count
                Figures: 4, Tables: 2, Pages: 20
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: No. 71863016; No. 71673123
                Award Recipient :
                Funded by: National Outstanding Youth Science Fund Project of National Natural Science Foundation of China (CN)
                Award ID: No. 2018ACB21004
                Award Recipient :
                Funded by: Jiangxi Provincial Department of Science and Technology (CN)
                Award ID: No. GJJ170349
                Award Recipient :
                We would like to thank the financial support from the National Youth Talent Support Program, the National Natural Science Foundation of China (No. 71863016; No. 71673123), the Outstanding Youth of Natural Science Foundation in Jiangxi Province (No. 2018ACB21004), and the Science and Technology Research Foundation of Jiangxi Province (No. GJJ170349).
                Categories
                Research Article
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Viral Diseases
                Covid 19
                People and Places
                Population Groupings
                Professions
                Agricultural Workers
                Biology and Life Sciences
                Agriculture
                Animal Management
                Livestock
                People and Places
                Geographical Locations
                Asia
                China
                Biology and Life Sciences
                Agriculture
                Agricultural Methods
                Agricultural Production
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Vegetables
                Biology and Life Sciences
                Agriculture
                Social Sciences
                Economics
                Finance
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.
                COVID-19

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                Uncategorized

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