African swine fever outbreaks in China led to gross domestic product and economic losses

Suning, You; Liu, Tingyi; Zhang, Miao; Zhao, Xue; Dong, Yizhe; Wu, Bi; Wang, Yanzhen; Li, Juan; Wei, Xinjie; Shi, Baofeng

doi:10.1038/s43016-021-00362-1

Cited by 94 publications

(72 citation statements)

References 18 publications

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“…The pace of intensification in China is challenging biosecurity, evidenced in the pork industry which grew by more than 50 million tonnes since 2010 (Berthe, 2020), reaching 440 million pigs in 2018 (around 50% of the World' s population of pigs that year). Between the onset of African Swine Fever (ASF) in 2018 (Wang, Sun & Qiu, 2018) and late 2019, at least half the Chinese pig herd died or was euthanised because of ASF, with an estimated direct losses of US$141 billion (Reuters Staff, 2019;You et al, 2021). A coronavirus disease of pigs (Swine Acute Diarrhoea Syndrome or SADS-CoV) has killed millions more and has zoonotic potential (Gong et al, 2017;Edwards et al, 2020).…”

Section: Intestinal Flukesmentioning

confidence: 99%

Situation analysis on the roles and risks of wildlife in the emergence of human infectious diseases

Kock¹,

Caceres‐Escobar²

2022

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This situation analysis presents a thorough, evidence-based examination of the relationship between wildlife and zoonosis, wildlife and emerging human pathogens and associated diseases, their origins, drivers, and risk factors. There is considerable divergence of opinion around the subject both within and outside the biodiversity conservation community and given the ontological challenges and highly different perspectives, contradictory narrative is unsurprising. Context is all-important and to clarify this in the analysis, the evidence of human diseases coming from wildlife is compared to diseases emerging from domestic animals and humans themselves, to provide context and proportions of the relative risk. The report highlights key knowledge, and provides perspective on where research, policy, interventions, and capacity building are needed to reduce risks of zoonoses and emergent animal-origin human diseases globally.

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Section: Intestinal Flukesmentioning

confidence: 99%

Situation analysis on the roles and risks of wildlife in the emergence of human infectious diseases

Kock¹,

Caceres‐Escobar²

2022

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“…African Swine Fever (ASF) is a viral disease with near 100 percent mortality in domestic pigs and wild boar worldwide 1, 2 . The basic reproductive number (R0) has been estimated to be as high as 18.0 for transmission amongst domestic pigs 3 . Over the last 4 years, the outbreak has been reported in 35 countries worldwide, posing a global threat to the swine industry 4, 5 .…”

Section: Figmentioning

confidence: 99%

“…Over the last 4 years, the outbreak has been reported in 35 countries worldwide, posing a global threat to the swine industry 4, 5 . It is estimated that in 2019 alone, around 50 million pigs died as a consequence of the ASF outbreak with the total economic loss approaching US$111.2 billion 3 . Numerous efforts have been dedicated to developing a safe and effective vaccine against ASF, with only limited success and the potential biosecurity concern of creating new virus variants that may be more deadly and infectious 6 .…”

Section: Figmentioning

confidence: 99%

Multiplex CRISPR strategy targeting viral genome for agriculture and clinical use

Yang

Zheng

et al. 2022

Preprint

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African Swine Fever (ASF) is a viral disease with exceptionally high lethality in domestic pigs and wild boar worldwide, without any effective vaccine or drug to prevent its spread. In this study, we established a multiplexable CRISPR-Cas-gRNA system targeting 13 genomic loci in the ASF virus genome that could prevent viral replication by cutting its genome. Furthermore, we generated pig strains expressing the multiplexable CRISPR-Cas-gRNA via germline genome editing and demonstrated that the gene-edited pigs were more resistant to ASFV infection and less likely to spread the virus upon infection. As far as we know, our study presents the first living organism generated via germline editing to demonstrate resistance to viral infection via CRISPR-Cas. We anticipate our work to be helpful for both agricultural and biomedical applications, such as xenotransplantation.

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“…Therefore, the prediction of crude oil prices (COP) is crucial for investors, companies, and governments. The forecasting of the COP is also a challenging task because the COP can be influenced by multiple factors, including inflation, exchange rates, supply and demand, international politics, wars, and pandemics (Chai et al, 2018 ; You et al, 2021 ). COP time series have many characteristics, including intrinsic nonlinearity, randomness, sudden structural changes, volatility, and a chaotic nature (Cerqueti and Fanelli, 2021 ; Zhao et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Point and interval prediction of crude oil futures prices based on chaos theory and multiobjective slime mold algorithm

et al. 2022

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Crude oil is the most important energy source in the world, and fluctuations in oil prices can significantly influence investors, companies, and governments. However, crude oil prices have numerous characteristics, including randomness, sudden structural changes, intrinsic nonlinearity, volatility, and chaotic nature. This makes the accurate forecasting of crude oil prices a difficult and challenging task. In this paper, a hybrid prediction model for crude oil futures prices is proposed, the accuracy and robustness of which are demonstrated via controlled experiments and sensitivity analysis. This study uses a new data denoising method for data processing to improve the accuracy and stability of the predictions of crude oil prices. Furthermore, the chaotic time-series prediction method, shallow neural networks, linear model prediction methods, and deep learning methods are adopted as submodels. The results of interval forecasts with narrow widths and high prediction accuracies are derived by introducing a confidence interval adjustment coefficient. The results of the simulation experiments indicate that the proposed hybrid prediction model exhibits higher accuracy and efficiency, as well as better robustness of the forecasting than the control models. In summary, the proposed forecasting framework can derive accurate point and interval forecasts and provide a valuable reference for the price forecasting of crude oil futures.

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African swine fever outbreaks in China led to gross domestic product and economic losses

Cited by 94 publications

References 18 publications

Situation analysis on the roles and risks of wildlife in the emergence of human infectious diseases

Situation analysis on the roles and risks of wildlife in the emergence of human infectious diseases

Multiplex CRISPR strategy targeting viral genome for agriculture and clinical use

Point and interval prediction of crude oil futures prices based on chaos theory and multiobjective slime mold algorithm

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